功能性富集材料用于微量成分的近红外光谱分析
|
摘要
近红外光谱技术因其快速、无损、经济等特点广泛应用于复杂体系分析。然而,近红外光谱的谱峰重叠,特征峰不明显,需要借助化学计量学方法提取信息。同时,近红外光谱吸收信号较弱,导致其分析方法的检测限较高,应用受到限制。因此,针对近红外光谱分析技术检测限较高的问题,本论文制备了一系列功能性材料,富集溶液中微量组分,结合化学计量学,使用近红外漫反射光谱技术检测,探讨微量成分的近红外光谱分析。具体内容包括以下几个方面：
1、为了增强近红外光谱微弱的信号,提出了功能性材料富集应用于近红外漫反射光谱技术检测溶液中重金属离子的方法。制备了巯基聚倍半硅氧烷微球(PMPSQ),用来高效富集水溶液中的微量汞离子和银离子。金属离子与PMPSQ的巯基官能团螯合后,近红外光谱发生了相应变化,因此,可以使用近红外光谱技术间接测定金属离子。采集富集后材料的近红外漫反射光谱,使用偏最小二乘法建立定量校正模型。结果表明,PMPSQ富集结合化学计量学方法,使用近红外光谱技术可以同时定量溶液中微量的汞离子和银离子,最低检出浓度分别为0.16mg L-1和0.15mg L-1。吸附材料上C-H基团的变化是定量的基础。
2、为了探索近红外光谱技术用于微量组分分析的可行性,使用功能性材料富集结合化学计量学方法进行讨论。制备了层状双氢氧化物快速吸附水溶液中微量的农药MCPA和DCPP,使用了纳米材料羟基磷灰石富集水中Cr3+,通过化学计量学方法滤除噪声、扣除光谱中的变动背景。定量分析结果表明,功能性材料富集结合近红外漫反射光谱技术,可以测定样品中微量的农药和Cr3+。其中,农药的最大绝对误差是8pg,Cr3+是30μg,在100mL溶液中对应的浓度误差为80ng mL-1(?)300ng mL-1。因此,近红外漫反射光谱技术可以用于微量分析。
3、为探讨近红外光谱技术应用于生物体系分析的可行性,制备了无机材料磁性羟基磷灰石,富集溶液中的微量BSA,在外加磁场的作用下,分离出吸附材料,转移到石英滤膜上,采集相应的近红外漫反射光谱,结合化学计量学方法对溶液中的目标物进行定量分析,实现了近红外光谱技术对生物体系分析的初步探索。
4、制备了马来酰亚胺基团修饰的SBA-15(MM-SBA-15),选择性吸附还原型谷胱甘肽(GSH),探讨了近红外光谱技术检测溶液中GSH的可行性。将吸附有GSH的MM-SBA-15转移到石英滤膜上,采集相应的近红外漫反射光谱,建立偏最小二乘回归模型,定量分析结果表明,结合化学计量学方法,使用近红外光谱技术能够检测溶液中微量的GSH。
Near-infrared (NIR) spectroscopy has been proven to be a rapid, non-destructive and cost-effective quantitative method for complex samples. NIR spectrum consists of non-specific and overlapping bands. Therefore, chemometric methods are used to establish calibration models for quantitative analysis. On the other hand, application of the method in microanalysis is badly restricted by the low molar absorptivity of NIR signals. In this thesis, in order to reduce the detection limit, functional materials were prepared for separation and adsorption of micro-compound from aqueous solution. With the aid of enrichment and chemometric methods, the sensitivity of NIR spectroscopy was improved. The contents of this dissertation include:
1. A high capacity adsorbent of thiol-functionalized polysilsesquioxane microspheres, named PMPSQ, was prepared for preconcentration of Hg2+and Ag+from aqueous solutions. After adsorbing the analytes onto the adsorbent, near infrared diffuse reflectance spectra (NIRDRS) was measured and partial least squares (PLS) models was established for fast and simultaneous quantitative prediction. Because the interaction of the metal ions with functional group of adsorbent can be reflected in the spectra, the models built with Hg2+and Ag+samples were proven to be efficient enough for precise prediction. The limit of detection for Hg2+and Ag+were0.16and0.15mg L-1, respectively. The wavenumber changes of C-H group are thought to be quantitative basis.
2. The possibility to achieve sensitive detection of micro-components by using NIRDRS combined with chemometrics method is studied with two experimental datasets. Layered double hydroxides (LDH) and hydroxyapatite (HAP) were used for adsorption of pesticides and Cr3+from solutions, respectively. Then NIRDRS of adsorbents with analytes were measured directly. The results show that a very high sensitivity can be obtained with the help of chemometric approaches. The maximum absolute prediction error of the method can be as low as8μg for the pesticides and30μg for the Cr3+. The quantity is an equivalence of80ng mL-1and300ng mL-1if100mL solution is used for the analysis.
3. Feasibility for quantitative determination of protein in micro-samples was studied by using NIRDRS. A magnetic materials-magnetic hydroxyapatite (mHAP) was synthesized for enrichment of bovine serum albumin (BSA) from aqueous solutions. After separation under applied magnetic field, mHAP with analyst was dropped onto quartz fiber filter. Then the corresponding NIRDRS were collected and PLS model was established for fast quantitative prediction. The experiment is a tentative exploration for determination BSA with NIRDRS.
4. A method for quantitative determination of glutathione (GSH) in solutions was developed by using selective preconcentration and NIRDRS. Maleimido modified SBA-15(MM-SBA-15) was prepared for selective enrichment of GSH. In the experiment, MM-SBA-15with different concentration of GSH was dropped onto quartz fiber filter. Then NIR spectra in diffuse mode were collected and PLS model was established for quantitative prediction. The quantitative analysis result shows that trace GSH can be detected. Therefore, NIRDRS combined with selective preconcentration can provide a feasible way for determination GSH in aqueous solution.
1、为了增强近红外光谱微弱的信号,提出了功能性材料富集应用于近红外漫反射光谱技术检测溶液中重金属离子的方法。制备了巯基聚倍半硅氧烷微球(PMPSQ),用来高效富集水溶液中的微量汞离子和银离子。金属离子与PMPSQ的巯基官能团螯合后,近红外光谱发生了相应变化,因此,可以使用近红外光谱技术间接测定金属离子。采集富集后材料的近红外漫反射光谱,使用偏最小二乘法建立定量校正模型。结果表明,PMPSQ富集结合化学计量学方法,使用近红外光谱技术可以同时定量溶液中微量的汞离子和银离子,最低检出浓度分别为0.16mg L-1和0.15mg L-1。吸附材料上C-H基团的变化是定量的基础。
2、为了探索近红外光谱技术用于微量组分分析的可行性,使用功能性材料富集结合化学计量学方法进行讨论。制备了层状双氢氧化物快速吸附水溶液中微量的农药MCPA和DCPP,使用了纳米材料羟基磷灰石富集水中Cr3+,通过化学计量学方法滤除噪声、扣除光谱中的变动背景。定量分析结果表明,功能性材料富集结合近红外漫反射光谱技术,可以测定样品中微量的农药和Cr3+。其中,农药的最大绝对误差是8pg,Cr3+是30μg,在100mL溶液中对应的浓度误差为80ng mL-1(?)300ng mL-1。因此,近红外漫反射光谱技术可以用于微量分析。
3、为探讨近红外光谱技术应用于生物体系分析的可行性,制备了无机材料磁性羟基磷灰石,富集溶液中的微量BSA,在外加磁场的作用下,分离出吸附材料,转移到石英滤膜上,采集相应的近红外漫反射光谱,结合化学计量学方法对溶液中的目标物进行定量分析,实现了近红外光谱技术对生物体系分析的初步探索。
4、制备了马来酰亚胺基团修饰的SBA-15(MM-SBA-15),选择性吸附还原型谷胱甘肽(GSH),探讨了近红外光谱技术检测溶液中GSH的可行性。将吸附有GSH的MM-SBA-15转移到石英滤膜上,采集相应的近红外漫反射光谱,建立偏最小二乘回归模型,定量分析结果表明,结合化学计量学方法,使用近红外光谱技术能够检测溶液中微量的GSH。
Near-infrared (NIR) spectroscopy has been proven to be a rapid, non-destructive and cost-effective quantitative method for complex samples. NIR spectrum consists of non-specific and overlapping bands. Therefore, chemometric methods are used to establish calibration models for quantitative analysis. On the other hand, application of the method in microanalysis is badly restricted by the low molar absorptivity of NIR signals. In this thesis, in order to reduce the detection limit, functional materials were prepared for separation and adsorption of micro-compound from aqueous solution. With the aid of enrichment and chemometric methods, the sensitivity of NIR spectroscopy was improved. The contents of this dissertation include:
1. A high capacity adsorbent of thiol-functionalized polysilsesquioxane microspheres, named PMPSQ, was prepared for preconcentration of Hg2+and Ag+from aqueous solutions. After adsorbing the analytes onto the adsorbent, near infrared diffuse reflectance spectra (NIRDRS) was measured and partial least squares (PLS) models was established for fast and simultaneous quantitative prediction. Because the interaction of the metal ions with functional group of adsorbent can be reflected in the spectra, the models built with Hg2+and Ag+samples were proven to be efficient enough for precise prediction. The limit of detection for Hg2+and Ag+were0.16and0.15mg L-1, respectively. The wavenumber changes of C-H group are thought to be quantitative basis.
2. The possibility to achieve sensitive detection of micro-components by using NIRDRS combined with chemometrics method is studied with two experimental datasets. Layered double hydroxides (LDH) and hydroxyapatite (HAP) were used for adsorption of pesticides and Cr3+from solutions, respectively. Then NIRDRS of adsorbents with analytes were measured directly. The results show that a very high sensitivity can be obtained with the help of chemometric approaches. The maximum absolute prediction error of the method can be as low as8μg for the pesticides and30μg for the Cr3+. The quantity is an equivalence of80ng mL-1and300ng mL-1if100mL solution is used for the analysis.
3. Feasibility for quantitative determination of protein in micro-samples was studied by using NIRDRS. A magnetic materials-magnetic hydroxyapatite (mHAP) was synthesized for enrichment of bovine serum albumin (BSA) from aqueous solutions. After separation under applied magnetic field, mHAP with analyst was dropped onto quartz fiber filter. Then the corresponding NIRDRS were collected and PLS model was established for fast quantitative prediction. The experiment is a tentative exploration for determination BSA with NIRDRS.
4. A method for quantitative determination of glutathione (GSH) in solutions was developed by using selective preconcentration and NIRDRS. Maleimido modified SBA-15(MM-SBA-15) was prepared for selective enrichment of GSH. In the experiment, MM-SBA-15with different concentration of GSH was dropped onto quartz fiber filter. Then NIR spectra in diffuse mode were collected and PLS model was established for quantitative prediction. The quantitative analysis result shows that trace GSH can be detected. Therefore, NIRDRS combined with selective preconcentration can provide a feasible way for determination GSH in aqueous solution.
引文
[1]严衍禄,陈斌,朱大洲等.近红外光谱分析的原理,技术与应用.北京：中国轻工业出版社,2013：178-272
[2]陆婉珍.现代近红外光谱分析技术.北京：中国石化出版社,2007：21-31
[3]吴瑾光.近代傅里叶变换红外光谱分析技术及应用.北京：科学技术文献出版社,1994
[4]Chen J, Arnold M A, Small G W, Comparison of combination and first overtone spectral regions for near-infrared calibration models for glucose and other biomolecules in aqueous solutions. Anal Chem.2004,76:5405-5413
[5]Berntsson O, Danielsson L G, Folestad S. Estimation of effective sample size when analysing powders with diffuse reflectance near-infrared spectrometry. Anal Chim Acta, 1998,364:243-251
[6]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:An application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[7]Brimmer P J, Griffiths P R. Effect of absorbing matrices on diffuse reflectance infrared spectra. Anal Chem,1986,58:2179-2184
[8]Sirita J, Phanichphant S, Meunier F C. Quantitative analysis of adsorbate concentrations by diffuse reflectance FT-IR. Anal Chem,2007,79:3912-3918
[9]Kubelka P. New contributions to the optics of intensely light-scattering materials. Part Ⅰ. J Optical Soc Am,1948,38:448-457
[10]Kubelka P, Munk F. An article on optics of paint layers. J Z tech Physik,1931,12: 593-601
[11]梁逸曾,俞汝勤.化学计量学.北京：高等教育出版社,2003
[12]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[13]Archibald D D, Akin D E. Use of spectral window preprocessing for selecting near-infrared reflectance wavelengths for determination of the degree of enzymatic retting of intact flax stems. Vib Spectrosc,2000,23:169-180
[14]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[15]Cappadona S, Levander F, Jansson M, et al. Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry. Anal Chem,2008,80:4960-4968
[16]Eilers P H C. A perfect smoother. Anal Chem,2003,76:3631-3636
[17]Eilers P H C. Parametric time warping. Anal Chem,2004,76:404-411
[18]Jirasek A, Schulze G, Yu M M L, et al. Accuracy and precision of manual baseline determination. Appl Spectrosc,2004,58:1488-1499
[19]Yeow Y L, Leon Y K.A general computational method for converting normal spectra into derivative spectra. Appl Spectrosc,2005,59:584-592
[20]Ma C X, Shao X G Continuous wavelet transform applied to removing the fluctuating background in near-infrared spectra. J Chem Inf Comput Sci,2004,44:907-911
[21]Geladi P, MacDougall D, Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc,1985,39:491-500
[22]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:An application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[23]Feudale R N, Woody N A, Tan H, et al. Transfer of multivariate calibration models:a review. Chemometr Intell Lab Syst,1995,29:233-241
[24]Martens H, Pram Nielsen J, Balling Engelsen S. Light scattering and light absorbance separated by extended multiplicative signal correction, application to near-infrared transmission analysis of powder mixtures. Anal Chem,2003,75:394-404
[25]Gallagher N B, Blake T A, Gassman P L. Application of extended inverse scatter correction to mid-infrared reflectance spectra of soil. J Chemometr,2005,19:271-281
[26]Windig W, Shaver J, Bro R. Loopy MSC:A simple way to improve multiplicative scatter correction. Appl Spectrosc,2008,62:1153-1159
[27]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[28]Fearn T, Riccioli C, Garrido-Varo A, et al. On the geometry of SNV and MSC. Chemom Intell Lab Syst,2009,96:22-26
[29]Jakubowska M. Inverse continuous wavelet transform in voltammetry. Chemom Intell Lab Syst,2008,94:131-139
[30]Shao X G, Leung A K M, Chau F T. Wavelet:A new trend in chemistry. Accounts Chem Res,2003,36:276-283
[31]Chen D, Wang F, Shao X Q et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[32]Cappadona S, Levander F, Jansson M, et al. Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry. Anal Chem,2008,80:4960-4968
[33]Forma M, Oliveri P, Casale M. Alternative common bases and signal compression for wavelets application in chemometrics. Anal Bioanal Chem,2011,339:1929-1939
[34]Chen D, Shao X Q Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[35]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[36]Shao X G, Cai W S. Resolution of multicomponent chromatograms by window factor analysis with wavelet transform preprocessing. J Chemometr,1998,12:85-93
[37]Zhang Z M, Chen S, Liang Y Z, et al. An intelligent background-correction algorithm for highly fluorescent samples in Raman spectroscopy. J Raman Spectrosc,2010,41:659-669
[38]Zhang Z M, Chen S, Liang Y Z. Peak alignment using wavelet pattern matching and differential evolution. Talanta,2011,83:1108-1117
[39]Jr Harrell F E, Lee K L, Mark D B. Multivariable prognostic models:Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med,1996,15:361-387
[40]Duranmeras I, Delapena A M, Espinosamansilla A, et al. Multicomponent determination of flavor enhancers in food preparations by partial least-squares and principal component regression modeling of spectrophotometric data. Analyst,1993,118:807-813
[41]Goodarzi M, Olivieri A C, Freitas M P. Principal component analysis-adaptive neuro-fuzzy inference systems (ANFISs) for the simultaneous spectrophotometric determination of three metals in water samples. Spectrochim Acta A,2009,73:608-614
[42]Hemmateenejad B, Elyasi M. A segmented principal component analysis-regression approach to quantitative structure-activity relationship modeling. Anal Chim Acta,2009, 646:30-38
[43]Meissl K.; Smidt E, Schwanninger M, et al. Determination of humic acids content in composts by means of near-and mid-infrared spectroscopy and partial least squares regression models. Appl Spectrosc,2008,62:873-880
[44]Cai J R, Chen Q S, Wan X M, et al. Determination of total volatile basic nitrogen (TVB-N) content and Warner-Bratzler shear force (WBSF) in pork using Fourier transform near infrared (FT-NIR) spectroscopy. Food Chem,2011,126:1354-1360
[45]Rubert-Nason K F, Holeski L M, Couture J J, et al. Rapid phytochemical analysis of birch (Betula) and poplar (Populus) foliage by near-infrared reflectance spectroscopy. Anal Bioanal Chem,2013,405:1333-1344
[46]Picard R R, Cook R D. Cross-validation of regression models. J Am Stat Assoc,1984,79: 575-583
[47]Xu Q S, Liang Y Z. Monte Carlo cross validation. Chemometr Intell Lab Syst,2001,56: 1-11
[48]Wongravee K, Lloyd G R, Hall J, et al. Monte-Carlo methods for determining optimal number of significant variables. Application to mouse urinary profiles. Metabolomics, 2009,5:387-406
[49]Haaland D M, Thomas E V. Partial least-squares methods for spectral analyses.1. Relation to other quantitative calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[50]Chen L, Wang J, Ye Z, et al. Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem,2012,135:338-342
[51]Balabin R M, Lomakina E I, Safieva R Z. Neural network (ANN) approach to biodiesel analysis:analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel,2011,90:2007-2015
[52]Thissen U, Pepers M, Ustun B, et al. Comparing support vector machines to PLS for spectral regression applications. Chemom Intell Lab Syst,2004,73:169-179
[53]Chauchard F, Cogdill R, Roussel S, et al. Application of LS-SVM to non-linear phenomena in NIR spectroscopy:development of a robust and portable sensor for acidity prediction in grapes. Chemom Intell Lab Syst,2004,71:141-150.
[54]Thissen U, Ustun B, Meissen W J, et al. Multivariate calibration with least-squares support vector machines. Anal Chem,2004,76:3099-3105
[55]Norris K H, Hart J R. Direct spectrophotometric determination of moisture cotent of grain and seeds. Principles and methods of measuring moisture in liquids and solids. 1965:19-25
[56]Lu G Q, Huang H H, Zhang D P. Prediction of sweetpotato starch physiochemical quality and pasting properties using near-infrared reflectance spectroscopy. Food Chem,2006,94: 632-639
[57]Liu F, Zhang F, Jin Z L, et al. Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near-infrared spectroscopy. Anal Chim Acta,2008,629:56-65
[58]Shen F, Niu X, Yang D, et al. Determination of amino acids in Chinese Rice Wine by fourier transform near-infrared spectroscopy. J Agric Food Chem,2010,58:9809-9816
[59]Khodabux K, Sophia M, L'Omelette S, et al. Chemical and near-infrared determination of moisture, fat and protein in tuna fishes. Food Chem,2007,102:669-675
[60]Uddin M, Okazaki E, Fukushima H, et al. Nondestructive determination of water and protein in surimi by near-infrared spectroscopy. Food Chem,2006,96:491-495
[61]Brenna O V, Berardo N. Application of near-infrared reflectance spectroscopy (NIRS) to the evaluation of carotenoids content in maize. J Agric Food Chem,2004,52:5577-5582
[62]Moron A, Cozzolino D, Determination of macro elements in alfalfa and white clover by near-infrared reflectance spectroscopy. J Agric Sci,2002,139:413-423
[63]Ng C L, Wehling R L, Cuppett S L. Method for determining frying oil degradation by near-infrared spectroscopy. J Agric Food Chem,2007,55:593-597
[64]Delwiche S R, Bean M M, Miller R E, et al. Apparent amylose content of milled rice by near-infrared reflectance spectrophotometry. Cereal Chem,1995,72:182-187
[65]Cozzolino D, Smyth H E, Gishen M. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal Origins. J Agric Food Chem,2003,51: 7703-7708
[66]Liu L, Cozzolino D, Cynkar W U, et al. Geographic classification of Spanish and Australian Tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis. J Agric Food Chem,2006,54:6754-6759
[67]Xie L J, Ying Y B, Ying T J, et al. Discrimination of transgenic tomatoes based on visible/near-infrared spectra. Anal Chim Acta,2007,584:379-384
[68]Jiao Z, Si X X, Liu G K, et al. Unintended compositional changes in transgenic rice seeds (oryza sativa L.) studied by spectral and chromatographic analysis coupled with chemometrics methods. J Agric Food Chem,2010,58:1746-1754
[69]Li H, Lv X W, Wang J, et al. Quantitative determination of soybean meal content in compound feeds:comparison of near-infrared spectroscopy and real-time PCR. Anal Bioanal Chem,2007,389:2313-2322
[70]Van Raamsdonk L W D, Von Hoist C, Baeten V, et al. New developments in the detection and identification of processed animal proteins in feeds. Anim Feed Sci Technol,2007, 133:63-83
[71]Gaspardo B, Del Zotto S, Torelli E, et al. A rapid method for detection of fumonisins B1 and B2 in corn meal using Fourier transform near infrared (FT-NIR) spectroscopy implemented with integrating sphere. Food Chem,2012,135:1608-1612
[72]Tripathi S, Mishra H N. A rapid FT-NIR method for estimation of aflatoxin B1 in red chili powder. Food control,2009,20:840-849
[73]Fluckiger M, Brown M R, Ward L R, et al. Predicting glycogen concentration in the foot muscle of abalone using near infrared reflectance spectroscopy (NIRS). Food Chem,2011, 126:181-1820
[74]Shi J H; Chen Z L; Shao Y N, et al. Application of vis/NIR diffuse reflectance spectroscopy to the rapid detection and identification of tomato fruit via space mutation breeding. Spectrosc Spect Anal,2011,31:387-389
[75]Wang J, Nakano K, Ohashi S. Nondestructive evaluation of jujube quality by visible and near-infrared spectroscopy. LWT-Food Sci Technol,2011,44:1119-1125
[76]Niu X, Zhao Z, Jia K, et al. A feasibility study on quantitative analysis of glucose and fructose in lotus root powder by FT-NIR spectroscopy and chemometrics. Food Chem, 2012,133:592-597
[77]Mignani A G, Ciaccheri L, Ottevaere H, et al. Visible and near-infrared absorption spectroscopy by an integrating sphere and optical fibers for quantifying and discriminating the adulteration of extra virgin olive oil from Tuscany. Anal Bioanal Chem,2011,399: 1315-1324
[78]Ottavian M, Facco P, Fasolato L, et al. Use of near-infrared spectroscopy for fast fraud detection in seafood:application to the Authentication of Wild European Sea Bass (Dicentrarchus labrax). J Agric Food Chem,2012,60:639-648
[79]Galvis-Sanchez A C, Lopes J A, Delgadillo I, et al. Fourier transform near-infrared spectroscopy application for sea salt quality evaluation. J Agric Food Chem,2011, 59:11109-11116
[80]Chen L, Wang J, Ye Z, et al. Classification of chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem,2012,135:338-342
[81]Ghasemi-Varnamkhasti M, Mohtasebi S S, Rodriguez-Mendez M L, et al. Screening analysis of beer ageing using near infrared spectroscopy and the Successive Projections Algorithm for variable selection. Talanta,2012,89:286-291
[82]Kuligowski J, Carrion D, Quintas G, et al. Direct determination of polymerised triacylglycerides in deep-frying vegetable oil by near infrared spectroscopy using Partial Least Squares regression. Food Chem,2012,131:353-359
[83]Plans M, Simo J, Casanas F, et al. Near-infrared spectroscopy analysis of seed coats of common beans (phaseolus vulgaris L.):a potential tool for breeding and quality evaluation. J Agric Food Chem,2012,60:706-712
[84]Fox G P, O'Donnell N H, Stewart P N, et al. Estimating hydrogen cyanide in forage sorghum (Sorghum bicolor) by near-infrared spectroscopy. J Agric Food Chem,2012,60, 6183-6187
[85]Kelly J J, Barlow C H, Jinguji T M, et al. Prediction of gasoline octane numbers from near-infrared spectral features in the range 660-1215 nm. Anal Chem,1989,61:313-320
[86]Macho S, Larrechi M S. Near-infrared spectroscopy and multivariate calibration for the quantitative determination of certain properties in the petrochemical industry. TrAC-Trends Anal Chem,2002,21:799-806
[87]Balabin R M, Safieva R Z. Gasoline classification by source and type based on near infrared (NIR) spectroscopy data. Fuel,2008,87:1096-1101
[88]Falla F S. Larini C, Le Roux G A C, et al. Characterization of crude petroleum by NIR. J Petrol Sci Eng,2006,51:127-137
[89]Fernandes H L, Raimundo I M, Pasquini C, et al. Simultaneous determination of methanol and ethanol in gasoline using NIR spectroscopy:effect of gasoline composition. Talanta, 2008,75:804-810
[90]Amat-Tosello A, Dupuy N, Kister J. Contribution of external parameter orthogonalisation for calibration transfer in short waves-Near infrared spectroscopy application to gasoline quality. Anal Chim Acta,2009,642:6-11
[91]Balabin R M, Safieva R Z, Lomakina E I. Gasoline classification using near infrared (NIR) spectroscopy data:comparison of multivariate techniques. Anal Chim Acta,2010,671: 27-35
[92]Balabin R M, Safieva R Z. Biodiesel classification by base stock type (vegetable oil) using near infrared spectroscopy data. Anal Chim Acta,2011,689:190-197
[93]Balabin R M. Near-infrared (NIR) spectroscopy for biodiesel analysis:fractional composition, iodine value, and cold filter plugging point from one vibrational spectrum. Energ Fuel,2011,25:2373-2382
[94]Reboucas M V, Brandao D S, Trindade A, et al. Chemical composition determination of complex organic-aqueous mixtures of alcohols, acetone, acetonitrile, hydrocarbons and water by near-infrared spectroscopy. Vib Spectrosc,2011,55:172-182
[95]Reboucas M V, Dos Santos J B, Domingos D, et al. Near-infrared spectroscopic prediction of chemical composition of a series of petrochemical process streams for aromatics production. Vib Spectrosc 2010,52:97-102
[96]Boog J H F, Silveira E L C, de Caland L B, et al. Determining the residual alcohol in biodiesel through its flash point. Fuel,2011,90:905-907
[97]Canha N, Felizardo P, Menezes J C, et al. Multivariate near infrared spectroscopy models for predicting the oxidative stability of biodiesel:effect of antioxidants addition. Fuel, 2012,97:352-357
[98]Pinzi S, Alonso F, Olmo J G, et al. Near infrared reflectance spectroscopy and multivariate analysis to monitor reaction products during biodiesel production. Fuel,2012,97: 354-359
[99]Zhao Y, Xu C, Zhao S, et al. Pattern recognition technology application in intelligent processing of heavy oil. Energ Fuel,2012,26:7251-7256
[100]Pontes M J C, Rocha A M J, Pimentel M F. Determining the quality of insulating oils using near infrared spectroscopy and wavelength selection. Microchemical Journal 2011, 98:254-259
[101]Blanco M, Cueva-Mestanza R, Peguero A. Controlling individual steps in the production process of paracetamol tablets by use of NIR spectroscopy. J Pharm Biomed Anal,2010, 51:797-804
[102]Alcala M, Blanco M, Bautista M, et al. On-Line monitoring of a granulation process by NIR spectroscopy. J Pharm Sci,2010,99:336-345
[103]Mantanus J, Ziemons E, Lebrun P, et al. Active content determination of non-coated pharmaceutical pellets by near infrared spectroscopy:method development, validation and reliability evaluation. Talanta,2010,80:1750-1757
[104]Grohganz H, Fonteyne M, Skibsted E, et al. Classification of lyophilised mixtures using multivariate analysis of NIR spectra. Eur J Pharm Biopharm,2010,74:406-412
[105]Shi Z Q, Anderson C A. Scattering orthogonalization of near-infrared spectra for analysis of pharmaceutical tablets. Anal Chem,2009,81:1389-1396
[106]Rosas J G, Blanco M, Gonzalez J M, et al.Quality by design approach of a pharmaceutical gel manufacturing process, part 2:near infrared monitoring of composition and physical parameters. J Pharm Sci,2011,100:4442-4451
[107]Pieters S, De Beer T, Kasper J C, et al. Near-infrared spectroscopy for in-line monitoring of protein unfolding and its interactions with lyoprotectants during freeze-drying. Anal Chem.2012,84:947-955
[108]Grohganz H, Gildemyn D, Skibsted E, et al. Rapid solid-state analysis of freeze-dried protein formulations using NIR and Raman spectroscopies. J Pharm Sci,2011,100: 2871-2875
[109]Hu Y, Macfhionnghaile P, Caron V, et al. Formation, physical stability, and quantification of process-induced disorder in cryomilled samples of a model polymorphic drug. J Pharm Sci,2013,102:93-103
[110]Koradia V, de Lemos A F F, Alleso M, et al. Phase transformations of amlodipine besylate solid forms. J Pharm Sci,2011,100:2896-2910
[111]Lopes M B, Wolff J C, Bioucas-Dias J M, et al. Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets. Anal Chem,2010,82:1462-1469
[112]Uwadaira Y, Adachi N, Dcehata A, et al. Factors affecting the accuracy of non-invasive blood glucose measurement by short-wavelength near infrared spectroscopy in the determination of the glycaemic index of foods. J Near Infrared Spectrosc,2010,18: 291-300
[113]Hirsch J C, Charpie J R, Ohye R G, et al. Near-infrared spectroscopy:what we know and what we need to know-a systematic review of the congenital heart disease literature. J Thorac Cardiovasc Surg,2009,137:154-159
[114]Pellicer A, Bravo M D. Near-infrared spectroscopy:a methodology-focused review. Semin Fetal Neonatal Med,2011,16:42-49
[115]Kim S B, Temiyasathit C, Bensalah K, et al. An effective classification procedure for diagnosis of prostate cancer in near infrared spectra. Expert Syst Appl,2010,37: 3863-3869
[116]Qi N, Zhang Z, Xiang Y, et al. Locally linear embedding method for dimensionality reduction of tissue sections of endometrial carcinoma by near infrared spectroscopy. Anal ChimActa,2012,724:12-19
[117]Sakudo A, Suganuma Y, Sakima R, et al. Diagnosis of HIV-1 infection by near-infrared spectroscopy:analysis using molecular clones of various HIV-1 subtypes. Clin Chim Acta, 2012,413:467-472
[118]Vermeij A, Van Beek A H E A, Olde Rikkert M G M, et al. Effects of aging on cerebral oxygenation during working-memory performance:a functional near-infrared spectroscopy study. Plos one,2012,7:46210
[119]Nasi T, Maki H, Kotilahti K, et al. Magnetic-stimulation-related physiological artifacts in hemodynamic near-infrared spectroscopy signals. Plos one,2011,4:24002
[120]Moros J, de Vallejuelo S F O, Gredilla A, et al. Use of reflectance infrared spectroscopy for monitoring the metal content of the estuarine sediments of the nerbioi-ibaizabal river (Metropolitan Bilbao, Bay of Biscay, Basque Country). Environ Sci Technol,2009,43: 9314-9320
[121]Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. TrAC Trends Anal Chem,2010,29: 1073-1081
[122]Chakraborty S, Weindorf D C, Zhu Y, et al. Assessing spatial variability of soil petroleum contamination using visible near-infrared diffuse reflectance spectroscopy. J Environ Monit,2012,14:2886-2892
[123]Shen J C, Shao X G. Determination of tobacco alkaloids by GC-MS using cloud point extraction as a preconcentration step. Anal Chim Acta,2006,561:83-87
[124]Majedi S M, Lee H K, Kelly B C. Chemometric analytical approach for the cloud point extraction and inductively coupled plasma mass spectrometric determination of zinc oxide nanoparticles in water samples. Anal Chem,2012,84:6546-6552
[125]Rezaee M, SsadiY. Determination of organic compounds in water using dispersive liquid-liquid miero extraction. J Chromatogr A,2006,1116:1-9
[126]Wang P, Yang X, Wang J, et al. Multi-residue method for determination of seven neonicotinoid insecticides in grains using dispersive solid-phase extraction and dispersive liquid-liquid micro-extraction by high performance liquid chromatography. Food Chem, 2012,134:1691-1698
[127]Shi Z G, Lee H K. Dispersive Liquid-Liquid Microextraction Coupled with Dispersive u-Solid-Phase Extraction for the Fast Determination of Polycyclic Aromatic Hydrocarbons in Environmental Water Samples. Anal Chem,2010,82:1540-1545
[128]St Onge L M, Dolar E, Anglim M A. Improved determination of phenobarbital, primidone, and phenytoin by use of a preparative instrument for extraction, followed by gas chromatography. Clin Chem,1979,25:1373-1376
[129]Gode D, Martin M M, Steiner F, et al. Rapid narrow band elution for on-line SPE using a novel solvent plug injection technique. Anal Bioanal Chem,2012,404:433-445
[130]Enevoldsen R, Juhler R K. Perfluorinated compounds (PFCs) in groundwater and aqueous soil extracts:using inline SPE-LC-MS/MS for screening and sorption characterization of perfluorooctane sulphonate and related compounds. Anal Bioanal Chem,2010,398: 1161-1172
[131]Bojko B, Cudjoe E, Gomez-Rios G A, et al. SPME-Quo vadis? Anal Chim Acta,2012,750: 132-151
[132]Hafez A M, Wenclawiak B W. Development of a new porous gold SPME fiber for selective and efficient extraction of dodecanethiol followed by GC-MS analysis. Anal Bioanal Chem, 2013,405:1753-1758
[133]Ho T D, Canestraro A J, Anderson J L. Ionic liquids in solid-phase microextraction:a review. Anal Chim Acta,2010,695:132-151
[134]Lehotaya S J, Son K A, Kwon H, et al. Comparison of QuEChERS sample preparation methods for the analysis of pesticide residues in fruits and vegetables. J Chromatogr A, 2010,1217:2548-2560
[135]Stubbings G, Bigwood T. The development and validation of a multiclass liquid chromatography tandem mass spectrometry (LC-MS/MS) procedure for the determination of veterinary drug residues in animal tissue using a QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe) approach. Anal Chim Acta,2009,637:68-78
[136]Jeong I S, Kwak B M, Ahn J H.Determination of pesticide residues in milk using a QuEChERS-based method developed by response surface methodology. Food Chem,2012, 133:173-181
[137]Fang G Z, Tan J, Yan X P. An ion-imprinted functionalized silica gel sorbent prepared by a surface imprinting technique combined with a sol-gel process for selective solid-phase extraction of Cadmium(II). Anal Chem,2005,77:1734-1739
[138]Shi Y, Peng D D, Shi C H, et al. Selective determination of trace 17 beta-estradiol in dairy and meat samples by molecularly imprinted solid-phase extraction and HPLC. Food Chem, 2011,126:1916-1925
[139]Ambrosini S, Shinde S, De Lorenzi E, et al. Glucuronide directed molecularly imprinted solid-phase extraction:isolation of testosterone glucuronide from its parent drug in urine. Analyst,2012,137:249-254
[140]Sattler M L, Rosenberk R S. Removal of carbonyl sulfide using activated carbon adsorption. J Air Waste Manage Assoc,2006,56:219-224
[141]Collins P G, Bradley K, Ishigami M, et al. Extreme oxygen sensitivity of electronic properties of carbon nanotubes. Science,2000,287:1801-1804
[142]曲荣君.金属离子吸附材料：制备.结构.性能.北京：化学工业出版社,2009.32-38
[143]Klika Z, Kraus L, Vopalka D. Cesium uptake from aqueous solutions by bentonite:a comparison of multicomponent sorption with ion-exchange models. Langmuir,2007,23: 1227-1233
[144]Slavica L, Ivona J, Dusan J. Adsorption of Pb2+, Cd2+and Sr2* ions onto natural and acid-activated sepiolites. Appl Clay Sci,2007,37:47-57
[145]Chao Y F, Lee J J, Wang S L. Preferential adsorption of 2,4-dichlorophenoxyacetate from associated binary-solute aqueous systems by Mg/Al-NO3 layered double hydroxides with different nitrate orientations. J Hazard Mater,2009,165:846-852
[146]Wang H, Xiang X, Li F. Facile synthesis and novel electrocatalytic performance of nanostructured Ni-Al layered double hydroxide/carbon nanotube composites, J Mater Chem,2010,20:3944-3952
[147]Chen X, Wang Q. Shen J M, et al. Adsorption of leucine-rich Amelogenin protein on hydroxyapatite (001) surface through-COO-claws. J Phys Chem C,2007,111:1284-1290
[148]Braschi I, Blasioli S, Gigli L. Removal of sulfonamide antibiotics from water:Evidence of adsorption into an organophilic zeolite Y by its structural modifications. J Hazard Mater, 2010,178:218-225
[157]Puanngam M, Unob F. Preparation and use of chemically modified MCM-41 and silica gel as selective adsorbents for Hg(II) ions. J Hazard Mater,2008,154:578-587
[149]Lu X, Yin Q F, Xin Z. Powerful adsorption of silver(I) onto thiol-functionalized polysilsesquioxane microspheres. Chem Eng Sci,2010,65:6471-6477
[150]Singh B. Treatment of spent catalyst from the nitrogenous fertilizer industry-a review of the available methods of regeneration, reeovery and disposal. J Hazard Mater,2009,167: 24-37
[151]Dos Santos M, Rahim A, Fattori N, et al. Novel amperometric sensor based on mesoporous silica chemically modified with ensal copper complexes for selective and sensitive dopamine determination. Sensor Actuator B-Chem,2012,171:712-718
[152]Kresge C T, Leonowicz M E, Roth W J, et al. Ordered mesoporous molecular sieves synthesized by a liquid-crystal template mechanism. Nature,1992,359:710-712.
[153]Chen S Y, Huang C Y, Yokoi T, et al. Synthesis and catalytic activity of amino-functionalized SBA-15 materials with controllable channel lengths and amino loadings, J Mater Chem,2012,22:2233-2243
[154]Kumar U, Bandyopadhyay M. Sorption of cadmium from aqueous solution using pretreated rice husk. Bioresour Technol,2006,97:104-109
[155]Guo X, Zhang S, Shan X. Adsorption of metal ions on lignin. J Hazard Mater,2008,151: 134-142
[156]Zhang X L, Niu H Y, Cai Y Q, et al. Chitosan-coated octadecyl-functionalized magnetite nanoparticles:preparation and application in extraction of trace pollutants from environmental water samples. Anal Chem,2010,82:2363-2371
[157]Popat A, S B Hartono, Stahr F, et al. Mesoporous silica nanoparticles for bioadsorption, enzyme immobilisation, and delivery carriers. Nanoscale,2011,3:2801-2818
[1]Islam A, Laskar M A, Ahmad A. Characterization of a novel chelating resin of enhanced hydrophilicity and its analytical utility for preconcetration of trace metal ions. Talanta, 2010,81:1772-1780
[2]Kara D, Fisher A, Hill S J. Determination of trace heavy metals in soil and sediments by atomic spectrometry following preconcentration with Schiff bases on Amberlite XAD-4. J Hazard Mater,2009,165:1165-1169
[3]Li Z H, Chang X J, Zou X J, et al. Chemically-modified activated carbon with ethylenediamine for selective solid-phase extraction and preconcentration of metal ions. Anal Chim Acta,2009,632:272-277
[4]Lagadic IL, Mitchell M K, Payne B D. Highly effective adsorption of heavy metal ions by a thiol-functionalized magnesium phyllosilicate clay. Environ Sci Technol,2001,35: 984-990
[5]Chai L Y, Li Q Z, Zhu Y H, et al. Synthesis of thiol-functionalized spent grain as a novel adsorbent for divalent metal ions. Bioresour Technol,2010,101:6269-6272
[6]Mercier L, Pinnavaia T J. A functionalized porous clay heterostructure for heavy metal ion (Hg2+) trapping. Micropor Mesopor Mater,1998,20:101-106
[7]Lu X, Yin Q F, Xin Z. Powerful adsorption of silver(I) onto thiol-functionalized polysilsesquioxane microspheres. Chem Eng Sci,2010,65:6471-6477
[8]Miller C R, Vogel R, Trau M. Functionalized organosilica microspheres via a novel emulsion-based route, Langmuir,2005,21:9733-9740
[9]Pyrzynska K. Carbon nanostructures for separation, preconcentration and speciation of metal ions. TrAC Trends Anal Chem,2010,29:718-727
[10]Moros J, Garrigues S, de la Guardia M. Vibrational spectroscopy provides a green tool for multi-component analysis. TrAC-Trends Anal Chem,2010,29:578-591
[11]Blanco M, Villarroya I, NIR spectroscopy:a rapid-response analytical tool. TrAC-Trends Anal Chem,2002,21:240-250
[12]Xia X Q, Mao Y Q, Ji J, et al. Reflectance spectroscopy study of Cd contamination in the sediments of the Changjiang River, China. Environ Sci Technol,2007,41:3449-3454
[13]Kooistra L; Wehrens R, Leuven R S E W, et al. Possibilities of visible-near-infrared spectroscopy for the assessment of soil contamination in river floodplains. Anal Chim Acta,2001,446:97-105
[14]Chen G P, Mei Y, Du Y P, et al. Micro near infrared spectroscopy (MicroNIRS) based on on-line enrichment:determination of trace copper in water using glycidyl methacrylate-based monolithic material. Anal Chim Acta,2010,670:39-43
[15]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[16]Huang Z X, Tao W, Du Y P, et al. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Chemom Intell Lab Syst,2009,98:195-200
[17]Li J H, Cai W S, Shao X G, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay.Talanta,2011,84:679-683
[18]Ning Y, Li J H, Shao X G, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[19]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[1]Blanco M, Villarroya I, NIR spectroscopy:a rapid-response analytical tool. Trac Trends Anal Chem,2002,21:240-250
[2]Moros J, Garrigues S, de la Guardia M. Vibrational spectroscopy provides a green tool for multi-component analysis. TrAC-Trends Anal Chem,2010,29:578-591
[3]刘建学.实用近红外光谱分析技术.北京：科学出版社,2008：26
[4]Rutan S C, de Noord O E, Andrea R R, Characterization of the sources of variation affecting Near-Infrared Spectroscopy Using Chemometric Methods. Anal Chem.1998,70: 3198-3201
[5]Eddy C V, Flanigan M, Arnold M A, et al. Near-infrared spectroscopic measurement of urea in dialysate samples collected during hemodialysis treatments. Appl Spectrosc,2003, 57:1230-1235
[6]Chen J, Arnold M A, Small G W, et al. Comparison of combination and first overtone spectral regions for near-infrared calibration models for glucose and other biomolecules in aqueous solutions. Anal Chem,2004,76:5405-5413
[7]Arnold M A, Small G W, Xiang D, et al. Pure component selectivity analysis of multivariate calibration models from near-infrared spectra solutions. Anal Chem,2004,76: 2583-2590
[8]Mittermayr C R, Tan H W, Brown S D, et al. Robust calibration with respect to background variation. Appl Spectrosc,2001,55:827-833
[7]Lima K M G, Jr Raimundo I M, Pimentel M F, et al. Improving the detection limits of near infrared spectroscopy in the determination of aromatic hydrocarbons in water employing a silicone sensing phase. Sensor Actuator B-Chem,2007,125:229-233
[8]Albuquerque J S, Pimentel M F, Silva V L, et al. Silicone sensing phase for detection of aromatic hydrocarbons in water employing near-infrared spectroscopy. Anal Chem,2005, 77:72-77
[9]Du Y P, Wei X M, Xie H P, et al. An enrichment device of silica-based monolithic material and its application to determine micro carbaryl by NIR. Chin Chem Lett,2009,20: 469-472
[10]Huang Z X, Tao W, Du Y. P, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water. Chemom Intell Lab Syst,2009,98:195-200
[11]Chen G P, Mei Y, Du Y P, et al. Micro near infrared spectroscopy (MicroNIRS) based on on-line enrichment:determination of trace copper in water using glycidyl methacrylate-based monolithic material. Anal Chim Acta,2010,670:39-43
[12]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[13]Li J H, Zhang Y, Cai W S, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay. Talanta,2011,84:679-683
[14]Ning Y, Li J H, Cai W S, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[15]Zhang Y, Hao Y, Cai W S, et al. Simultaneous determination of phenol and p-nitrophenol in wastewater using near-infrared diffuse reflectance spectroscopy with adsorption preconcentration. Anal Method,2011,3:703-708
[16]Yang Y F, Cai W S, Shao X G, et al. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy. Talanta, 2012,99,871-874
[17]Hao Y, Cai W S, Shao X G. A strategy for enhancing the quantitative determination ability of the diffuse reflectance near-infrared spectroscopy. Spectrochim Acta A,2009,72: 115-119
[18]Kok-Hui G, Teik-Thye L, Dong Z L. Application of layered double hydroxides for removal of oxyanions:a review. Water Res,2008,42:1343-1368
[19]Corami A, Mignardi S, Ferrini V, Cadmium removal from single-and multi-metal (Cd2+, Pb2+, Zn2+, Cu2+) solutions by sorption on hydroxyapatite. J Colloid Interface Sci.2008, 317:402-408
[20]Legrouri A, Lakraimi M, Barroug A, et al. Removal of the herbicide 2, 4-dichIorophenoxyacetate from water to zinc-aluminium-chloride layered double hydroxides. Water Res,2005,39:3441-3448
[21]Mavropoulos E, Rossi A M, Costra A. Studies on the mechanisms of lead immobilization by hydroxyapatite. Environ Sci Technol,2002,36:1625-1629
[22]Valente J S, Tzompantzi F, Gomez R. Adsorption and photocatalytic degradation of phenol and 2,4-dichlorophenoxiacetic acid by Mg-Zn-Al layered double hydroxides. Appl Catal B,2009,90:330-338
[23]Wang H, Xiang X, Li F. Facile synthesis and novel electrocatalytic performance of nanostructured Ni-Al layered double hydroxide/carbon nanotube composites, J Mater Chem,2010,20,3944-3952
[24]Shao X G, Leung A K M, Chau F T. Wavelets:a new trend in chemistry. Ace Chem Res, 2003,36:276-283.
[25]Chen D, Shao X G, Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[26]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[27]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:an application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[28]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[29]Fearn T, Riccioli C, Garrido-Varo A, et al. On the geometry of SNV and MSC. Chemom Intell Lab Syst,2009,96:22-26
[30]Cai W S, Li Y K, Shao X G. A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra. Chemom Intell Lab Syst, 2008,90:188-194.
[31]Xu H, Liu Z C, Cai W S, et al. A wavelength selection method based on randomization test for near-infrared spectral analysis. Chemom Intell Lab Syst,2009,97:189-193
[32]Li H D, Liang Y Z, Xu Q S, et al. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. Anal Chim Acta,2009, 648:77-84
[33]Centner V, Massart D L, de Noord O E, et al. Elimination of uninformative variables for multivariate calibration. Anal Chem,1996,68:3851-3858
[34]Chao Y F, Lee J J, Wang S L. Preferential adsorption of 2,4-dichlorophenoxyacetate from associated binary-solute aqueous systems by Mg/Al-NO3 layered double hydroxides with different nitrate orientations. J Hazard Mater,2009,165:846-852
[35]Wold S, Sjostrom M, Eriksson L. PLS-regression:a basic tool of chemometrics. Chemom Intell Lab Syst,2001,58:109-130
[36]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[37]Haaland D M, Thomas E V. Partial least squares methods for spectral analysis 1:relation to other multivariate calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[1]Chen X T, Xiang Y, Tong A J. Facile, sensitive and selective fluorescence turn-on detection of HSA/BSA in aqueous solution utilizing 2,4-dihydroxyl-3-iodo salicylaldehyde azine. Talanta,2010,80:1952-1958
[2]Deng Y H, Zhang Z X, Zhang H S, et al. Development of an N-hydroxysuccinimidyl fluorescein-O-acetate-labeled probe for competitive capillary electrophoretic immunoassay of bovine serum albumin. Talanta,2010,81:1806-1809
[3]Liu X Y, Wu X, Yang J H. Protein determination using methylene blue in a synchronous fluorescence technique. Talanta,2010,81:760-765
[4]Wang Y, Li J H. A carbon nanotubes assisted strategy for insulin detection and insulin proteolysis assay. Anal Chim Acta,2009,650:49-53
[5]Tanaka T, Izawa K, Okochi M, et al. On-chip type cation-exchange chromatography with ferrocene-labeled anti-hemoglobin antibody and electrochemical detector for determination of hemoglobin A,c level. Anal Chim Acta,2009:638:186-190
[6]Sexton L T, Mukaibo H, Katira P, et al. An adsorption-based model for pulse duration in resistive-pulse protein sensing. J Am Chem Soc,2010,132:6755-6763
[7]Terenghi M, Elviri L, Careri M, et al. Multiplexed determination of protein biomarkers using metal-tagged antibodies and size exclusion chromatography-inductively coupled plasma mass spectrometry. Anal Chem,2009,81:9440-9448
[8]Chiang C K, Yang Z, Lin Y W, et al. Detection of proteins and protein-ligand complexes using HgTe nanostructure matrixes in surface-assisted laser desorption/ionization mass spectrometry. Anal Chem,2010,82:4543-4550
[9]Wang G, Johnson A J, Kaltashov I A, et al. Evaluation of electrospray ionization mass spectrometry as a tool for characterization of small soluble protein aggregates. Anal Chem, 2012,84:1718-1724
[10]Freeman R, Finder T, Gill R. Probing protein kinase (CK2) and alkaline phosphatase with CdSe/ZnS quantum dots. Nano Lett,2010,10:2192-2196
[11]Wu P, Miao L N, Wang H F, et al. A multidimensional sensing device for the discrimination of proteins based on manganese-doped ZnS quantum dots. Angew Chem Int Ed,2011,50:8118-8121
[12]Ma W, Zhang Y, Li L, et al. Ti4+-Immobilized magnetic composite microspheres for highly selective enrichment of phosphopeptides. Adv Funct Mater,2013,23:107-115
[13]Zhang X, He X, Chen L, et al. Boronic acid modified magnetic nanoparticles for enrichment of glycoproteins via azide and alkyne click chemistry. J Mater Chem,2012,22: 16520-16526
[14]Lin Z, Xia Z, Zheng J, et al. Synthesis of uniformly sized molecularly imprinted polymer-coated silica nanoparticles for selective recognition and enrichment of lysozyme. J Mater Chem,2012,22:17914-17922
[15]Najam-ul-Haqa M, Jabeen F, Hussain D, et al. Versatile nanocomposites in phosphoproteomics:a review. Anal Chim Acta,2012,747:7-18
[16]Lu J, Qi D, Deng C, et al. Hydrothermal synthesis of α-Fe2O3@SnO2 core-shell nanotubes for highly selective enrichment of phosphopeptides for mass spectrometry analysis. Nanoscale,2010,2:1892-1900
[17]Wu H C, Wang T W, Sun J S, et al. A novel biomagnetic nanoparticle based on hydroxyapatite. Nanotech,2007,18:165601
[18]Hou C H, Hou S M, Hsueh Y S, et al. The in vivo performance of biomagnetic hydroxyapatite nanoparticles in cancer hyperthermia therapy. Biomaterials,2009,30: 3956-3960
[19]Wu H C, Wang T W, Bohn M C, et al. Novel magnetic hydroxyapatite nanoparticles as non-Viral vectors for the glial cell line-derived neurotrophic factor gene. Adv Funct Mater, 2010,20:67-77
[21]Alishahi A, Farahmand H, Cozzolino D, et al. Identification of transgenic foods using NIR spectroscopy:a review. Spectrochim Acta A,2010,75:1-7
[22]Jinendra B, Tamaki K, Kuroki S, et al. Near infrared spectroscopy and aquaphotomics: Novel approach for rapid in vivo diagnosis of virus infected soybean. Biochem Bioph Res Co,2010,397:685-690
[23]Mantanus J, Ziemons E, Lebrun P, et al. Moisture content determination of pharmaceutical pellets by near infrared spectroscopy:method development and validation. Anal Chim Acta,2009,642:186-192
[24]Kauppinen A, Toiviainen M, Korhonen O, et al. In-line multipoint near-infrared spectroscopy for moisture content quantification during freeze-drying. Anal Chem,2013, 85:2377-2384
[25]Reboucas M V, Brandao D S, Trindade A, et al. Chemical composition determination of complex organic-aqueous mixtures of alcohols, acetone, acetonitrile, hydrocarbons and water by near-infrared spectroscopy. Vib Spectrosc,2011,55:172-182
[26]Balabin R M, Lomakina E I, Safieva R Z, et al. Neural network (ANN) approach to biodiesel analysis:analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel,2011,90:2007-2015
[27]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[28]Chen D, Shao X G, Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[29]Xie S F, Xiang B R, Yu L Y, et al. Tailoring noise frequency spectrum to improve NIR determinations. Talanta,2009,80:895-902
[30]Rinnan A, van den Berg F, Balling S. Engelsen Review of the most common pre-processing techniques for near-infrared spectra. Trac-Trend Anal Chem,2009,28: 1201-1218
[31]刘建学.实用近红外光谱分析技术.北京：科学出版社,2008：26
[32]Huang Z X, Tao W, Du Y P, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water. Chemom Intell Lab Syst,2009,98:195-200
[33]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[34]Li J H, Zhang Y, Cai W S, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay. Talanta,2011,84:679-683
[35]Ning Y, Li J H, Cai W S, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[36]Zhang Y, Hao Y, Cai W S, et al. Simultaneous determination of phenol and p-nitrophenol in wastewater using near-infrared diffuse reflectance spectroscopy with adsorption preconcentration. Anal Method,2011,3:703-708
[37]Du Y P, Wei X M, Xie H P, et al. An enrichment device of silica-based monolithic material and its application to determine micro carbaryl by NIR. Chin Chem Lett,2009,20: 469-472
[38]Albuquerque J S, Pimentel M F, Silva V L, et al. Silicone sensing phase for detection of aromatic hydrocarbons in water employing near-infrared spectroscopy. Anal Chem,2005, 77:72-77
[39]Yang Y F, Cai W S, Shao X G, et al. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy. Talanta, 2012,99,871-874
[40]Feng Y, Gong J L, Zeng G M, et al. Adsorption of Cd (Ⅱ) and Zn (Ⅱ) from aqueous solutions using magnetic hydroxyapatite nanoparticles as adsorbents. Chem Eng J,2010, 162:487-494
[41]Wold S, Sjostrom M, Eriksson L. PLS-regression:a basic tool of chemometrics. Chemom Intell Lab Syst,2001,58:109-130
[42]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[43]Haaland D M, Thomas E V. Partial least squares methods for spectral analysis 1:relation to other multivariate calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[44]Geladi P, MacDougall D, Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc,1985,39:491-500
[45]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[46]Liese H. An infrared absorption analysis of magnetite. Am Miner,1967,52:1198-4205
[1]Meister A. Glutathione metabolism and its selective modification, J Biol Chem,1988,263: 17205-17208
[2]Schulz J B, Lindenau J, Seyfried J, et al. Glutathione, oxidative stress and neurodegeneration. Eur J Biochem,2000,267:4904-4911
[3]Hwang C, Sinskey A J, Lodish H F. Oxidized redox state of glutathione in the endoplasmic reticulum. Science,1992,257:1496-1502
[4]Lu S C. Regulation of glutathione synthesis. Mol Aspects Med,2009,30:42-59
[5]Townsend D M, Tew K D, Tapiero H. The antioxidant role of selenium and seleno-compounds. Biomed Pharmacother,2003,57:134-144
[6]Herzenberg L A, De Rosa S C, Dubs J G, et al. Glutathione deficiency is associated with impaired survival in HIV disease. ProcNatl Acad Sci,1997,94:1967-1972
[7]Cecchi C, Latorraca S, Sorbi S, et al. Gluthatione level is altered in lymphoblasts from patients with familial Alzheimer's disease. Neurosci Lett,1999,275:152-154
[8]Altomare E, Vendemiale G, Albano O. Hepatic glutathione content in patients with alcoholic and non alcoholic liver diseases. Life Sci,1988,43:991-998
[9]Zhang Y, Li Y, Yan X P. Photoactivated CdTe/CdSe quantum dots as a near infrared fluorescent probe for detecting biothiols in biological fluids. Anal Chem,2009,81: 5001-5007
[10]Liu J, Bao C, Zhong X, et al. Highly selective detection of glutathione using a quantum-dot-based OFF-ON fluorescent probe. Chem Commun,2010,46:2971-2973
[11]Chen X, Zhou Y, Peng X. Fluorescent and colorimetric probes for detection of thiols. Chem Soc Rev,2010,39:2120-2135
[12]Raoof J B, Ojani R, Baghayeri M. Simultaneous electrochemical determination of glutathione and tryptophan on a nano-TiO2ferrocene carboxylic acid modified carbon paste electrode. Sensor Actuat B-Chem,2009,143:261-269
[13]Ferin R, Pavao L M, Baptista J. Methodology for a rapid and simultaneous determination of total cysteine, homocysteine, cysteinylglycine and glutathione in plasma by isocratic RP-HPLC. J Chromatogr B,2012,911:15-20
[14]Niu L Y, Guan Y S, Chen Y Z. BODIPY-Based ratiometric fluorescent sensor for highly selective detection of glutathione over cysteine and homocysteine. J Am Chem Soc,2012, 134:18928-18931
[15]Lee M H, Han J H, Kwon P S, et al. Hepatocyte-targeting single galactose-appended naphthalimide:a tool for intracellular thiol imaging in vivo. J Am Chem Soc,2012,134: 1316-1322
[16]Lim C S, Masanta G, Kim H J, et al. Ratiometric detection of mitochondrial thiols with a two-photon fluorescent probe. J Am Chem Soc,2011,133:11132-11135
[17]Sun Y Q, Chen M, Liu J, et al. Nitroolefin-based coumarin as a colorimetric and fluorescent dual probe for biothiols. Chem Commun,2011,47:11029-11031
[18]Yi L, Li H, Sun L, et al. A highly sensitive fluorescence probe for fast thiol-quantification assay of glutathione reductase. Angew Chem Int Ed,2009,48:4034-4037
[19]Cheng S H, Lee C H, Chen M C, et al. Tri-functionalization of mesoporous silica nanoparticles for comprehensive cancer theranostics-the trio of imaging, targeting and therapy. J Mater Chem,2010,20:6149-6157
[20]Dos Santos M, Rahim A, Fattori N, et al. Novel amperometric sensor based on mesoporous silica chemically modified with ensal copper complexes for selective and sensitive dopamine determination. Sensor Actuat B-Chem,2012,171:712-718
[21]Slowing I I, Vivero-Escoto J L, Trewyn B G, et al. Mesoporous silica nanoparticles: structural design and applications. J Mater Chem,2010,20:7924-7937
[22]Lu Y, Lu G, Wang Y, et al. Functionalization of cubic Ia3d mesoporous silica for immobilization of penicillin G acylase. Adv Funct Mater,2007,17:2160-2166
[23]Salis A, Meloni D, Ligas S, et al. Physical and chemical adsorption of Mucor javanicus lipase on SBA-15 mesoporous silica. Langmuir,2005,21:5511-5516
[24]Lee C H, Lin T S, Mou C Y. Mesoporous materials for encapsulating enzymes. Nano Today,2009,4:165-179
[25]Popat A, Hartono S B, Stahr F, et al. Mesoporous silica nanoparticles for bioadsorption, enzyme immobilisation, and delivery carriers. Nanoscale,2011,3:2801-2818
[26]Alishahi A, Farahmand H, Cozzolino D, et al. Identification of transgenic foods using N1R spectroscopy:a review. Spectrochim Acta A,2010,75:1-7
[27]Jinendra B, Tamaki K, Kuroki S, et al. Near infrared spectroscopy and aquaphotomics: novel approach for rapid in vivo diagnosis of virus infected soybean. Biochem Bioph Res Co,2010,397:685-690
[28]Mantanus J, Ziemons E, Lebrun P, et al. Moisture content determination of pharmaceutical pellets by near infrared spectroscopy:method development and validation. Anal Chim Acta,2009,642:186-192
[29]Kauppinen A, Toiviainen M, Korhonen O, et al. In-line multipoint near-infrared spectroscopy for moisture content quantification during freeze-drying. Anal Chem,2013, 85:2377-2384
[30]Balabin-R M, Lomakina E 1, Safieva R Z, et al. Neural network (ANN) approach to biodiesel analysis:analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel,2011,90:2007-2015
[31]Sakudo A, Suganuma Y, Sakima R, et al. Diagnosis of HIV-1 infection by near-infrared spectroscopy:Analysis using molecular clones of various HIV-1 subtypes. Clin Chim Acta,2012,413:467-472
[32]Burggraeve A, Silva A F T, VanDen Kerkhof T, et al. Development of a fluid bed granulation process control strategy based on real-time process and product measurements. Talanta,2012,100:293-302
[33]Qia N, Zhang Z, Xiang Y, et al. Locally linear embedding method for dimensionality reduction of tissue sections of endometrial carcinoma by near infrared spectroscopy. Anal Chim Acta,2012,724:12-19
[34]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[35]Chen D, Shao X G, Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[36]Xie S F, Xiang B R, Yu L Y, et al. Tailoring noise frequency spectrum to improve NIR determinations. Talanta,2009,80:895-902
[37]Rinnan A, van den Berg F, Engelsen B S. Review of the most common pre-processing techniques for near-infrared spectra. Trac-Trend Anal Chem,2009,28:1201-1218
[38]Huang Z X, Tao W, Du Y P, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water. Chemom Intell Lab Syst,2009,98:195-200
[39]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[40]Li J H, Zhang Y, Cai W S, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay. Talanta,2011,84:679-683
[41]Ning Y, Li J H, Cai W S, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[42]Zhang Y, Hao Y, Cai W S, et al. Simultaneous determination of phenol and p-nitrophenol in wastewater using near-infrared diffuse reflectance spectroscopy with adsorption preconcentration. Anal Method,2011,3:703-708
[43]Du Y P, Wei X M, Xie H P, et al. An enrichment device of silica-based monolithic material and its application to determine micro carbaryl by NIR. Chin Chem Lett,2009,20: 469-472
[44]Albuquerque J S, Pimentel M F, Silva V L, et al. Silicone sensing phase for detection of aromatic hydrocarbons in water employing near-infrared spectroscopy. Anal Chem,2005, 77:72-77
[45]Yang Y F, Cai W S, Shao X G, et al. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy. Talanta, 2012,99:871-874
[46]Gao G, Lange D, Hilpert K, et al. The biocompatibility and biofilm resistance of implant coatings based on hydrophilic polymer brushes conjugated with antimicrobial peptides. Biomaterials,2011,32:3899-3909
[47]Hiyoshi N, Yogo K, Yashima T. Adsorption characteristics of carbon dioxide on organically functionalized SBA-15. Micropor Mesopop Mat,2005,84:357-365
[48]Wold S, Sjostrom M, Eriksson L. PLS-regression:a basic tool of chemometrics. Chemom Intell Lab Syst,2001,58:109-130
[49]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[50]Haaland D M, Thomas E V. Partial least squares methods for spectral analysis 1:relation to other multivariate calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[51]Geladi P, MacDougall D, Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc,1985,39:491-500
[52]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[53]Koehler P. Concentrations of low and high molecular weight thiols in wheat dough as affected by different concentrations of ascorbic acid. J Agric Food Chem,2003,51: 4948-4953
[1]严衍禄,陈斌,朱大洲等.近红外光谱分析的原理,技术与应用.北京：中国轻工业出版社,2013：178-272
[2]陆婉珍.现代近红外光谱分析技术.北京：中国石化出版社,2007：21-31
[3]吴瑾光.近代傅里叶变换红外光谱分析技术及应用.北京：科学技术文献出版社,1994
[4]Chen J, Arnold M A, Small G W, Comparison of combination and first overtone spectral regions for near-infrared calibration models for glucose and other biomolecules in aqueous solutions. Anal Chem.2004,76:5405-5413
[5]Berntsson O, Danielsson L G, Folestad S. Estimation of effective sample size when analysing powders with diffuse reflectance near-infrared spectrometry. Anal Chim Acta, 1998,364:243-251
[6]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:An application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[7]Brimmer P J, Griffiths P R. Effect of absorbing matrices on diffuse reflectance infrared spectra. Anal Chem,1986,58:2179-2184
[8]Sirita J, Phanichphant S, Meunier F C. Quantitative analysis of adsorbate concentrations by diffuse reflectance FT-IR. Anal Chem,2007,79:3912-3918
[9]Kubelka P. New contributions to the optics of intensely light-scattering materials. Part I. J Optical Soc Am,1948,38:448-457
[10]Kubelka P, Munk F. An article on optics of paint layers. J Z tech Physik,1931,12: 593-601
[11]梁逸曾,俞汝勤.化学计量学.北京：高等教育出版社,2003
[12]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[13]Archibald D D, Akin D E. Use of spectral window preprocessing for selecting near-infrared reflectance wavelengths for determination of the degree of enzymatic retting of intact flax stems. Vib Spectrosc,2000,23:169-180
[14]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[15]Cappadona S, Levander F, Jansson M, et al. Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry. Anal Chem,2008,80:4960-4968
[16]Eilers P H C. A perfect smoother. Anal Chem,2003,76:3631-3636
[17]Eilers P H C. Parametric time warping. Anal Chem,2004,76:404-411
[18]Jirasek A, Schulze G, Yu M M L, et al. Accuracy and precision of manual baseline determination. Appl Spectrosc,2004,58:1488-1499
[19]Yeow Y L, Leon Y K. A general computational method for converting normal spectra into derivative spectra. Appl Spectrosc,2005,59:584-592
[20]Ma C X, Shao X G Continuous wavelet transform applied to removing the fluctuating background in near-infrared spectra. J Chem Inf Comput Sci,2004,44:907-911
[21]Geladi P, MacDougall D, Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc,1985,39:491-500
[22]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:An application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[23]Feudale R N, Woody N A, Tan H, et al. Transfer of multivariate calibration models:a review. Chemometr Intell Lab Syst,1995,29:233-241
[24]Martens H, Pram Nielsen J, Balling Engelsen S. Light scattering and light absorbance separated by extended multiplicative signal correction, application to near-infrared transmission analysis of powder mixtures. Anal Chem,2003,75:394-404
[25]Gallagher N B, Blake T A, Gassman P L. Application of extended inverse scatter correction to mid-infrared reflectance spectra of soil. J Chemometr,2005,19:271-281
[26]Windig W, Shaver J, Bro R. Loopy MSC:A simple way to improve multiplicative scatter correction. Appl Spectrosc,2008,62:1153-1159
[27]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[28]Fearn T, Riccioli C, Garrido-Varo A, et al. On the geometry of SNV and MSC. Chemom Intell Lab Syst,2009,96:22-26
[29]Jakubowska M. Inverse continuous wavelet transform in voltammetry. Chemom Intell Lab Syst,2008,94:131-139
[30]Shao X G, Leung A K M, Chau F T. Wavelet:A new trend in chemistry. Accounts Chem Res,2003,36:276-283
[31]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[32]Cappadona S, Levander F, Jansson M, et al. Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry. Anal Chem,2008,80:4960-4968
[33]Forina M, Oliveri P, Casale M. Alternative common bases and signal compression for wavelets application in chemometrics. Anal Bioanal Chem,2011,339:1929-1939
[34]Chen D, Shao X G, Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[35]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[36]Shao X G, Cai W S. Resolution of multicomponent chromatograms by window factor analysis with wavelet transform preprocessing. J Chemometr,1998,12:85-93
[37]Zhang Z M, Chen S, Liang Y Z, et al. An intelligent background-correction algorithm for highly fluorescent samples in Raman spectroscopy. J Raman Spectrosc,2010,41:659-669
[38]Zhang Z M, Chen S, Liang Y Z. Peak alignment using wavelet pattern matching and differential evolution. Talanta,2011,83:1108-1117
[39]Jr Harrell F E, Lee K L, Mark D B. Multivariable prognostic models:Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med,1996,15:361-387
[40]Duranmeras I, Delapena A M, Espinosamansilla A, et al. Multicomponent determination of flavor enhancers in food preparations by partial least-squares and principal component regression modeling of spectrophotometric data. Analyst,1993,118:807-813
[41]Goodarzi M, Olivieri A C, Freitas M P. Principal component analysis-adaptive neuro-fuzzy inference systems (ANFISs) for the simultaneous spectrophotometric determination of three metals in water samples. Spectrochim Acta A,2009,73:608-614
[42]Hemmateenejad B, Elyasi M. A segmented principal component analysis-regression approach to quantitative structure-activity relationship modeling. Anal China Acta,2009, 646:30-38
[43]Meissl K; Smidt E, Schwanninger M, et al. Determination of humic acids content in composts by means of near-and mid-infrared spectroscopy and partial least squares regression models. Appl Spectrosc,2008,62:873-880
[44]Cai J R, Chen Q S, Wan X M, et al. Determination of total volatile basic nitrogen (TVB-N) content and Warner-Bratzler shear force (WBSF) in pork using Fourier transform near infrared (FT-NIR) spectroscopy. Food Chem,2011,126:1354-1360
[45]Rubert-Nason K F, Holeski L M, Couture J J, et al. Rapid phytochemical analysis of birch (Betula) and poplar (Populus) foliage by near-infrared reflectance spectroscopy. Anal Bioanal Chem,2013,405:1333-1344
[46]Picard R R, Cook R D. Cross-validation of regression models. J Am Stat Assoc,1984,79: 575-583
[47]-Xu Q S, Liang Y Z. Monte Carlo cross validation. Chemometr Intell Lab Syst,2001,56: 1-11
[48]Wongravee K, Lloyd G R, Hall J, et al. Monte-Carlo methods for determining optimal number of significant variables. Application to mouse urinary profiles. Metabolomics, 2009,5:387-406
[49]Haaland D M, Thomas E V. Partial least-squares methods for spectral analyses.1. Relation to other quantitative calibration methods and the extraction of qualitative information. AnalChem,1988,60:1193-1202
[50]Chen L, Wang J, Ye Z, et al. Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem,2012,135:338-342
[51]Balabin R M, Lomakina E I, Safieva R Z. Neural network (ANN) approach to biodiesel analysis:analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel,2011,90:2007-2015
[52]Thissen U, Pepers M, Ustun B, et al. Comparing support vector machines to PLS for spectral regression applications. Chemom Intell Lab Syst,2004,73:169-179
[53]Chauchard F, Cogdill R, Roussel S, et al. Application of LS-SVM to non-linear phenomena in NIR spectroscopy:development of a robust and portable sensor for acidity prediction in grapes. Chemom Intell Lab Syst,2004,71:141-150.
[54]Thissen U, Ustun B, Meissen W J, et al. Multivariate calibration with least-squares support vector machines. Anal Chem,2004,76:3099-3105
[55]Norris K H, Hart J R. Direct spectrophotometric determination of moisture cotent of grain and seeds. Principles and methods of measuring moisture in liquids and solids. 1965:19-25
[56]Lu G Q, Huang H H, Zhang D P. Prediction of sweetpotato starch physiochemical quality and pasting properties using near-infrared reflectance spectroscopy. Food Chem,2006,94: 632-639
[57]Liu F, Zhang F, Jin Z L, et al. Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near-infrared spectroscopy. Anal Chim Acta,2008,629:56-65
[58]Shen F, Niu X, Yang D, et al. Determination of amino acids in Chinese Rice Wine by fourier transform near-infrared spectroscopy. J Agric Food Chem,2010,58:9809-9816
[59]Khodabux K, Sophia M, L'Omelette S, et al. Chemical and near-infrared determination of moisture, fat and protein in tuna fishes. Food Chem,2007,102:669-675
[60]Uddin M, Okazaki E, Fukushima H, et al. Nondestructive determination of water and protein in surimi by near-infrared spectroscopy. Food Chem,2006,96:491-495
[61]Brenna O V, Berardo N. Application of near-infrared reflectance spectroscopy (NIRS) to the evaluation of carotenoids content in maize. J Agric Food Chem,2004,52:5577-5582
[62]Moron A, Cozzolino D, Determination of macro elements in alfalfa and white clover by near-infrared reflectance spectroscopy. J Agric Sci,2002,139:413-423
[63]Ng C L, Wehling R L, Cuppett S L. Method for determining frying oil degradation-by near-infrared spectroscopy. J Agric Food Chem,2007,55:593-597
[64]Delwiche S R, Bean M M, Miller R E, et al. Apparent amylose content of milled rice by near-infrared reflectance spectrophotometry. Cereal Chem,1995,72:182-187
[65]Cozzolino D, Smyth H E, Gishen M. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal Origins. J Agric Food Chem,2003,51: 7703-7708
[66]Liu L, Cozzolino D, Cynkar W U, et al. Geographic classification of Spanish and Australian Tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis. J Agric Food Chem,2006,54:6754-6759
[67]Xie L J, Ying Y B, Ying T J, et al. Discrimination of transgenic tomatoes based on visible/near-infrared spectra. Anal Chim Acta,2007,584:379-384
[68]Jiao Z, Si X X, Liu G K, et al. Unintended compositional changes in transgenic rice seeds (oryza sativa L.) studied by spectral and chromatographic analysis coupled with chemometrics methods. J Agric Food Chem,2010,58:1746-1754
[69]Li H, Lv X W, Wang J, et al. Quantitative determination of soybean meal content in compound feeds:comparison of near-infrared spectroscopy and real-time PCR. Anal Bioanal Chem,2007,389:2313-2322
[70]Van Raamsdonk L W D, Von Hoist C, Baeten V, et al. New developments in the detection and identification of processed animal proteins in feeds. Anim Feed Sci Technol,2007, 133:63-83
[71]Gaspardo B, Del Zotto S, Torelli E, et al. A rapid method for detection of fumonisins B1 and B2 in corn meal using Fourier transform near infrared (FT-NIR) spectroscopy implemented with integrating sphere. Food Chem,2012,135:1608-1612
[72]Tripathi S, Mishra H N. A rapid FT-NIR method for estimation of aflatoxin B1 in red chili powder. Food control,2009,20:840-849
[73]Fluckiger M, Brown M R, Ward L R, et al. Predicting glycogen concentration in the foot muscle of abalone using near infrared reflectance spectroscopy (NIRS). Food Chem,2011, 126:181-1820
[74]Shi J H; Chen Z L; Shao Y N, et al. Application of vis/NIR diffuse reflectance spectroscopy to the rapid detection and identification of tomato fruit via space mutation breeding. Spectrosc Spect Anal,2011,31:387-389
[75]Wang J, Nakano K, Ohashi S. Nondestructive evaluation of jujube quality by visible and near-infrared spectroscopy. LWT-Food Sci Technol,2011,44:1119-1125
[76]Niu X, Zhao Z, Jia K, et al. A feasibility study on quantitative analysis of glucose and fructose in lotus root powder by FT-NIR spectroscopy and chemometrics. Food Chem, 2012,133:592-597
[77]Mignani A G, Ciaccheri L, Ottevaere H, et al. Visible and near-infrared absorption spectroscopy by an integrating sphere and optical fibers for quantifying and discriminating the adulteration of extra virgin olive oil from Tuscany. Anal Bioanal Chem,2011,399: 1315-1324
[78]Ottavian M, Facco P, Fasolato L, et al. Use of near-infrared spectroscopy for fast fraud detection in seafood:application to the Authentication of Wild European Sea Bass (Dicentrarchus labrax). J Agric Food Chem,2012,60:639-648
[79]Galvis-Sanchez A C, Lopes J A, Delgadillo I, et al. Fourier transform near-infrared spectroscopy application for sea salt quality evaluation. J Agric Food Chem,2011, 59:11109-11116
[80]Chen L, Wang J, Ye Z, et al. Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem,2012,135:338-342
[81]Ghasemi-Varnamkhasti M, Mohtasebi S S, Rodriguez-Mendez M L, et al. Screening analysis of beer ageing using near infrared spectroscopy and the Successive Projections Algorithm for variable selection. Talanta,2012,89:286-291
[82]Kuligowski J, Carrion D, Quintas G, et al. Direct determination of polymerised triacylglycerides in deep-frying vegetable oil by near infrared spectroscopy using Partial Least Squares regression. Food Chem,2012,131:353-359
[83]Plans M, Simo J, Casanas F, et al. Near-infrared spectroscopy analysis of seed coats of common beans (phaseolus vulgaris L):a potential tool for breeding and quality evaluation. J Agric Food Chem,2012,60:706-712
[84]Fox G P, O'Donnell N H, Stewart P N, et al. Estimating hydrogen cyanide in forage sorghum (Sorghum bicolor) by near-infrared spectroscopy. J Agric Food Chem,2012,60, 6183-6187
[85]Kelly J J, Barlow C H, Jinguji T M, et al. Prediction of gasoline octane numbers from near-infrared spectral features in the range 660-1215 nm. Anal Chem,1989,61:313-320
[86]Macho S, Larrechi M S. Near-infrared spectroscopy and multivariate calibration for the quantitative determination of certain properties in the petrochemical industry. TrAC-Trends Anal Chem,2002,21:799-806
[87]Balabin R M, Safieva R Z. Gasoline classification by source and type based on near infrared (NIR) spectroscopy data. Fuel,2008,87:1096-1101
[88]Falla F S. Larini C, Le Roux G A C, et al. Characterization of crude petroleum by NIR. J Petrol Sci Eng,2006,51:127-137
[89]Fernandes H L, Raimundo I M, Pasquini C, et al. Simultaneous determination of methanol and ethanol in gasoline using NIR spectroscopy:effect of gasoline composition. Talanta, 2008,75:804-810
[90]Amat-Tosello A, Dupuy N, Kister J. Contribution of external parameter orthogonalisation for calibration transfer in short waves-Near infrared spectroscopy application to gasoline quality. Anal Chim Acta,2009,642:6-11
[91]Balabin R M, Safieva R Z, Lomakina E I. Gasoline classification using near infrared (NIR) spectroscopy data:comparison of multivariate techniques. Anal Chim Acta,2010,671: 27-35
[92]Balabin R M, Safieva R Z. Biodiesel classification by base stock type (vegetable oil) using near infrared spectroscopy data. Anal Chim Acta,2011,689:190-197
[93]Balabin R M. Near-infrared (NIR) spectroscopy for biodiesel analysis:fractional composition, iodine value, and cold filter plugging point from one vibrational spectrum. Energ Fuel,2011,25:2373-2382
[94]Reboucas M V, Brandao D S, Trindade A, et al. Chemical composition determination of complex organic-aqueous mixtures of alcohols, acetone, acetonitrile, hydrocarbons and water by near-infrared spectroscopy. Vib Spectrosc,2011,55:172-182
[95]Reboucas M V, Dos Santos J B, Domingos D, et al. Near-infrared spectroscopic prediction of chemical composition of a series of petrochemical process streams for aromatics production. Vib Spectrosc 2010,52:97-102
[96]Boog J H F, Silveira E L C, de Caland L B, et al. Determining the residual alcohol in biodiesel through its flash point. Fuel,2011,90:905-907
[97]Canha N, Felizardo P, Menezes J C, et al. Multivariate near infrared spectroscopy models for predicting the oxidative stability of biodiesel:effect of antioxidants addition. Fuel, 2012,97:352-357
[98]Pinzi S, Alonso F, Olmo J G, et al. Near infrared reflectance spectroscopy and multivariate analysis to monitor reaction products during biodiesel production. Fuel,2012,97: 354-359
[99]Zhao Y, Xu C, Zhao S, et al. Pattern recognition technology application in intelligent processing of heavy oil. Energ Fuel,2012,26:7251-7256
[100]Pontes M J C, Rocha A M J, Pimentel M F. Determining the quality of insulating oils using near infrared spectroscopy and wavelength selection. Microchemical Journal 2011, 98:254-259
[101]Blanco M, Cueva-Mestanza R, Peguero A. Controlling individual steps in the production process of paracetamol tablets by use of NIR spectroscopy. J Pharm Biomed Anal,2010, 51:797-804
[102]Alcala M, Blanco M, Bautista M, et al. On-Line monitoring of a granulation process by NIR spectroscopy. J Pharm Sci,2010,99:336-345
[103]Mantanus J, Ziemons E, Lebrun P, et al. Active content determination of non-coated pharmaceutical pellets by near infrared spectroscopy:method development, validation and reliability evaluation. Talanta,2010,80:1750-1757
[104]Grohganz H, Fonteyne M, Skibsted E, et al. Classification of lyophilised mixtures using multivariate analysis of NIR spectra. Eur J Pharm Biopharm,2010,74:406-412
[105]Shi Z Q, Anderson C A. Scattering orthogonalization of near-infrared spectra for analysis of pharmaceutical tablets. Anal Chem,2009,81:1389-1396
[106]Rosas J G, Blanco M, Gonzalez J M, et al.Quality by design approach of a pharmaceutical gel manufacturing process, part 2:near infrared monitoring of composition and physical parameters. J Pharm Sci,2011,100:4442-4451
[107]Pieters S, De Beer T, Kasper J C, et al. Near-infrared spectroscopy for in-line monitoring of protein unfolding and its interactions with lyoprotectants during freeze-drying. Anal Chem.2012,84:947-955
[108]Grohganz H, Gildemyn D, Skibsted E, et al. Rapid solid-state analysis of freeze-dried protein formulations using NIR and Raman spectroscopies. J Pharm Sci,2011,100: 2871-2875
[109]Hu Y, Macfhionnghaile P, Caron V, et al. Formation, physical stability, and quantification of process-induced disorder in cryomilled samples of a model polymorphic drug. J Pharm Sci,2013,102:93-103
[110]Koradia V, de Lemos A F F, Alleso M, et al. Phase transformations of amlodipine besylate solid forms. J Pharm Sci,2011,100:2896-2910
[111]Lopes M B, Wolff J C, Bioucas-Dias J M, et al. Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets. Anal Chem,2010,82:1462-1469
[112]Uwadaira Y, Adachi N, Ikehata A, et al. Factors affecting the accuracy of non-invasive blood glucose measurement by short-wavelength near infrared spectroscopy in the determination of the glycaemic index of foods. J Near Infrared Spectrosc,2010,18: 291-300
[113]Hirsch J C, Charpie J R, Ohye R G, et al. Near-infrared spectroscopy:what we know and what we need to know-a systematic review of the congenital heart disease literature. J Thorac Cardiovasc Surg,2009,137:154-159
[114]Pellicer A, Bravo M D. Near-infrared spectroscopy:a methodology-focused review. Semin Fetal Neonatal Med,2011,16:42-49
[115]Kim S B, Temiyasathit C, Bensalah K, et al. An effective classification procedure for diagnosis of prostate cancer in near infrared spectra. Expert Syst Appl,2010,37: 3863-3869
[116]Qi N, Zhang Z, Xiang Y, et al. Locally linear embedding method for dimensionality reduction of tissue sections of endometrial carcinoma by near infrared spectroscopy. Anal ChimActa,2012,724:12-19
[117]Sakudo A, Suganuma Y, Sakima R, et al. Diagnosis of HIV-1 infection by near-infrared spectroscopy:analysis using molecular clones of various HIV-1 subtypes. Clin Chim Acta, 2012,413:467-472
[118]Vermeij A, Van Beek A H E A, Olde Rikkert M G M, et al. Effects of aging on cerebral oxygenation during working-memory performance:a functional near-infrared spectroscopy study. Plos one,2012,7:46210
[119]Nasi T, Maki H, Kotilahti K, et al. Magnetic-stimulation-related physiological artifacts in hemodynamic near-infrared spectroscopy signals. Plos one,2011,4:24002
[120]Moros J, de Vallejuelo S F O, Gredilla A, et al. Use of reflectance infrared spectroscopy for monitoring the metal content of the estuarine sediments of the nerbioi-ibaizabal river (Metropolitan Bilbao, Bay of Biscay, Basque Country). Environ Sci Technol,2009,43: 9314-9320
[121]Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. TrAC Trends Anal Chem,2010,29: 1073-1081
[122]Chakraborty S, Weindorf D C, Zhu Y, et al. Assessing spatial variability of soil petroleum contamination using visible near-infrared diffuse reflectance spectroscopy. J Environ Monit,2012,14:2886-2892
[123]Shen J C, Shao X G Determination of tobacco alkaloids by GC-MS using cloud point extraction as a preconcentration step. Anal Chim Acta,2006,561:83-87
[124]Majedi S M, Lee H K, Kelly B C. Chemometric analytical approach for the cloud point extraction and inductively coupled plasma mass spectrometric determination of zinc oxide nanoparticles in water samples. Anal Chem,2012,84:6546-6552
[125]Rezaee M, SsadiY. Determination of organic compounds in water using dispersive liquid-liquid miero extraction. J Chromatogr A,2006,1116:1-9
[126]Wang P, Yang X, Wang J, et al. Multi-residue method for determination of seven neonicotinoid insecticides in grains using dispersive solid-phase extraction and dispersive liquid-liquid micro-extraction by high performance liquid chromatography. Food Chem, 2012,134:1691-1698
[127]Shi Z G, Lee H K. Dispersive Liquid-Liquid Microextraction Coupled with Dispersive μ-Solid-Phase Extraction for the Fast Determination of Polycyclic Aromatic Hydrocarbons in Environmental Water Samples. Anal Chem,2010,82:1540-1545
[128]St Onge L M, Dolar E, Anglim M A. Improved determination of phenobarbital, primidone, and phenytoin by use of a preparative instrument for extraction, followed by gas chromatography. Clin Chem,1979,25:1373-1376
[129]Gode D, Martin M M, Steiner F, et al. Rapid narrow band elution for on-line SPE using a novel solvent plug injection technique. Anal Bioanal Chem,2012,404:433-445
[130]Enevoldsen R, Juhler R K. Perfluorinated compounds (PFCs) in groundwater and aqueous soil extracts:using inline SPE-LC-MS/MS for screening and sorption characterization of perfluorooctane sulphonate and related compounds. Anal Bioanal Chem,2010,398: 1161-1172
[131]Bojko B, Cudjoe E, Gomez-Rios G A, et al. SPME-Quo vadis? Anal Chim Acta,2012,750: 132-151
[132]Hafez A M, Wenclawiak B W. Development of a new porous gold SPME fiber for selective and efficient extraction of dodecanethiol followed by GC-MS analysis. Anal Bioanal Chem, 2013,405:1753-1758
[133]Ho T D, Canestraro A J, Anderson J L. Ionic liquids in solid-phase microextraction:a review. Anal Chim Acta,2010,695:132-151
[134]Lehotaya S J, Son K A, Kwon H, et al. Comparison of QuEChERS sample preparation methods for the analysis of pesticide residues in fruits and vegetables. J Chromatogr A, 2010,1217:2548-2560
[135]Stubbings G, Bigwood T. The development and validation of a multiclass liquid chromatography tandem mass spectrometry (LC-MS/MS) procedure for the determination of veterinary drug residues in animal tissue using a QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe) approach. Anal Chim Acta,2009,637:68-78
[136]Jeong I S, Kwak B M, Ahn J H.Determination of pesticide residues in milk using a QuEChERS-based method developed by response surface methodology. Food Chem,2012, 133:173-181
[137]Fang G Z, Tan J, Yan X P. An ion-imprinted functionalized silica gel sorbent prepared by a surface imprinting technique combined with a sol-gel process for selective solid-phase extraction of Cadmium(II). Anal Chem,2005,77:1734-1739
[138]Shi Y, Peng D D, Shi C H, et al. Selective determination of trace 17 beta-estradiol in dairy and meat samples by molecularly imprinted solid-phase extraction and HPLC. Food Chem, 2011,126:1916-1925
[139]Ambrosini S, Shinde S, De Lorenzi E, et al. Glucuronide directed molecularly imprinted solid-phase extraction:isolation of testosterone glucuronide from its parent drug in urine. Analyst,2012,137:249-254
[140]Sattler M L, Rosenberk R S. Removal of carbonyl sulfide using activated carbon adsorption. J Air Waste Manage Assoc,2006,56:219-224
[141]Collins P G, Bradley K, Ishigami M, et al. Extreme oxygen sensitivity of electronic properties of carbon nanotubes. Science,2000,287:1801-1804
[142]曲荣君.金属离子吸附材料：制备.结构.性能.北京：化学工业出版社,2009.32-38
[143]Klika Z, Kraus L, Vopalka D. Cesium uptake from aqueous solutions by bentonite:a comparison of multicomponent sorption with ion-exchange models. Langmuir,2007,23: 1227-1233
[144]Slavica L, Ivona J, Dusan J. Adsorption of Pb24, Cd2+and Sr2+ ions onto natural and acid-activated sepiolites. Appl Clay Sci,2007,37:47-57
[145]Chao Y F, Lee J J, Wang S L. Preferential adsorption of 2,4-dichlorophenoxyacetate from associated binary-solute aqueous systems by Mg/Al-NO3 layered double hydroxides with different nitrate orientations. J Hazard Mater,2009,165:846-852
[146]Wang H, Xiang X, Li F. Facile synthesis and novel electrocatalytic performance of nanostructured Ni-Al layered double hydroxide/carbon nanotube composites, J Mater Chem,2010,20:3944-3952
[147]Chen X, Wang Q. Shen J M, et al. Adsorption of leucine-rich Amelogenin protein on hydroxyapatite (001) surface through-COO-claws. J Phys Chem C,2007,111:1284-1290
[148]Braschi I, Blasioli S, Gigli L. Removal of sulfonamide antibiotics from water:Evidence of adsorption into an organophilic zeolite Y by its structural modifications. J Hazard Mater, 2010,178:218-225
[157]Puanngam M, Unob F. Preparation and use of chemically modified MCM-41 and silica gel as selective adsorbents for Hg(Ⅱ) ions. J Hazard Mater,2008,154:578-587
[149]Lu X, Yin Q F, Xin Z. Powerful adsorption of silver(I) onto thiol-functionalized polysilsesquioxane microspheres. Chem Eng Sci,2010,65:6471-6477
[150]Singh B. Treatment of spent catalyst from the nitrogenous fertilizer industry-a review of the available methods of regeneration, reeovery and disposal. J Hazard Mater,2009,167: 24-37
[151]Dos Santos M, Rahim A, Fattori N, et al. Novel amperometric sensor based on mesoporous silica chemically modified with ensal copper complexes for selective and sensitive dopamine determination. Sensor Actuator B-Chem,2012,171:712-718
[152]Kresge C T, Leonowicz M E, Roth W J, et al. Ordered mesoporous molecular sieves synthesized by a liquid-crystal template mechanism. Nature,1992,359:710-712.
[153]Chen S Y, Huang C Y, Yokoi T, et al. Synthesis and catalytic activity of amino-functionalized SBA-15 materials with controllable channel lengths and amino loadings, J Mater Chem,2012,22:2233-2243
[154]Kumar U, Bandyopadhyay M. Sorption of cadmium from aqueous solution using pretreated rice husk. Bioresour Technol,2006,97:104-109
[155]Guo X, Zhang S, Shan X. Adsorption of metal ions on lignin. J Hazard Mater,2008,151: 134-142
[156]Zhang X L, Niu H Y, Cai Y Q, et al. Chitosan-coated octadecyl-functionalized magnetite nanoparticles:preparation and application in extraction of trace pollutants from environmental water samples. Anal Chem,2010,82:2363-2371
[157]Popat A, S B Hartono, Stahr F, et al. Mesoporous silica nanoparticles for bioadsorption, enzyme immobilisation, and delivery carriers. Nanoscale,2011,3:2801-2818
[158]Islam A, Laskar M A, Ahmad A. Characterization of a novel chelating resin of enhanced hydrophilicity and its analytical utility for preconcetration of trace metal ions. Talanta, 2010,81:1772-1780
[159]Kara D, Fisher A, Hill S J. Determination of trace heavy metals in soil and sediments by atomic spectrometry following preconcentration with Schiff bases on Amberlite XAD-4. J Hazard Mater,2009,165:1165-1169
[160]Li Z H, Chang X J, Zou X J, et al. Chemically-modified activated carbon with ethylenediamine for selective solid-phase extraction and preconcentration of metal ions. Anal Chim Acta,2009,632:272-277
[161]Lagadic IL, Mitchell M K, Payne B D. Highly effective adsorption of heavy metal ions by a thiol-functionalized magnesium phyllosilicate clay. Environ Sci Technol,2001,35: 984-990
[162]Chai L Y, Li Q Z, Zhu Y H, et al. Synthesis of thiol-functionalized spent grain as a novel adsorbent for divalent metal ions. Bioresour Technol; 2010,101:6269-6272
[163]Mercier L, Pinnavaia T J. A functionalized porous clay heterostructure for heavy metal ion (Hg2+) trapping. Micropor Mesopor Mater,1998,20:101-106
[164]Miller C R, Vogel R, Trau M. Functionalized organosilica microspheres via a novel emulsion-based route, Langmuir,2005,21:9733-9740
[165]Pyrzynska K. Carbon nanostructures for separation, preconcentration and speciation of metal ions. TrAC Trends Anal Chem,2010,29:718-727
[166]Moros J, Garrigues S, de la Guardia M. Vibrational spectroscopy provides a green tool for multi-component analysis. TrAC-Trends Anal Chem,2010,29:578-591
[167]Blanco M, Villarroya I, NIR spectroscopy:a rapid-response analytical tool. TrAC-Trends Anal Chem,2002,21:240-250
[168]Xia X Q, Mao Y Q, Ji J, et al. Reflectance spectroscopy study of Cd contamination in the sediments of the Changjiang River, China. Environ Sci Technol,2007,41:3449-3454
[169]Kooistra L; Wehrens R, Leuven R S E W, et al. Possibilities of visible-near-infrared spectroscopy for the assessment of soil contamination in river floodplains. Anal Chim Acta,2001,446:97-105
[170]Chen G P, Mei Y, Du Y P, et al. Micro near infrared spectroscopy (MicroNIRS) based on on-line enrichment:determination of trace copper in water using glycidyl methacrylate-based monolithic material. Anal Chim Acta,2010,670:39-43
[171]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[172]Huang Z X, Tao W, Du Y P, et al. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Chemom Intell Lab Syst,2009,98:195-200
[173]Li J H, Cai W S, Shao X G, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay.Talanta,2011,84:679-683
[174]Ning Y, Li J H, Shao X G, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[175]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[176]Rutan S C, de Noord O E, Andrea R R, Characterization of the sources of variation affecting Near-Infrared Spectroscopy Using Chemometric Methods. Anal Chem.1998,70: 3198-3201
[177]Eddy C V, Flanigan M, Arnold M A, et al. Near-infrared spectroscopic measurement of urea in dialysate samples collected during hemodialysis treatments. Appl Spectrosc,2003, 57:1230-1235
[178]Arnold M A, Small G W, Xiang D, et al. Pure component selectivity analysis of multivariate calibration models from near-infrared spectra solutions. Anal Chem,2004,76: 2583-2590
[179]Mittermayr C R, Tan H W, Brown S D, et al. Robust calibration with respect to background variation. Appl Spectrosc,2001,55:827-833
[180]Lima K M G, Jr Raimundo I M, Pimentel M F, et al. Improving the detection limits of near infrared spectroscopy in the determination of aromatic hydrocarbons in water employing a silicone sensing phase. Sensor Actuator B-Chem,2007,125:229-233
[181]Albuquerque J S, Pimentel M F, Silva V L, et al. Silicone sensing phase for detection of aromatic hydrocarbons in water employing near-infrared spectroscopy. Anal Chem,2005, 77:72-77
[182]Du Y P, Wei X M, Xie H P, et al. An enrichment device of silica-based monolithic material and its application to determine micro carbaryl by NIR. Chin Chem Lett,2009,20: 469-472
[183]Huang Z X, Tao W, Du Y P, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water. Chemom Intell Lab Syst,2009,98:195-200
[184]Zhang Y, Hao Y, Cai W S, et al. Simultaneous determination of phenol and p-nitrophenol in wastewater using near-infrared diffuse reflectance spectroscopy with adsorption preconcentration. Anal Method,2011,3:703-708
[185]Yang Y F, Cai W S, Shao X Q et al. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy. Talanta, 2012,99,871-874
[186]Hao Y, Cai W S, Shao X G. A strategy for enhancing the quantitative determination ability of the diffuse reflectance near-infrared spectroscopy. Spectrochim Acta A,2009,72: 115-119
[187]Kok-Hui G, Teik-Thye L, Dong Z L. Application of layered double hydroxides for removal of oxyanions:a review. Water Res,2008,42:1343-1368
[188]Corami A, Mignardi S, Ferrini V, Cadmium removal from single-and multi-metal (Cd2+, Pb2+, Zn2+, Cu2+) solutions by sorption on hydroxyapatite. J Colloid Interface Sci.2008, 317:402-408
[189]Legrouri A, Lakraimi M, Barroug A, et al. Removal of the herbicide 2, 4-dichlorophenoxyacetate from water to zinc-aluminium-chloride layered double hydroxides. Water Res,2005,39:3441-3448
[190]Mavropoulos E, Rossi A M, Costra A. Studies on the mechanisms of lead immobilization by hydroxyapatite. Environ Sci Technol,2002,36:1625-1629
[191]Valente J S, Tzompantzi F, Gomez R. Adsorption and photocatalytic degradation of phenol and 2,4-dichlorophenoxiacetic acid by Mg-Zn-Al layered double hydroxides. Appl Catal B,2009,90:330-338
[192]Shao X G, Leung A K M, Chau F'T. Wavelets:a new trend in chemistry. Acc Chem Res, 2003,36:276-283.
[193]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[194]Cai W S, Li Y K, Shao X G. A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra. Chemom Intell Lab Syst, 2008,90:188-194.
[195]Xu H, Liu Z C, Cai W S, et al. A wavelength selection method based on randomization test for near-infrared spectral analysis. Chemom Intell Lab Syst,2009,97:189-193
[196]Li H D, Liang Y Z, Xu Q S, et al. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. Anal Chim Acta,2009, 648:77-84
[197]Centner V, Massart D L, de Noord O E, et al. Elimination of uninformative variables for multivariate calibration. Anal Chem,1996,68:3851-3858
[198]Wold S, Sjostrom M, Eriksson L. PLS-regression:a basic tool of chemometrics. Chemom Intell Lab Syst,2001,58:109-130
[199]Haaland D M, Thomas E V. Partial least squares methods for spectral analysis 1:relation to other multivariate calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[200]Chen X T, Xiang Y, Tong A J. Facile, sensitive and selective fluorescence turn-on detection of HSA/BSA in aqueous solution utilizing 2,4-dihydroxyl-3-iodo salicylaldehyde azine. Talanta,2010,80:1952-1958
[201]Deng Y H, Zhang Z X, Zhang H S, et al. Development of an N-hydroxysuccinimidyl fluorescein-O-acetate-labeled probe for competitive capillary electrophoretic immunoassay of bovine serum albumin. Talanta,2010,81:1806-1809
[202]Liu X Y, Wu X, Yang J H. Protein determination using methylene blue in a synchronous fluorescence technique. Talanta,2010,81:760-765
[203]Wang Y, Li J H. A carbon nanotubes assisted strategy for insulin detection and insulin proteolysis assay. Anal Chim Acta,2009,650:49-53
[204]Tanaka T, Izawa K, Okochi M, et al. On-chip type cation-exchange chromatography with ferrocene-labeled anti-hemoglobin antibody and electrochemical detector for determination of hemoglobin Aic level. Anal Chim Acta,2009:638:186-190
[205]Sexton L T, Mukaibo H, Katira P, et al. An adsorption-based model for pulse duration in resistive-pulse protein sensing. J Am Chem Soc,2010,132:6755-6763
[206]Terenghi M, Elviri L, Careri M, et al. Multiplexed determination of protein biomarkers using metal-tagged antibodies and size exclusion chromatography-inductively coupled plasma mass spectrometry. Anal Chem,2009,81:9440-9448
[207]Chiang C K, Yang Z, Lin Y W, et al. Detection of proteins and protein-ligand complexes using HgTe nanostructure matrixes in surface-assisted'laser desorption/ionization mass spectrometry. Anal Chem,2010,82:4543-4550
[208]Wang G, Johnson A J, Kaltashov I A, et al. Evaluation of electrospray ionization mass spectrometry as a tool for characterization of small soluble protein aggregates. Anal Chem, 2012,84:1718-1724
[209]Freeman R, Finder T, Gill R. Probing protein kinase (CK2) and alkaline phosphatase with CdSe/ZnS quantum dots. Nano Lett,2010,10:2192-2196
[210]Wu P, Miao L N, Wang H F, et al. A multidimensional sensing device for the discrimination of proteins based on manganese-doped ZnS quantum dots. Angew Chem Int Ed,2011,50:8118-8121
[211]Ma W, Zhang Y, Li L, et al. Ti4+ -Immobilized magnetic composite microspheres for highly selective enrichment of phosphopeptides. Adv Funct Mater,2013,23:107-115
[212]Zhang X, He X, Chen L, et al. Boronic acid modified magnetic nanoparticles for enrichment of glycoproteins via azide and alkyne click chemistry. J Mater Chem,2012,22: 16520-16526
[213]Lin Z, Xia Z, Zheng J, et al. Synthesis of uniformly sized molecularly imprinted polymer-coated silica nanoparticles for selective recognition and enrichment of lysozyme. J Mater Chem,2012,22:17914-17922
[214]Najam-ul-Haqa M, Jabeen F, Hussain D, et al. Versatile nanocomposites in phosphoproteomics:a review. Anal Chim Acta,2012,747:7-18
[215]Lu J, Qi D, Deng C, et al. Hydrothermal synthesis of a-Fe203@Sn02 core-shell nanotubes for highly selective enrichment of phosphopeptides for mass spectrometry analysis. Nanoscale,2010,2:1892-1900
[216]Wu H C, Wang T W, Sun J S, et al. A novel biomagnetic nanoparticle based on hydroxyapatite. Nanotech,2007,18:165601
[217]Hou C H, Hou S M, Hsueh Y S, et al. The in vivo performance of biomagnetic hydroxyapatite nanoparticles in cancer hyperthermia therapy. Biomaterials,2009,30: 3956-3960
[218]Wu H C, Wang T W, Bohn M C, et al. Novel magnetic hydroxyapatite nanoparticles as non-Viral vectors for the glial cell line-derived neurotrophic factor gene. Adv Funct Mater, 2010,20:67-77
[219]Alishahi A, Farahmand H, Cozzolino D, et al. Identification of transgenic foods using NIR spectroscopy:a review. Spectrochim Acta A,2010,75:1-7
[220]Jinendra B, Tamaki K, Kuroki S, et al. Near infrared spectroscopy and aquaphotomics: Novel approach for rapid in vivo diagnosis of virus infected soybean. Biochem Bioph Res Co,2010,397:685-690
[221]Mantanus J, Ziemons E, Lebrun P, et al. Moisture content determination of pharmaceutical pellets by near infrared spectroscopy:method development and validation. Anal Chim Acta,2009,642:186-192
[222]Kauppinen A, Toiviainen M, Korhonen O, et al. In-line multipoint near-infrared spectroscopy for moisture content quantification during freeze-drying. Anal Chem,2013, 85:2377-2384
[223]Xie S F, Xiang B R, Yu L Y, et al. Tailoring noise frequency spectrum to improve NIR determinations. Talanta,2009,80:895-902
[224]Rinnan A, van den Berg F, Engelsen S B. Review of the most common pre-processing
[225]Feng Y, Gong J L, Zeng G M, et al. Adsorption of Cd (Ⅱ) and Zn (Ⅱ) from aqueous solutions using magnetic hydroxyapatite nanoparticles as adsorbents. Chem Eng J,2010, 162:487-494
[226]Liese H. An infrared absorption analysis of magnetite. Am Miner,1967,52:1198-1205
[227]Meister A. Glutathione metabolism and its selective modification, J Biol Chem,1988,263: 17205-17208
[228]Schulz J B, Lindenau J, Seyfried J, et al. Glutathione, oxidative stress and neurodegeneration. Eur J Biochem,2000,267:4904-4911
[229]Hwang C, Sinskey A J, Lodish H F. Oxidized redox state of glutathione in the endoplasmic reticulum. Science,1992,257:1496-1502
[230]Lu S C. Regulation of glutathione synthesis. Mol Aspects Med,2009,30:42-59
[231]Townsend D M, Tew K D, Tapiero H. The antioxidant role of selenium and seleno-compounds. Biomed Pharmacother,2003,57:134-144
[232]Herzenberg L A, De Rosa S C, Dubs J G, et al. Glutathione deficiency is associated with impaired survival in HIV disease. Proc Natl Acad Sci,1997,94:1967-1972
[233]Cecchi C, Latorraca S, Sorbi S, et al. Gluthatione level is altered in lymphoblasts from patients with familial Alzheimer's disease. Neurosci Lett,1999,275:152-154
[234]Altomare E, Vendemiale G, Albano O. Hepatic glutathione content in patients with alcoholic and non alcoholic liver diseases. Life Sci,1988,43:991-998
[235]Zhang Y, Li Y, Yan X P. Photoactivated CdTe/CdSe quantum dots as a near infrared fluorescent probe for detecting biothiols in biological fluids. Anal Chem,2009,81: 5001-5007
[236]Liu J, Bao C, Zhong X, et al. Highly selective detection of glutathione using a quantum-dot-based OFF-ON fluorescent probe. Chem Commun,2010,46:2971-2973
[237]Chen X, Zhou Y, Peng X. Fluorescent and colorimetric probes for detection of thiols. Chem Soc Rev,2010,39:2120-2135
[238]Raoof J B, Ojani R, Baghayeri M. Simultaneous electrochemical determination of glutathione and tryptophan on a nano-TiO2/ferrocene carboxylic acid modified carbon paste electrode. Sensor Actuat B-Chem,2009,143:261-269
[239]Ferin R, Pavao L M, Baptista J. Methodology for a rapid and simultaneous determination of total cysteine, homocysteine, cysteinylglycine and glutathione in plasma by isocratic RP-HPLC. J Chromatogr B,2012,911:15-20
[240]Niu L Y, Guan Y S, Chen Y Z. BODIPY-Based ratiometric fluorescent sensor for highly selective detection of glutathione over cysteine and homocysteine. J Am Chem Soc,2012, 134:18928-18931
[241]Lee M H, Han J H, Kwon P S, et al. Hepatocyte-targeting single galactose-appended naphthalimide:a tool for intracellular thiol imaging in vivo. J Am Chem Soc,2012,134: 1316-1322
[242]Lim C S, Masanta G, Kim H J, et al. Ratiometric detection of mitochondrial thiols with a two-photon fluorescent probe. J Am Chem Soc,2011,133:11132-11135
[243]Sun Y Q, Chen M, Liu J, et al. Nitroolefin-based coumarin as a colorimetric and fluorescent dual probe for biothiols. Chem Commun,2011,47:11029-11031
[244]Yi L, Li H, Sun L, et al. A highly sensitive fluorescence probe for fast thiol quantification assay of glutathione reductase. Angew Chem Int Ed,2009,48:4034-4037
[245]Cheng S H, Lee C H, Chen M C, et al. Tri-functionalization of mesoporous silica nanoparticles for comprehensive cancer theranostics-the trio of imaging, targeting and therapy. J Mater Chem,2010,20:6149-6157
[246]Slowing I I, Vivero-Escoto J L, Trewyn B G, et al. Mesoporous silica nanoparticles: structural design and applications. J Mater Chem,2010,20:7924-7937
[247]Lu Y, Lu G, Wang Y, et al. Functionalization of cubic Ia3d mesoporous silica for immobilization of penicillin G acylase. Adv Funct Mater,2007,17:2160-2166
[248]Salis A, Meloni D, Ligas S, et al. Physical and chemical adsorption of Mucor javanicus lipase on SBA-15 mesoporous silica. Langmuir,2005,21:5511-5516
[249]Lee C H, Lin T S, Mou C Y. Mesoporous materials for encapsulating enzymes. Nano Today,2009,4:165-179
[250]Alishahi A, Farahmand H, Cozzolino D, et al. Identification of transgenic foods using NIR spectroscopy:a review. Spectrochim Acta A,2010,75:1-7
[251]Burggraeve A, Silva A F T, Vanden Kerkhof T, et al. Development of a fluid bed granulation process control strategy based on real-time process and product measurements. Talanta,2012,100:293-302
[252]Gao G, Lange D, Hilpert K, et al. The biocompatibility and biofilm resistance of implant coatings based on hydrophilic polymer brushes conjugated with antimicrobial peptides. Biomaterials,2011,32:3899-3909
[253]Hiyoshi N, Yogo K, Yashima T. Adsorption characteristics of carbon dioxide on organically functionalized SBA-15. Micropor Mesopop Mat,2005,84:357-365
[254]Koehler P. Concentrations of low and high molecular weight thiols in wheat dough as affected by different concentrations of ascorbic acid. J Agric Food Chem,2003,51: 4948-4953
[2]陆婉珍.现代近红外光谱分析技术.北京：中国石化出版社,2007：21-31
[3]吴瑾光.近代傅里叶变换红外光谱分析技术及应用.北京：科学技术文献出版社,1994
[4]Chen J, Arnold M A, Small G W, Comparison of combination and first overtone spectral regions for near-infrared calibration models for glucose and other biomolecules in aqueous solutions. Anal Chem.2004,76:5405-5413
[5]Berntsson O, Danielsson L G, Folestad S. Estimation of effective sample size when analysing powders with diffuse reflectance near-infrared spectrometry. Anal Chim Acta, 1998,364:243-251
[6]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:An application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[7]Brimmer P J, Griffiths P R. Effect of absorbing matrices on diffuse reflectance infrared spectra. Anal Chem,1986,58:2179-2184
[8]Sirita J, Phanichphant S, Meunier F C. Quantitative analysis of adsorbate concentrations by diffuse reflectance FT-IR. Anal Chem,2007,79:3912-3918
[9]Kubelka P. New contributions to the optics of intensely light-scattering materials. Part Ⅰ. J Optical Soc Am,1948,38:448-457
[10]Kubelka P, Munk F. An article on optics of paint layers. J Z tech Physik,1931,12: 593-601
[11]梁逸曾,俞汝勤.化学计量学.北京：高等教育出版社,2003
[12]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[13]Archibald D D, Akin D E. Use of spectral window preprocessing for selecting near-infrared reflectance wavelengths for determination of the degree of enzymatic retting of intact flax stems. Vib Spectrosc,2000,23:169-180
[14]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[15]Cappadona S, Levander F, Jansson M, et al. Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry. Anal Chem,2008,80:4960-4968
[16]Eilers P H C. A perfect smoother. Anal Chem,2003,76:3631-3636
[17]Eilers P H C. Parametric time warping. Anal Chem,2004,76:404-411
[18]Jirasek A, Schulze G, Yu M M L, et al. Accuracy and precision of manual baseline determination. Appl Spectrosc,2004,58:1488-1499
[19]Yeow Y L, Leon Y K.A general computational method for converting normal spectra into derivative spectra. Appl Spectrosc,2005,59:584-592
[20]Ma C X, Shao X G Continuous wavelet transform applied to removing the fluctuating background in near-infrared spectra. J Chem Inf Comput Sci,2004,44:907-911
[21]Geladi P, MacDougall D, Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc,1985,39:491-500
[22]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:An application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[23]Feudale R N, Woody N A, Tan H, et al. Transfer of multivariate calibration models:a review. Chemometr Intell Lab Syst,1995,29:233-241
[24]Martens H, Pram Nielsen J, Balling Engelsen S. Light scattering and light absorbance separated by extended multiplicative signal correction, application to near-infrared transmission analysis of powder mixtures. Anal Chem,2003,75:394-404
[25]Gallagher N B, Blake T A, Gassman P L. Application of extended inverse scatter correction to mid-infrared reflectance spectra of soil. J Chemometr,2005,19:271-281
[26]Windig W, Shaver J, Bro R. Loopy MSC:A simple way to improve multiplicative scatter correction. Appl Spectrosc,2008,62:1153-1159
[27]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[28]Fearn T, Riccioli C, Garrido-Varo A, et al. On the geometry of SNV and MSC. Chemom Intell Lab Syst,2009,96:22-26
[29]Jakubowska M. Inverse continuous wavelet transform in voltammetry. Chemom Intell Lab Syst,2008,94:131-139
[30]Shao X G, Leung A K M, Chau F T. Wavelet:A new trend in chemistry. Accounts Chem Res,2003,36:276-283
[31]Chen D, Wang F, Shao X Q et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[32]Cappadona S, Levander F, Jansson M, et al. Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry. Anal Chem,2008,80:4960-4968
[33]Forma M, Oliveri P, Casale M. Alternative common bases and signal compression for wavelets application in chemometrics. Anal Bioanal Chem,2011,339:1929-1939
[34]Chen D, Shao X Q Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[35]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[36]Shao X G, Cai W S. Resolution of multicomponent chromatograms by window factor analysis with wavelet transform preprocessing. J Chemometr,1998,12:85-93
[37]Zhang Z M, Chen S, Liang Y Z, et al. An intelligent background-correction algorithm for highly fluorescent samples in Raman spectroscopy. J Raman Spectrosc,2010,41:659-669
[38]Zhang Z M, Chen S, Liang Y Z. Peak alignment using wavelet pattern matching and differential evolution. Talanta,2011,83:1108-1117
[39]Jr Harrell F E, Lee K L, Mark D B. Multivariable prognostic models:Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med,1996,15:361-387
[40]Duranmeras I, Delapena A M, Espinosamansilla A, et al. Multicomponent determination of flavor enhancers in food preparations by partial least-squares and principal component regression modeling of spectrophotometric data. Analyst,1993,118:807-813
[41]Goodarzi M, Olivieri A C, Freitas M P. Principal component analysis-adaptive neuro-fuzzy inference systems (ANFISs) for the simultaneous spectrophotometric determination of three metals in water samples. Spectrochim Acta A,2009,73:608-614
[42]Hemmateenejad B, Elyasi M. A segmented principal component analysis-regression approach to quantitative structure-activity relationship modeling. Anal Chim Acta,2009, 646:30-38
[43]Meissl K.; Smidt E, Schwanninger M, et al. Determination of humic acids content in composts by means of near-and mid-infrared spectroscopy and partial least squares regression models. Appl Spectrosc,2008,62:873-880
[44]Cai J R, Chen Q S, Wan X M, et al. Determination of total volatile basic nitrogen (TVB-N) content and Warner-Bratzler shear force (WBSF) in pork using Fourier transform near infrared (FT-NIR) spectroscopy. Food Chem,2011,126:1354-1360
[45]Rubert-Nason K F, Holeski L M, Couture J J, et al. Rapid phytochemical analysis of birch (Betula) and poplar (Populus) foliage by near-infrared reflectance spectroscopy. Anal Bioanal Chem,2013,405:1333-1344
[46]Picard R R, Cook R D. Cross-validation of regression models. J Am Stat Assoc,1984,79: 575-583
[47]Xu Q S, Liang Y Z. Monte Carlo cross validation. Chemometr Intell Lab Syst,2001,56: 1-11
[48]Wongravee K, Lloyd G R, Hall J, et al. Monte-Carlo methods for determining optimal number of significant variables. Application to mouse urinary profiles. Metabolomics, 2009,5:387-406
[49]Haaland D M, Thomas E V. Partial least-squares methods for spectral analyses.1. Relation to other quantitative calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[50]Chen L, Wang J, Ye Z, et al. Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem,2012,135:338-342
[51]Balabin R M, Lomakina E I, Safieva R Z. Neural network (ANN) approach to biodiesel analysis:analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel,2011,90:2007-2015
[52]Thissen U, Pepers M, Ustun B, et al. Comparing support vector machines to PLS for spectral regression applications. Chemom Intell Lab Syst,2004,73:169-179
[53]Chauchard F, Cogdill R, Roussel S, et al. Application of LS-SVM to non-linear phenomena in NIR spectroscopy:development of a robust and portable sensor for acidity prediction in grapes. Chemom Intell Lab Syst,2004,71:141-150.
[54]Thissen U, Ustun B, Meissen W J, et al. Multivariate calibration with least-squares support vector machines. Anal Chem,2004,76:3099-3105
[55]Norris K H, Hart J R. Direct spectrophotometric determination of moisture cotent of grain and seeds. Principles and methods of measuring moisture in liquids and solids. 1965:19-25
[56]Lu G Q, Huang H H, Zhang D P. Prediction of sweetpotato starch physiochemical quality and pasting properties using near-infrared reflectance spectroscopy. Food Chem,2006,94: 632-639
[57]Liu F, Zhang F, Jin Z L, et al. Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near-infrared spectroscopy. Anal Chim Acta,2008,629:56-65
[58]Shen F, Niu X, Yang D, et al. Determination of amino acids in Chinese Rice Wine by fourier transform near-infrared spectroscopy. J Agric Food Chem,2010,58:9809-9816
[59]Khodabux K, Sophia M, L'Omelette S, et al. Chemical and near-infrared determination of moisture, fat and protein in tuna fishes. Food Chem,2007,102:669-675
[60]Uddin M, Okazaki E, Fukushima H, et al. Nondestructive determination of water and protein in surimi by near-infrared spectroscopy. Food Chem,2006,96:491-495
[61]Brenna O V, Berardo N. Application of near-infrared reflectance spectroscopy (NIRS) to the evaluation of carotenoids content in maize. J Agric Food Chem,2004,52:5577-5582
[62]Moron A, Cozzolino D, Determination of macro elements in alfalfa and white clover by near-infrared reflectance spectroscopy. J Agric Sci,2002,139:413-423
[63]Ng C L, Wehling R L, Cuppett S L. Method for determining frying oil degradation by near-infrared spectroscopy. J Agric Food Chem,2007,55:593-597
[64]Delwiche S R, Bean M M, Miller R E, et al. Apparent amylose content of milled rice by near-infrared reflectance spectrophotometry. Cereal Chem,1995,72:182-187
[65]Cozzolino D, Smyth H E, Gishen M. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal Origins. J Agric Food Chem,2003,51: 7703-7708
[66]Liu L, Cozzolino D, Cynkar W U, et al. Geographic classification of Spanish and Australian Tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis. J Agric Food Chem,2006,54:6754-6759
[67]Xie L J, Ying Y B, Ying T J, et al. Discrimination of transgenic tomatoes based on visible/near-infrared spectra. Anal Chim Acta,2007,584:379-384
[68]Jiao Z, Si X X, Liu G K, et al. Unintended compositional changes in transgenic rice seeds (oryza sativa L.) studied by spectral and chromatographic analysis coupled with chemometrics methods. J Agric Food Chem,2010,58:1746-1754
[69]Li H, Lv X W, Wang J, et al. Quantitative determination of soybean meal content in compound feeds:comparison of near-infrared spectroscopy and real-time PCR. Anal Bioanal Chem,2007,389:2313-2322
[70]Van Raamsdonk L W D, Von Hoist C, Baeten V, et al. New developments in the detection and identification of processed animal proteins in feeds. Anim Feed Sci Technol,2007, 133:63-83
[71]Gaspardo B, Del Zotto S, Torelli E, et al. A rapid method for detection of fumonisins B1 and B2 in corn meal using Fourier transform near infrared (FT-NIR) spectroscopy implemented with integrating sphere. Food Chem,2012,135:1608-1612
[72]Tripathi S, Mishra H N. A rapid FT-NIR method for estimation of aflatoxin B1 in red chili powder. Food control,2009,20:840-849
[73]Fluckiger M, Brown M R, Ward L R, et al. Predicting glycogen concentration in the foot muscle of abalone using near infrared reflectance spectroscopy (NIRS). Food Chem,2011, 126:181-1820
[74]Shi J H; Chen Z L; Shao Y N, et al. Application of vis/NIR diffuse reflectance spectroscopy to the rapid detection and identification of tomato fruit via space mutation breeding. Spectrosc Spect Anal,2011,31:387-389
[75]Wang J, Nakano K, Ohashi S. Nondestructive evaluation of jujube quality by visible and near-infrared spectroscopy. LWT-Food Sci Technol,2011,44:1119-1125
[76]Niu X, Zhao Z, Jia K, et al. A feasibility study on quantitative analysis of glucose and fructose in lotus root powder by FT-NIR spectroscopy and chemometrics. Food Chem, 2012,133:592-597
[77]Mignani A G, Ciaccheri L, Ottevaere H, et al. Visible and near-infrared absorption spectroscopy by an integrating sphere and optical fibers for quantifying and discriminating the adulteration of extra virgin olive oil from Tuscany. Anal Bioanal Chem,2011,399: 1315-1324
[78]Ottavian M, Facco P, Fasolato L, et al. Use of near-infrared spectroscopy for fast fraud detection in seafood:application to the Authentication of Wild European Sea Bass (Dicentrarchus labrax). J Agric Food Chem,2012,60:639-648
[79]Galvis-Sanchez A C, Lopes J A, Delgadillo I, et al. Fourier transform near-infrared spectroscopy application for sea salt quality evaluation. J Agric Food Chem,2011, 59:11109-11116
[80]Chen L, Wang J, Ye Z, et al. Classification of chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem,2012,135:338-342
[81]Ghasemi-Varnamkhasti M, Mohtasebi S S, Rodriguez-Mendez M L, et al. Screening analysis of beer ageing using near infrared spectroscopy and the Successive Projections Algorithm for variable selection. Talanta,2012,89:286-291
[82]Kuligowski J, Carrion D, Quintas G, et al. Direct determination of polymerised triacylglycerides in deep-frying vegetable oil by near infrared spectroscopy using Partial Least Squares regression. Food Chem,2012,131:353-359
[83]Plans M, Simo J, Casanas F, et al. Near-infrared spectroscopy analysis of seed coats of common beans (phaseolus vulgaris L.):a potential tool for breeding and quality evaluation. J Agric Food Chem,2012,60:706-712
[84]Fox G P, O'Donnell N H, Stewart P N, et al. Estimating hydrogen cyanide in forage sorghum (Sorghum bicolor) by near-infrared spectroscopy. J Agric Food Chem,2012,60, 6183-6187
[85]Kelly J J, Barlow C H, Jinguji T M, et al. Prediction of gasoline octane numbers from near-infrared spectral features in the range 660-1215 nm. Anal Chem,1989,61:313-320
[86]Macho S, Larrechi M S. Near-infrared spectroscopy and multivariate calibration for the quantitative determination of certain properties in the petrochemical industry. TrAC-Trends Anal Chem,2002,21:799-806
[87]Balabin R M, Safieva R Z. Gasoline classification by source and type based on near infrared (NIR) spectroscopy data. Fuel,2008,87:1096-1101
[88]Falla F S. Larini C, Le Roux G A C, et al. Characterization of crude petroleum by NIR. J Petrol Sci Eng,2006,51:127-137
[89]Fernandes H L, Raimundo I M, Pasquini C, et al. Simultaneous determination of methanol and ethanol in gasoline using NIR spectroscopy:effect of gasoline composition. Talanta, 2008,75:804-810
[90]Amat-Tosello A, Dupuy N, Kister J. Contribution of external parameter orthogonalisation for calibration transfer in short waves-Near infrared spectroscopy application to gasoline quality. Anal Chim Acta,2009,642:6-11
[91]Balabin R M, Safieva R Z, Lomakina E I. Gasoline classification using near infrared (NIR) spectroscopy data:comparison of multivariate techniques. Anal Chim Acta,2010,671: 27-35
[92]Balabin R M, Safieva R Z. Biodiesel classification by base stock type (vegetable oil) using near infrared spectroscopy data. Anal Chim Acta,2011,689:190-197
[93]Balabin R M. Near-infrared (NIR) spectroscopy for biodiesel analysis:fractional composition, iodine value, and cold filter plugging point from one vibrational spectrum. Energ Fuel,2011,25:2373-2382
[94]Reboucas M V, Brandao D S, Trindade A, et al. Chemical composition determination of complex organic-aqueous mixtures of alcohols, acetone, acetonitrile, hydrocarbons and water by near-infrared spectroscopy. Vib Spectrosc,2011,55:172-182
[95]Reboucas M V, Dos Santos J B, Domingos D, et al. Near-infrared spectroscopic prediction of chemical composition of a series of petrochemical process streams for aromatics production. Vib Spectrosc 2010,52:97-102
[96]Boog J H F, Silveira E L C, de Caland L B, et al. Determining the residual alcohol in biodiesel through its flash point. Fuel,2011,90:905-907
[97]Canha N, Felizardo P, Menezes J C, et al. Multivariate near infrared spectroscopy models for predicting the oxidative stability of biodiesel:effect of antioxidants addition. Fuel, 2012,97:352-357
[98]Pinzi S, Alonso F, Olmo J G, et al. Near infrared reflectance spectroscopy and multivariate analysis to monitor reaction products during biodiesel production. Fuel,2012,97: 354-359
[99]Zhao Y, Xu C, Zhao S, et al. Pattern recognition technology application in intelligent processing of heavy oil. Energ Fuel,2012,26:7251-7256
[100]Pontes M J C, Rocha A M J, Pimentel M F. Determining the quality of insulating oils using near infrared spectroscopy and wavelength selection. Microchemical Journal 2011, 98:254-259
[101]Blanco M, Cueva-Mestanza R, Peguero A. Controlling individual steps in the production process of paracetamol tablets by use of NIR spectroscopy. J Pharm Biomed Anal,2010, 51:797-804
[102]Alcala M, Blanco M, Bautista M, et al. On-Line monitoring of a granulation process by NIR spectroscopy. J Pharm Sci,2010,99:336-345
[103]Mantanus J, Ziemons E, Lebrun P, et al. Active content determination of non-coated pharmaceutical pellets by near infrared spectroscopy:method development, validation and reliability evaluation. Talanta,2010,80:1750-1757
[104]Grohganz H, Fonteyne M, Skibsted E, et al. Classification of lyophilised mixtures using multivariate analysis of NIR spectra. Eur J Pharm Biopharm,2010,74:406-412
[105]Shi Z Q, Anderson C A. Scattering orthogonalization of near-infrared spectra for analysis of pharmaceutical tablets. Anal Chem,2009,81:1389-1396
[106]Rosas J G, Blanco M, Gonzalez J M, et al.Quality by design approach of a pharmaceutical gel manufacturing process, part 2:near infrared monitoring of composition and physical parameters. J Pharm Sci,2011,100:4442-4451
[107]Pieters S, De Beer T, Kasper J C, et al. Near-infrared spectroscopy for in-line monitoring of protein unfolding and its interactions with lyoprotectants during freeze-drying. Anal Chem.2012,84:947-955
[108]Grohganz H, Gildemyn D, Skibsted E, et al. Rapid solid-state analysis of freeze-dried protein formulations using NIR and Raman spectroscopies. J Pharm Sci,2011,100: 2871-2875
[109]Hu Y, Macfhionnghaile P, Caron V, et al. Formation, physical stability, and quantification of process-induced disorder in cryomilled samples of a model polymorphic drug. J Pharm Sci,2013,102:93-103
[110]Koradia V, de Lemos A F F, Alleso M, et al. Phase transformations of amlodipine besylate solid forms. J Pharm Sci,2011,100:2896-2910
[111]Lopes M B, Wolff J C, Bioucas-Dias J M, et al. Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets. Anal Chem,2010,82:1462-1469
[112]Uwadaira Y, Adachi N, Dcehata A, et al. Factors affecting the accuracy of non-invasive blood glucose measurement by short-wavelength near infrared spectroscopy in the determination of the glycaemic index of foods. J Near Infrared Spectrosc,2010,18: 291-300
[113]Hirsch J C, Charpie J R, Ohye R G, et al. Near-infrared spectroscopy:what we know and what we need to know-a systematic review of the congenital heart disease literature. J Thorac Cardiovasc Surg,2009,137:154-159
[114]Pellicer A, Bravo M D. Near-infrared spectroscopy:a methodology-focused review. Semin Fetal Neonatal Med,2011,16:42-49
[115]Kim S B, Temiyasathit C, Bensalah K, et al. An effective classification procedure for diagnosis of prostate cancer in near infrared spectra. Expert Syst Appl,2010,37: 3863-3869
[116]Qi N, Zhang Z, Xiang Y, et al. Locally linear embedding method for dimensionality reduction of tissue sections of endometrial carcinoma by near infrared spectroscopy. Anal ChimActa,2012,724:12-19
[117]Sakudo A, Suganuma Y, Sakima R, et al. Diagnosis of HIV-1 infection by near-infrared spectroscopy:analysis using molecular clones of various HIV-1 subtypes. Clin Chim Acta, 2012,413:467-472
[118]Vermeij A, Van Beek A H E A, Olde Rikkert M G M, et al. Effects of aging on cerebral oxygenation during working-memory performance:a functional near-infrared spectroscopy study. Plos one,2012,7:46210
[119]Nasi T, Maki H, Kotilahti K, et al. Magnetic-stimulation-related physiological artifacts in hemodynamic near-infrared spectroscopy signals. Plos one,2011,4:24002
[120]Moros J, de Vallejuelo S F O, Gredilla A, et al. Use of reflectance infrared spectroscopy for monitoring the metal content of the estuarine sediments of the nerbioi-ibaizabal river (Metropolitan Bilbao, Bay of Biscay, Basque Country). Environ Sci Technol,2009,43: 9314-9320
[121]Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. TrAC Trends Anal Chem,2010,29: 1073-1081
[122]Chakraborty S, Weindorf D C, Zhu Y, et al. Assessing spatial variability of soil petroleum contamination using visible near-infrared diffuse reflectance spectroscopy. J Environ Monit,2012,14:2886-2892
[123]Shen J C, Shao X G. Determination of tobacco alkaloids by GC-MS using cloud point extraction as a preconcentration step. Anal Chim Acta,2006,561:83-87
[124]Majedi S M, Lee H K, Kelly B C. Chemometric analytical approach for the cloud point extraction and inductively coupled plasma mass spectrometric determination of zinc oxide nanoparticles in water samples. Anal Chem,2012,84:6546-6552
[125]Rezaee M, SsadiY. Determination of organic compounds in water using dispersive liquid-liquid miero extraction. J Chromatogr A,2006,1116:1-9
[126]Wang P, Yang X, Wang J, et al. Multi-residue method for determination of seven neonicotinoid insecticides in grains using dispersive solid-phase extraction and dispersive liquid-liquid micro-extraction by high performance liquid chromatography. Food Chem, 2012,134:1691-1698
[127]Shi Z G, Lee H K. Dispersive Liquid-Liquid Microextraction Coupled with Dispersive u-Solid-Phase Extraction for the Fast Determination of Polycyclic Aromatic Hydrocarbons in Environmental Water Samples. Anal Chem,2010,82:1540-1545
[128]St Onge L M, Dolar E, Anglim M A. Improved determination of phenobarbital, primidone, and phenytoin by use of a preparative instrument for extraction, followed by gas chromatography. Clin Chem,1979,25:1373-1376
[129]Gode D, Martin M M, Steiner F, et al. Rapid narrow band elution for on-line SPE using a novel solvent plug injection technique. Anal Bioanal Chem,2012,404:433-445
[130]Enevoldsen R, Juhler R K. Perfluorinated compounds (PFCs) in groundwater and aqueous soil extracts:using inline SPE-LC-MS/MS for screening and sorption characterization of perfluorooctane sulphonate and related compounds. Anal Bioanal Chem,2010,398: 1161-1172
[131]Bojko B, Cudjoe E, Gomez-Rios G A, et al. SPME-Quo vadis? Anal Chim Acta,2012,750: 132-151
[132]Hafez A M, Wenclawiak B W. Development of a new porous gold SPME fiber for selective and efficient extraction of dodecanethiol followed by GC-MS analysis. Anal Bioanal Chem, 2013,405:1753-1758
[133]Ho T D, Canestraro A J, Anderson J L. Ionic liquids in solid-phase microextraction:a review. Anal Chim Acta,2010,695:132-151
[134]Lehotaya S J, Son K A, Kwon H, et al. Comparison of QuEChERS sample preparation methods for the analysis of pesticide residues in fruits and vegetables. J Chromatogr A, 2010,1217:2548-2560
[135]Stubbings G, Bigwood T. The development and validation of a multiclass liquid chromatography tandem mass spectrometry (LC-MS/MS) procedure for the determination of veterinary drug residues in animal tissue using a QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe) approach. Anal Chim Acta,2009,637:68-78
[136]Jeong I S, Kwak B M, Ahn J H.Determination of pesticide residues in milk using a QuEChERS-based method developed by response surface methodology. Food Chem,2012, 133:173-181
[137]Fang G Z, Tan J, Yan X P. An ion-imprinted functionalized silica gel sorbent prepared by a surface imprinting technique combined with a sol-gel process for selective solid-phase extraction of Cadmium(II). Anal Chem,2005,77:1734-1739
[138]Shi Y, Peng D D, Shi C H, et al. Selective determination of trace 17 beta-estradiol in dairy and meat samples by molecularly imprinted solid-phase extraction and HPLC. Food Chem, 2011,126:1916-1925
[139]Ambrosini S, Shinde S, De Lorenzi E, et al. Glucuronide directed molecularly imprinted solid-phase extraction:isolation of testosterone glucuronide from its parent drug in urine. Analyst,2012,137:249-254
[140]Sattler M L, Rosenberk R S. Removal of carbonyl sulfide using activated carbon adsorption. J Air Waste Manage Assoc,2006,56:219-224
[141]Collins P G, Bradley K, Ishigami M, et al. Extreme oxygen sensitivity of electronic properties of carbon nanotubes. Science,2000,287:1801-1804
[142]曲荣君.金属离子吸附材料：制备.结构.性能.北京：化学工业出版社,2009.32-38
[143]Klika Z, Kraus L, Vopalka D. Cesium uptake from aqueous solutions by bentonite:a comparison of multicomponent sorption with ion-exchange models. Langmuir,2007,23: 1227-1233
[144]Slavica L, Ivona J, Dusan J. Adsorption of Pb2+, Cd2+and Sr2* ions onto natural and acid-activated sepiolites. Appl Clay Sci,2007,37:47-57
[145]Chao Y F, Lee J J, Wang S L. Preferential adsorption of 2,4-dichlorophenoxyacetate from associated binary-solute aqueous systems by Mg/Al-NO3 layered double hydroxides with different nitrate orientations. J Hazard Mater,2009,165:846-852
[146]Wang H, Xiang X, Li F. Facile synthesis and novel electrocatalytic performance of nanostructured Ni-Al layered double hydroxide/carbon nanotube composites, J Mater Chem,2010,20:3944-3952
[147]Chen X, Wang Q. Shen J M, et al. Adsorption of leucine-rich Amelogenin protein on hydroxyapatite (001) surface through-COO-claws. J Phys Chem C,2007,111:1284-1290
[148]Braschi I, Blasioli S, Gigli L. Removal of sulfonamide antibiotics from water:Evidence of adsorption into an organophilic zeolite Y by its structural modifications. J Hazard Mater, 2010,178:218-225
[157]Puanngam M, Unob F. Preparation and use of chemically modified MCM-41 and silica gel as selective adsorbents for Hg(II) ions. J Hazard Mater,2008,154:578-587
[149]Lu X, Yin Q F, Xin Z. Powerful adsorption of silver(I) onto thiol-functionalized polysilsesquioxane microspheres. Chem Eng Sci,2010,65:6471-6477
[150]Singh B. Treatment of spent catalyst from the nitrogenous fertilizer industry-a review of the available methods of regeneration, reeovery and disposal. J Hazard Mater,2009,167: 24-37
[151]Dos Santos M, Rahim A, Fattori N, et al. Novel amperometric sensor based on mesoporous silica chemically modified with ensal copper complexes for selective and sensitive dopamine determination. Sensor Actuator B-Chem,2012,171:712-718
[152]Kresge C T, Leonowicz M E, Roth W J, et al. Ordered mesoporous molecular sieves synthesized by a liquid-crystal template mechanism. Nature,1992,359:710-712.
[153]Chen S Y, Huang C Y, Yokoi T, et al. Synthesis and catalytic activity of amino-functionalized SBA-15 materials with controllable channel lengths and amino loadings, J Mater Chem,2012,22:2233-2243
[154]Kumar U, Bandyopadhyay M. Sorption of cadmium from aqueous solution using pretreated rice husk. Bioresour Technol,2006,97:104-109
[155]Guo X, Zhang S, Shan X. Adsorption of metal ions on lignin. J Hazard Mater,2008,151: 134-142
[156]Zhang X L, Niu H Y, Cai Y Q, et al. Chitosan-coated octadecyl-functionalized magnetite nanoparticles:preparation and application in extraction of trace pollutants from environmental water samples. Anal Chem,2010,82:2363-2371
[157]Popat A, S B Hartono, Stahr F, et al. Mesoporous silica nanoparticles for bioadsorption, enzyme immobilisation, and delivery carriers. Nanoscale,2011,3:2801-2818
[1]Islam A, Laskar M A, Ahmad A. Characterization of a novel chelating resin of enhanced hydrophilicity and its analytical utility for preconcetration of trace metal ions. Talanta, 2010,81:1772-1780
[2]Kara D, Fisher A, Hill S J. Determination of trace heavy metals in soil and sediments by atomic spectrometry following preconcentration with Schiff bases on Amberlite XAD-4. J Hazard Mater,2009,165:1165-1169
[3]Li Z H, Chang X J, Zou X J, et al. Chemically-modified activated carbon with ethylenediamine for selective solid-phase extraction and preconcentration of metal ions. Anal Chim Acta,2009,632:272-277
[4]Lagadic IL, Mitchell M K, Payne B D. Highly effective adsorption of heavy metal ions by a thiol-functionalized magnesium phyllosilicate clay. Environ Sci Technol,2001,35: 984-990
[5]Chai L Y, Li Q Z, Zhu Y H, et al. Synthesis of thiol-functionalized spent grain as a novel adsorbent for divalent metal ions. Bioresour Technol,2010,101:6269-6272
[6]Mercier L, Pinnavaia T J. A functionalized porous clay heterostructure for heavy metal ion (Hg2+) trapping. Micropor Mesopor Mater,1998,20:101-106
[7]Lu X, Yin Q F, Xin Z. Powerful adsorption of silver(I) onto thiol-functionalized polysilsesquioxane microspheres. Chem Eng Sci,2010,65:6471-6477
[8]Miller C R, Vogel R, Trau M. Functionalized organosilica microspheres via a novel emulsion-based route, Langmuir,2005,21:9733-9740
[9]Pyrzynska K. Carbon nanostructures for separation, preconcentration and speciation of metal ions. TrAC Trends Anal Chem,2010,29:718-727
[10]Moros J, Garrigues S, de la Guardia M. Vibrational spectroscopy provides a green tool for multi-component analysis. TrAC-Trends Anal Chem,2010,29:578-591
[11]Blanco M, Villarroya I, NIR spectroscopy:a rapid-response analytical tool. TrAC-Trends Anal Chem,2002,21:240-250
[12]Xia X Q, Mao Y Q, Ji J, et al. Reflectance spectroscopy study of Cd contamination in the sediments of the Changjiang River, China. Environ Sci Technol,2007,41:3449-3454
[13]Kooistra L; Wehrens R, Leuven R S E W, et al. Possibilities of visible-near-infrared spectroscopy for the assessment of soil contamination in river floodplains. Anal Chim Acta,2001,446:97-105
[14]Chen G P, Mei Y, Du Y P, et al. Micro near infrared spectroscopy (MicroNIRS) based on on-line enrichment:determination of trace copper in water using glycidyl methacrylate-based monolithic material. Anal Chim Acta,2010,670:39-43
[15]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[16]Huang Z X, Tao W, Du Y P, et al. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Chemom Intell Lab Syst,2009,98:195-200
[17]Li J H, Cai W S, Shao X G, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay.Talanta,2011,84:679-683
[18]Ning Y, Li J H, Shao X G, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[19]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[1]Blanco M, Villarroya I, NIR spectroscopy:a rapid-response analytical tool. Trac Trends Anal Chem,2002,21:240-250
[2]Moros J, Garrigues S, de la Guardia M. Vibrational spectroscopy provides a green tool for multi-component analysis. TrAC-Trends Anal Chem,2010,29:578-591
[3]刘建学.实用近红外光谱分析技术.北京：科学出版社,2008：26
[4]Rutan S C, de Noord O E, Andrea R R, Characterization of the sources of variation affecting Near-Infrared Spectroscopy Using Chemometric Methods. Anal Chem.1998,70: 3198-3201
[5]Eddy C V, Flanigan M, Arnold M A, et al. Near-infrared spectroscopic measurement of urea in dialysate samples collected during hemodialysis treatments. Appl Spectrosc,2003, 57:1230-1235
[6]Chen J, Arnold M A, Small G W, et al. Comparison of combination and first overtone spectral regions for near-infrared calibration models for glucose and other biomolecules in aqueous solutions. Anal Chem,2004,76:5405-5413
[7]Arnold M A, Small G W, Xiang D, et al. Pure component selectivity analysis of multivariate calibration models from near-infrared spectra solutions. Anal Chem,2004,76: 2583-2590
[8]Mittermayr C R, Tan H W, Brown S D, et al. Robust calibration with respect to background variation. Appl Spectrosc,2001,55:827-833
[7]Lima K M G, Jr Raimundo I M, Pimentel M F, et al. Improving the detection limits of near infrared spectroscopy in the determination of aromatic hydrocarbons in water employing a silicone sensing phase. Sensor Actuator B-Chem,2007,125:229-233
[8]Albuquerque J S, Pimentel M F, Silva V L, et al. Silicone sensing phase for detection of aromatic hydrocarbons in water employing near-infrared spectroscopy. Anal Chem,2005, 77:72-77
[9]Du Y P, Wei X M, Xie H P, et al. An enrichment device of silica-based monolithic material and its application to determine micro carbaryl by NIR. Chin Chem Lett,2009,20: 469-472
[10]Huang Z X, Tao W, Du Y. P, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water. Chemom Intell Lab Syst,2009,98:195-200
[11]Chen G P, Mei Y, Du Y P, et al. Micro near infrared spectroscopy (MicroNIRS) based on on-line enrichment:determination of trace copper in water using glycidyl methacrylate-based monolithic material. Anal Chim Acta,2010,670:39-43
[12]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[13]Li J H, Zhang Y, Cai W S, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay. Talanta,2011,84:679-683
[14]Ning Y, Li J H, Cai W S, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[15]Zhang Y, Hao Y, Cai W S, et al. Simultaneous determination of phenol and p-nitrophenol in wastewater using near-infrared diffuse reflectance spectroscopy with adsorption preconcentration. Anal Method,2011,3:703-708
[16]Yang Y F, Cai W S, Shao X G, et al. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy. Talanta, 2012,99,871-874
[17]Hao Y, Cai W S, Shao X G. A strategy for enhancing the quantitative determination ability of the diffuse reflectance near-infrared spectroscopy. Spectrochim Acta A,2009,72: 115-119
[18]Kok-Hui G, Teik-Thye L, Dong Z L. Application of layered double hydroxides for removal of oxyanions:a review. Water Res,2008,42:1343-1368
[19]Corami A, Mignardi S, Ferrini V, Cadmium removal from single-and multi-metal (Cd2+, Pb2+, Zn2+, Cu2+) solutions by sorption on hydroxyapatite. J Colloid Interface Sci.2008, 317:402-408
[20]Legrouri A, Lakraimi M, Barroug A, et al. Removal of the herbicide 2, 4-dichIorophenoxyacetate from water to zinc-aluminium-chloride layered double hydroxides. Water Res,2005,39:3441-3448
[21]Mavropoulos E, Rossi A M, Costra A. Studies on the mechanisms of lead immobilization by hydroxyapatite. Environ Sci Technol,2002,36:1625-1629
[22]Valente J S, Tzompantzi F, Gomez R. Adsorption and photocatalytic degradation of phenol and 2,4-dichlorophenoxiacetic acid by Mg-Zn-Al layered double hydroxides. Appl Catal B,2009,90:330-338
[23]Wang H, Xiang X, Li F. Facile synthesis and novel electrocatalytic performance of nanostructured Ni-Al layered double hydroxide/carbon nanotube composites, J Mater Chem,2010,20,3944-3952
[24]Shao X G, Leung A K M, Chau F T. Wavelets:a new trend in chemistry. Ace Chem Res, 2003,36:276-283.
[25]Chen D, Shao X G, Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[26]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[27]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:an application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[28]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[29]Fearn T, Riccioli C, Garrido-Varo A, et al. On the geometry of SNV and MSC. Chemom Intell Lab Syst,2009,96:22-26
[30]Cai W S, Li Y K, Shao X G. A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra. Chemom Intell Lab Syst, 2008,90:188-194.
[31]Xu H, Liu Z C, Cai W S, et al. A wavelength selection method based on randomization test for near-infrared spectral analysis. Chemom Intell Lab Syst,2009,97:189-193
[32]Li H D, Liang Y Z, Xu Q S, et al. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. Anal Chim Acta,2009, 648:77-84
[33]Centner V, Massart D L, de Noord O E, et al. Elimination of uninformative variables for multivariate calibration. Anal Chem,1996,68:3851-3858
[34]Chao Y F, Lee J J, Wang S L. Preferential adsorption of 2,4-dichlorophenoxyacetate from associated binary-solute aqueous systems by Mg/Al-NO3 layered double hydroxides with different nitrate orientations. J Hazard Mater,2009,165:846-852
[35]Wold S, Sjostrom M, Eriksson L. PLS-regression:a basic tool of chemometrics. Chemom Intell Lab Syst,2001,58:109-130
[36]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[37]Haaland D M, Thomas E V. Partial least squares methods for spectral analysis 1:relation to other multivariate calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[1]Chen X T, Xiang Y, Tong A J. Facile, sensitive and selective fluorescence turn-on detection of HSA/BSA in aqueous solution utilizing 2,4-dihydroxyl-3-iodo salicylaldehyde azine. Talanta,2010,80:1952-1958
[2]Deng Y H, Zhang Z X, Zhang H S, et al. Development of an N-hydroxysuccinimidyl fluorescein-O-acetate-labeled probe for competitive capillary electrophoretic immunoassay of bovine serum albumin. Talanta,2010,81:1806-1809
[3]Liu X Y, Wu X, Yang J H. Protein determination using methylene blue in a synchronous fluorescence technique. Talanta,2010,81:760-765
[4]Wang Y, Li J H. A carbon nanotubes assisted strategy for insulin detection and insulin proteolysis assay. Anal Chim Acta,2009,650:49-53
[5]Tanaka T, Izawa K, Okochi M, et al. On-chip type cation-exchange chromatography with ferrocene-labeled anti-hemoglobin antibody and electrochemical detector for determination of hemoglobin A,c level. Anal Chim Acta,2009:638:186-190
[6]Sexton L T, Mukaibo H, Katira P, et al. An adsorption-based model for pulse duration in resistive-pulse protein sensing. J Am Chem Soc,2010,132:6755-6763
[7]Terenghi M, Elviri L, Careri M, et al. Multiplexed determination of protein biomarkers using metal-tagged antibodies and size exclusion chromatography-inductively coupled plasma mass spectrometry. Anal Chem,2009,81:9440-9448
[8]Chiang C K, Yang Z, Lin Y W, et al. Detection of proteins and protein-ligand complexes using HgTe nanostructure matrixes in surface-assisted laser desorption/ionization mass spectrometry. Anal Chem,2010,82:4543-4550
[9]Wang G, Johnson A J, Kaltashov I A, et al. Evaluation of electrospray ionization mass spectrometry as a tool for characterization of small soluble protein aggregates. Anal Chem, 2012,84:1718-1724
[10]Freeman R, Finder T, Gill R. Probing protein kinase (CK2) and alkaline phosphatase with CdSe/ZnS quantum dots. Nano Lett,2010,10:2192-2196
[11]Wu P, Miao L N, Wang H F, et al. A multidimensional sensing device for the discrimination of proteins based on manganese-doped ZnS quantum dots. Angew Chem Int Ed,2011,50:8118-8121
[12]Ma W, Zhang Y, Li L, et al. Ti4+-Immobilized magnetic composite microspheres for highly selective enrichment of phosphopeptides. Adv Funct Mater,2013,23:107-115
[13]Zhang X, He X, Chen L, et al. Boronic acid modified magnetic nanoparticles for enrichment of glycoproteins via azide and alkyne click chemistry. J Mater Chem,2012,22: 16520-16526
[14]Lin Z, Xia Z, Zheng J, et al. Synthesis of uniformly sized molecularly imprinted polymer-coated silica nanoparticles for selective recognition and enrichment of lysozyme. J Mater Chem,2012,22:17914-17922
[15]Najam-ul-Haqa M, Jabeen F, Hussain D, et al. Versatile nanocomposites in phosphoproteomics:a review. Anal Chim Acta,2012,747:7-18
[16]Lu J, Qi D, Deng C, et al. Hydrothermal synthesis of α-Fe2O3@SnO2 core-shell nanotubes for highly selective enrichment of phosphopeptides for mass spectrometry analysis. Nanoscale,2010,2:1892-1900
[17]Wu H C, Wang T W, Sun J S, et al. A novel biomagnetic nanoparticle based on hydroxyapatite. Nanotech,2007,18:165601
[18]Hou C H, Hou S M, Hsueh Y S, et al. The in vivo performance of biomagnetic hydroxyapatite nanoparticles in cancer hyperthermia therapy. Biomaterials,2009,30: 3956-3960
[19]Wu H C, Wang T W, Bohn M C, et al. Novel magnetic hydroxyapatite nanoparticles as non-Viral vectors for the glial cell line-derived neurotrophic factor gene. Adv Funct Mater, 2010,20:67-77
[21]Alishahi A, Farahmand H, Cozzolino D, et al. Identification of transgenic foods using NIR spectroscopy:a review. Spectrochim Acta A,2010,75:1-7
[22]Jinendra B, Tamaki K, Kuroki S, et al. Near infrared spectroscopy and aquaphotomics: Novel approach for rapid in vivo diagnosis of virus infected soybean. Biochem Bioph Res Co,2010,397:685-690
[23]Mantanus J, Ziemons E, Lebrun P, et al. Moisture content determination of pharmaceutical pellets by near infrared spectroscopy:method development and validation. Anal Chim Acta,2009,642:186-192
[24]Kauppinen A, Toiviainen M, Korhonen O, et al. In-line multipoint near-infrared spectroscopy for moisture content quantification during freeze-drying. Anal Chem,2013, 85:2377-2384
[25]Reboucas M V, Brandao D S, Trindade A, et al. Chemical composition determination of complex organic-aqueous mixtures of alcohols, acetone, acetonitrile, hydrocarbons and water by near-infrared spectroscopy. Vib Spectrosc,2011,55:172-182
[26]Balabin R M, Lomakina E I, Safieva R Z, et al. Neural network (ANN) approach to biodiesel analysis:analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel,2011,90:2007-2015
[27]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[28]Chen D, Shao X G, Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[29]Xie S F, Xiang B R, Yu L Y, et al. Tailoring noise frequency spectrum to improve NIR determinations. Talanta,2009,80:895-902
[30]Rinnan A, van den Berg F, Balling S. Engelsen Review of the most common pre-processing techniques for near-infrared spectra. Trac-Trend Anal Chem,2009,28: 1201-1218
[31]刘建学.实用近红外光谱分析技术.北京：科学出版社,2008：26
[32]Huang Z X, Tao W, Du Y P, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water. Chemom Intell Lab Syst,2009,98:195-200
[33]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[34]Li J H, Zhang Y, Cai W S, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay. Talanta,2011,84:679-683
[35]Ning Y, Li J H, Cai W S, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[36]Zhang Y, Hao Y, Cai W S, et al. Simultaneous determination of phenol and p-nitrophenol in wastewater using near-infrared diffuse reflectance spectroscopy with adsorption preconcentration. Anal Method,2011,3:703-708
[37]Du Y P, Wei X M, Xie H P, et al. An enrichment device of silica-based monolithic material and its application to determine micro carbaryl by NIR. Chin Chem Lett,2009,20: 469-472
[38]Albuquerque J S, Pimentel M F, Silva V L, et al. Silicone sensing phase for detection of aromatic hydrocarbons in water employing near-infrared spectroscopy. Anal Chem,2005, 77:72-77
[39]Yang Y F, Cai W S, Shao X G, et al. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy. Talanta, 2012,99,871-874
[40]Feng Y, Gong J L, Zeng G M, et al. Adsorption of Cd (Ⅱ) and Zn (Ⅱ) from aqueous solutions using magnetic hydroxyapatite nanoparticles as adsorbents. Chem Eng J,2010, 162:487-494
[41]Wold S, Sjostrom M, Eriksson L. PLS-regression:a basic tool of chemometrics. Chemom Intell Lab Syst,2001,58:109-130
[42]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[43]Haaland D M, Thomas E V. Partial least squares methods for spectral analysis 1:relation to other multivariate calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[44]Geladi P, MacDougall D, Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc,1985,39:491-500
[45]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[46]Liese H. An infrared absorption analysis of magnetite. Am Miner,1967,52:1198-4205
[1]Meister A. Glutathione metabolism and its selective modification, J Biol Chem,1988,263: 17205-17208
[2]Schulz J B, Lindenau J, Seyfried J, et al. Glutathione, oxidative stress and neurodegeneration. Eur J Biochem,2000,267:4904-4911
[3]Hwang C, Sinskey A J, Lodish H F. Oxidized redox state of glutathione in the endoplasmic reticulum. Science,1992,257:1496-1502
[4]Lu S C. Regulation of glutathione synthesis. Mol Aspects Med,2009,30:42-59
[5]Townsend D M, Tew K D, Tapiero H. The antioxidant role of selenium and seleno-compounds. Biomed Pharmacother,2003,57:134-144
[6]Herzenberg L A, De Rosa S C, Dubs J G, et al. Glutathione deficiency is associated with impaired survival in HIV disease. ProcNatl Acad Sci,1997,94:1967-1972
[7]Cecchi C, Latorraca S, Sorbi S, et al. Gluthatione level is altered in lymphoblasts from patients with familial Alzheimer's disease. Neurosci Lett,1999,275:152-154
[8]Altomare E, Vendemiale G, Albano O. Hepatic glutathione content in patients with alcoholic and non alcoholic liver diseases. Life Sci,1988,43:991-998
[9]Zhang Y, Li Y, Yan X P. Photoactivated CdTe/CdSe quantum dots as a near infrared fluorescent probe for detecting biothiols in biological fluids. Anal Chem,2009,81: 5001-5007
[10]Liu J, Bao C, Zhong X, et al. Highly selective detection of glutathione using a quantum-dot-based OFF-ON fluorescent probe. Chem Commun,2010,46:2971-2973
[11]Chen X, Zhou Y, Peng X. Fluorescent and colorimetric probes for detection of thiols. Chem Soc Rev,2010,39:2120-2135
[12]Raoof J B, Ojani R, Baghayeri M. Simultaneous electrochemical determination of glutathione and tryptophan on a nano-TiO2ferrocene carboxylic acid modified carbon paste electrode. Sensor Actuat B-Chem,2009,143:261-269
[13]Ferin R, Pavao L M, Baptista J. Methodology for a rapid and simultaneous determination of total cysteine, homocysteine, cysteinylglycine and glutathione in plasma by isocratic RP-HPLC. J Chromatogr B,2012,911:15-20
[14]Niu L Y, Guan Y S, Chen Y Z. BODIPY-Based ratiometric fluorescent sensor for highly selective detection of glutathione over cysteine and homocysteine. J Am Chem Soc,2012, 134:18928-18931
[15]Lee M H, Han J H, Kwon P S, et al. Hepatocyte-targeting single galactose-appended naphthalimide:a tool for intracellular thiol imaging in vivo. J Am Chem Soc,2012,134: 1316-1322
[16]Lim C S, Masanta G, Kim H J, et al. Ratiometric detection of mitochondrial thiols with a two-photon fluorescent probe. J Am Chem Soc,2011,133:11132-11135
[17]Sun Y Q, Chen M, Liu J, et al. Nitroolefin-based coumarin as a colorimetric and fluorescent dual probe for biothiols. Chem Commun,2011,47:11029-11031
[18]Yi L, Li H, Sun L, et al. A highly sensitive fluorescence probe for fast thiol-quantification assay of glutathione reductase. Angew Chem Int Ed,2009,48:4034-4037
[19]Cheng S H, Lee C H, Chen M C, et al. Tri-functionalization of mesoporous silica nanoparticles for comprehensive cancer theranostics-the trio of imaging, targeting and therapy. J Mater Chem,2010,20:6149-6157
[20]Dos Santos M, Rahim A, Fattori N, et al. Novel amperometric sensor based on mesoporous silica chemically modified with ensal copper complexes for selective and sensitive dopamine determination. Sensor Actuat B-Chem,2012,171:712-718
[21]Slowing I I, Vivero-Escoto J L, Trewyn B G, et al. Mesoporous silica nanoparticles: structural design and applications. J Mater Chem,2010,20:7924-7937
[22]Lu Y, Lu G, Wang Y, et al. Functionalization of cubic Ia3d mesoporous silica for immobilization of penicillin G acylase. Adv Funct Mater,2007,17:2160-2166
[23]Salis A, Meloni D, Ligas S, et al. Physical and chemical adsorption of Mucor javanicus lipase on SBA-15 mesoporous silica. Langmuir,2005,21:5511-5516
[24]Lee C H, Lin T S, Mou C Y. Mesoporous materials for encapsulating enzymes. Nano Today,2009,4:165-179
[25]Popat A, Hartono S B, Stahr F, et al. Mesoporous silica nanoparticles for bioadsorption, enzyme immobilisation, and delivery carriers. Nanoscale,2011,3:2801-2818
[26]Alishahi A, Farahmand H, Cozzolino D, et al. Identification of transgenic foods using N1R spectroscopy:a review. Spectrochim Acta A,2010,75:1-7
[27]Jinendra B, Tamaki K, Kuroki S, et al. Near infrared spectroscopy and aquaphotomics: novel approach for rapid in vivo diagnosis of virus infected soybean. Biochem Bioph Res Co,2010,397:685-690
[28]Mantanus J, Ziemons E, Lebrun P, et al. Moisture content determination of pharmaceutical pellets by near infrared spectroscopy:method development and validation. Anal Chim Acta,2009,642:186-192
[29]Kauppinen A, Toiviainen M, Korhonen O, et al. In-line multipoint near-infrared spectroscopy for moisture content quantification during freeze-drying. Anal Chem,2013, 85:2377-2384
[30]Balabin-R M, Lomakina E 1, Safieva R Z, et al. Neural network (ANN) approach to biodiesel analysis:analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel,2011,90:2007-2015
[31]Sakudo A, Suganuma Y, Sakima R, et al. Diagnosis of HIV-1 infection by near-infrared spectroscopy:Analysis using molecular clones of various HIV-1 subtypes. Clin Chim Acta,2012,413:467-472
[32]Burggraeve A, Silva A F T, VanDen Kerkhof T, et al. Development of a fluid bed granulation process control strategy based on real-time process and product measurements. Talanta,2012,100:293-302
[33]Qia N, Zhang Z, Xiang Y, et al. Locally linear embedding method for dimensionality reduction of tissue sections of endometrial carcinoma by near infrared spectroscopy. Anal Chim Acta,2012,724:12-19
[34]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[35]Chen D, Shao X G, Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[36]Xie S F, Xiang B R, Yu L Y, et al. Tailoring noise frequency spectrum to improve NIR determinations. Talanta,2009,80:895-902
[37]Rinnan A, van den Berg F, Engelsen B S. Review of the most common pre-processing techniques for near-infrared spectra. Trac-Trend Anal Chem,2009,28:1201-1218
[38]Huang Z X, Tao W, Du Y P, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water. Chemom Intell Lab Syst,2009,98:195-200
[39]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[40]Li J H, Zhang Y, Cai W S, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay. Talanta,2011,84:679-683
[41]Ning Y, Li J H, Cai W S, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[42]Zhang Y, Hao Y, Cai W S, et al. Simultaneous determination of phenol and p-nitrophenol in wastewater using near-infrared diffuse reflectance spectroscopy with adsorption preconcentration. Anal Method,2011,3:703-708
[43]Du Y P, Wei X M, Xie H P, et al. An enrichment device of silica-based monolithic material and its application to determine micro carbaryl by NIR. Chin Chem Lett,2009,20: 469-472
[44]Albuquerque J S, Pimentel M F, Silva V L, et al. Silicone sensing phase for detection of aromatic hydrocarbons in water employing near-infrared spectroscopy. Anal Chem,2005, 77:72-77
[45]Yang Y F, Cai W S, Shao X G, et al. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy. Talanta, 2012,99:871-874
[46]Gao G, Lange D, Hilpert K, et al. The biocompatibility and biofilm resistance of implant coatings based on hydrophilic polymer brushes conjugated with antimicrobial peptides. Biomaterials,2011,32:3899-3909
[47]Hiyoshi N, Yogo K, Yashima T. Adsorption characteristics of carbon dioxide on organically functionalized SBA-15. Micropor Mesopop Mat,2005,84:357-365
[48]Wold S, Sjostrom M, Eriksson L. PLS-regression:a basic tool of chemometrics. Chemom Intell Lab Syst,2001,58:109-130
[49]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[50]Haaland D M, Thomas E V. Partial least squares methods for spectral analysis 1:relation to other multivariate calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[51]Geladi P, MacDougall D, Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc,1985,39:491-500
[52]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[53]Koehler P. Concentrations of low and high molecular weight thiols in wheat dough as affected by different concentrations of ascorbic acid. J Agric Food Chem,2003,51: 4948-4953
[1]严衍禄,陈斌,朱大洲等.近红外光谱分析的原理,技术与应用.北京：中国轻工业出版社,2013：178-272
[2]陆婉珍.现代近红外光谱分析技术.北京：中国石化出版社,2007：21-31
[3]吴瑾光.近代傅里叶变换红外光谱分析技术及应用.北京：科学技术文献出版社,1994
[4]Chen J, Arnold M A, Small G W, Comparison of combination and first overtone spectral regions for near-infrared calibration models for glucose and other biomolecules in aqueous solutions. Anal Chem.2004,76:5405-5413
[5]Berntsson O, Danielsson L G, Folestad S. Estimation of effective sample size when analysing powders with diffuse reflectance near-infrared spectrometry. Anal Chim Acta, 1998,364:243-251
[6]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:An application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[7]Brimmer P J, Griffiths P R. Effect of absorbing matrices on diffuse reflectance infrared spectra. Anal Chem,1986,58:2179-2184
[8]Sirita J, Phanichphant S, Meunier F C. Quantitative analysis of adsorbate concentrations by diffuse reflectance FT-IR. Anal Chem,2007,79:3912-3918
[9]Kubelka P. New contributions to the optics of intensely light-scattering materials. Part I. J Optical Soc Am,1948,38:448-457
[10]Kubelka P, Munk F. An article on optics of paint layers. J Z tech Physik,1931,12: 593-601
[11]梁逸曾,俞汝勤.化学计量学.北京：高等教育出版社,2003
[12]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[13]Archibald D D, Akin D E. Use of spectral window preprocessing for selecting near-infrared reflectance wavelengths for determination of the degree of enzymatic retting of intact flax stems. Vib Spectrosc,2000,23:169-180
[14]Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem,1964,36:1627-1639
[15]Cappadona S, Levander F, Jansson M, et al. Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry. Anal Chem,2008,80:4960-4968
[16]Eilers P H C. A perfect smoother. Anal Chem,2003,76:3631-3636
[17]Eilers P H C. Parametric time warping. Anal Chem,2004,76:404-411
[18]Jirasek A, Schulze G, Yu M M L, et al. Accuracy and precision of manual baseline determination. Appl Spectrosc,2004,58:1488-1499
[19]Yeow Y L, Leon Y K. A general computational method for converting normal spectra into derivative spectra. Appl Spectrosc,2005,59:584-592
[20]Ma C X, Shao X G Continuous wavelet transform applied to removing the fluctuating background in near-infrared spectra. J Chem Inf Comput Sci,2004,44:907-911
[21]Geladi P, MacDougall D, Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc,1985,39:491-500
[22]Samuels A C, Zhu C J, Williams B R, et al. Improving the linearity of infrared diffuse reflection spectroscopy data for quantitative analysis:An application in quantifying organophosphorus contamination in soil. Anal Chem,2006,78:408-415
[23]Feudale R N, Woody N A, Tan H, et al. Transfer of multivariate calibration models:a review. Chemometr Intell Lab Syst,1995,29:233-241
[24]Martens H, Pram Nielsen J, Balling Engelsen S. Light scattering and light absorbance separated by extended multiplicative signal correction, application to near-infrared transmission analysis of powder mixtures. Anal Chem,2003,75:394-404
[25]Gallagher N B, Blake T A, Gassman P L. Application of extended inverse scatter correction to mid-infrared reflectance spectra of soil. J Chemometr,2005,19:271-281
[26]Windig W, Shaver J, Bro R. Loopy MSC:A simple way to improve multiplicative scatter correction. Appl Spectrosc,2008,62:1153-1159
[27]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[28]Fearn T, Riccioli C, Garrido-Varo A, et al. On the geometry of SNV and MSC. Chemom Intell Lab Syst,2009,96:22-26
[29]Jakubowska M. Inverse continuous wavelet transform in voltammetry. Chemom Intell Lab Syst,2008,94:131-139
[30]Shao X G, Leung A K M, Chau F T. Wavelet:A new trend in chemistry. Accounts Chem Res,2003,36:276-283
[31]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[32]Cappadona S, Levander F, Jansson M, et al. Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry. Anal Chem,2008,80:4960-4968
[33]Forina M, Oliveri P, Casale M. Alternative common bases and signal compression for wavelets application in chemometrics. Anal Bioanal Chem,2011,339:1929-1939
[34]Chen D, Shao X G, Hu B, et al. A background and noise elimination method for quantitative calibration of near infrared spectra. Anal Chim Acta,2004,511:37-45
[35]Chen D, Wang F, Shao X G, et al. Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra. Analyst,2003,128: 1200-1203
[36]Shao X G, Cai W S. Resolution of multicomponent chromatograms by window factor analysis with wavelet transform preprocessing. J Chemometr,1998,12:85-93
[37]Zhang Z M, Chen S, Liang Y Z, et al. An intelligent background-correction algorithm for highly fluorescent samples in Raman spectroscopy. J Raman Spectrosc,2010,41:659-669
[38]Zhang Z M, Chen S, Liang Y Z. Peak alignment using wavelet pattern matching and differential evolution. Talanta,2011,83:1108-1117
[39]Jr Harrell F E, Lee K L, Mark D B. Multivariable prognostic models:Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med,1996,15:361-387
[40]Duranmeras I, Delapena A M, Espinosamansilla A, et al. Multicomponent determination of flavor enhancers in food preparations by partial least-squares and principal component regression modeling of spectrophotometric data. Analyst,1993,118:807-813
[41]Goodarzi M, Olivieri A C, Freitas M P. Principal component analysis-adaptive neuro-fuzzy inference systems (ANFISs) for the simultaneous spectrophotometric determination of three metals in water samples. Spectrochim Acta A,2009,73:608-614
[42]Hemmateenejad B, Elyasi M. A segmented principal component analysis-regression approach to quantitative structure-activity relationship modeling. Anal China Acta,2009, 646:30-38
[43]Meissl K; Smidt E, Schwanninger M, et al. Determination of humic acids content in composts by means of near-and mid-infrared spectroscopy and partial least squares regression models. Appl Spectrosc,2008,62:873-880
[44]Cai J R, Chen Q S, Wan X M, et al. Determination of total volatile basic nitrogen (TVB-N) content and Warner-Bratzler shear force (WBSF) in pork using Fourier transform near infrared (FT-NIR) spectroscopy. Food Chem,2011,126:1354-1360
[45]Rubert-Nason K F, Holeski L M, Couture J J, et al. Rapid phytochemical analysis of birch (Betula) and poplar (Populus) foliage by near-infrared reflectance spectroscopy. Anal Bioanal Chem,2013,405:1333-1344
[46]Picard R R, Cook R D. Cross-validation of regression models. J Am Stat Assoc,1984,79: 575-583
[47]-Xu Q S, Liang Y Z. Monte Carlo cross validation. Chemometr Intell Lab Syst,2001,56: 1-11
[48]Wongravee K, Lloyd G R, Hall J, et al. Monte-Carlo methods for determining optimal number of significant variables. Application to mouse urinary profiles. Metabolomics, 2009,5:387-406
[49]Haaland D M, Thomas E V. Partial least-squares methods for spectral analyses.1. Relation to other quantitative calibration methods and the extraction of qualitative information. AnalChem,1988,60:1193-1202
[50]Chen L, Wang J, Ye Z, et al. Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem,2012,135:338-342
[51]Balabin R M, Lomakina E I, Safieva R Z. Neural network (ANN) approach to biodiesel analysis:analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel,2011,90:2007-2015
[52]Thissen U, Pepers M, Ustun B, et al. Comparing support vector machines to PLS for spectral regression applications. Chemom Intell Lab Syst,2004,73:169-179
[53]Chauchard F, Cogdill R, Roussel S, et al. Application of LS-SVM to non-linear phenomena in NIR spectroscopy:development of a robust and portable sensor for acidity prediction in grapes. Chemom Intell Lab Syst,2004,71:141-150.
[54]Thissen U, Ustun B, Meissen W J, et al. Multivariate calibration with least-squares support vector machines. Anal Chem,2004,76:3099-3105
[55]Norris K H, Hart J R. Direct spectrophotometric determination of moisture cotent of grain and seeds. Principles and methods of measuring moisture in liquids and solids. 1965:19-25
[56]Lu G Q, Huang H H, Zhang D P. Prediction of sweetpotato starch physiochemical quality and pasting properties using near-infrared reflectance spectroscopy. Food Chem,2006,94: 632-639
[57]Liu F, Zhang F, Jin Z L, et al. Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near-infrared spectroscopy. Anal Chim Acta,2008,629:56-65
[58]Shen F, Niu X, Yang D, et al. Determination of amino acids in Chinese Rice Wine by fourier transform near-infrared spectroscopy. J Agric Food Chem,2010,58:9809-9816
[59]Khodabux K, Sophia M, L'Omelette S, et al. Chemical and near-infrared determination of moisture, fat and protein in tuna fishes. Food Chem,2007,102:669-675
[60]Uddin M, Okazaki E, Fukushima H, et al. Nondestructive determination of water and protein in surimi by near-infrared spectroscopy. Food Chem,2006,96:491-495
[61]Brenna O V, Berardo N. Application of near-infrared reflectance spectroscopy (NIRS) to the evaluation of carotenoids content in maize. J Agric Food Chem,2004,52:5577-5582
[62]Moron A, Cozzolino D, Determination of macro elements in alfalfa and white clover by near-infrared reflectance spectroscopy. J Agric Sci,2002,139:413-423
[63]Ng C L, Wehling R L, Cuppett S L. Method for determining frying oil degradation-by near-infrared spectroscopy. J Agric Food Chem,2007,55:593-597
[64]Delwiche S R, Bean M M, Miller R E, et al. Apparent amylose content of milled rice by near-infrared reflectance spectrophotometry. Cereal Chem,1995,72:182-187
[65]Cozzolino D, Smyth H E, Gishen M. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal Origins. J Agric Food Chem,2003,51: 7703-7708
[66]Liu L, Cozzolino D, Cynkar W U, et al. Geographic classification of Spanish and Australian Tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis. J Agric Food Chem,2006,54:6754-6759
[67]Xie L J, Ying Y B, Ying T J, et al. Discrimination of transgenic tomatoes based on visible/near-infrared spectra. Anal Chim Acta,2007,584:379-384
[68]Jiao Z, Si X X, Liu G K, et al. Unintended compositional changes in transgenic rice seeds (oryza sativa L.) studied by spectral and chromatographic analysis coupled with chemometrics methods. J Agric Food Chem,2010,58:1746-1754
[69]Li H, Lv X W, Wang J, et al. Quantitative determination of soybean meal content in compound feeds:comparison of near-infrared spectroscopy and real-time PCR. Anal Bioanal Chem,2007,389:2313-2322
[70]Van Raamsdonk L W D, Von Hoist C, Baeten V, et al. New developments in the detection and identification of processed animal proteins in feeds. Anim Feed Sci Technol,2007, 133:63-83
[71]Gaspardo B, Del Zotto S, Torelli E, et al. A rapid method for detection of fumonisins B1 and B2 in corn meal using Fourier transform near infrared (FT-NIR) spectroscopy implemented with integrating sphere. Food Chem,2012,135:1608-1612
[72]Tripathi S, Mishra H N. A rapid FT-NIR method for estimation of aflatoxin B1 in red chili powder. Food control,2009,20:840-849
[73]Fluckiger M, Brown M R, Ward L R, et al. Predicting glycogen concentration in the foot muscle of abalone using near infrared reflectance spectroscopy (NIRS). Food Chem,2011, 126:181-1820
[74]Shi J H; Chen Z L; Shao Y N, et al. Application of vis/NIR diffuse reflectance spectroscopy to the rapid detection and identification of tomato fruit via space mutation breeding. Spectrosc Spect Anal,2011,31:387-389
[75]Wang J, Nakano K, Ohashi S. Nondestructive evaluation of jujube quality by visible and near-infrared spectroscopy. LWT-Food Sci Technol,2011,44:1119-1125
[76]Niu X, Zhao Z, Jia K, et al. A feasibility study on quantitative analysis of glucose and fructose in lotus root powder by FT-NIR spectroscopy and chemometrics. Food Chem, 2012,133:592-597
[77]Mignani A G, Ciaccheri L, Ottevaere H, et al. Visible and near-infrared absorption spectroscopy by an integrating sphere and optical fibers for quantifying and discriminating the adulteration of extra virgin olive oil from Tuscany. Anal Bioanal Chem,2011,399: 1315-1324
[78]Ottavian M, Facco P, Fasolato L, et al. Use of near-infrared spectroscopy for fast fraud detection in seafood:application to the Authentication of Wild European Sea Bass (Dicentrarchus labrax). J Agric Food Chem,2012,60:639-648
[79]Galvis-Sanchez A C, Lopes J A, Delgadillo I, et al. Fourier transform near-infrared spectroscopy application for sea salt quality evaluation. J Agric Food Chem,2011, 59:11109-11116
[80]Chen L, Wang J, Ye Z, et al. Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. Food Chem,2012,135:338-342
[81]Ghasemi-Varnamkhasti M, Mohtasebi S S, Rodriguez-Mendez M L, et al. Screening analysis of beer ageing using near infrared spectroscopy and the Successive Projections Algorithm for variable selection. Talanta,2012,89:286-291
[82]Kuligowski J, Carrion D, Quintas G, et al. Direct determination of polymerised triacylglycerides in deep-frying vegetable oil by near infrared spectroscopy using Partial Least Squares regression. Food Chem,2012,131:353-359
[83]Plans M, Simo J, Casanas F, et al. Near-infrared spectroscopy analysis of seed coats of common beans (phaseolus vulgaris L):a potential tool for breeding and quality evaluation. J Agric Food Chem,2012,60:706-712
[84]Fox G P, O'Donnell N H, Stewart P N, et al. Estimating hydrogen cyanide in forage sorghum (Sorghum bicolor) by near-infrared spectroscopy. J Agric Food Chem,2012,60, 6183-6187
[85]Kelly J J, Barlow C H, Jinguji T M, et al. Prediction of gasoline octane numbers from near-infrared spectral features in the range 660-1215 nm. Anal Chem,1989,61:313-320
[86]Macho S, Larrechi M S. Near-infrared spectroscopy and multivariate calibration for the quantitative determination of certain properties in the petrochemical industry. TrAC-Trends Anal Chem,2002,21:799-806
[87]Balabin R M, Safieva R Z. Gasoline classification by source and type based on near infrared (NIR) spectroscopy data. Fuel,2008,87:1096-1101
[88]Falla F S. Larini C, Le Roux G A C, et al. Characterization of crude petroleum by NIR. J Petrol Sci Eng,2006,51:127-137
[89]Fernandes H L, Raimundo I M, Pasquini C, et al. Simultaneous determination of methanol and ethanol in gasoline using NIR spectroscopy:effect of gasoline composition. Talanta, 2008,75:804-810
[90]Amat-Tosello A, Dupuy N, Kister J. Contribution of external parameter orthogonalisation for calibration transfer in short waves-Near infrared spectroscopy application to gasoline quality. Anal Chim Acta,2009,642:6-11
[91]Balabin R M, Safieva R Z, Lomakina E I. Gasoline classification using near infrared (NIR) spectroscopy data:comparison of multivariate techniques. Anal Chim Acta,2010,671: 27-35
[92]Balabin R M, Safieva R Z. Biodiesel classification by base stock type (vegetable oil) using near infrared spectroscopy data. Anal Chim Acta,2011,689:190-197
[93]Balabin R M. Near-infrared (NIR) spectroscopy for biodiesel analysis:fractional composition, iodine value, and cold filter plugging point from one vibrational spectrum. Energ Fuel,2011,25:2373-2382
[94]Reboucas M V, Brandao D S, Trindade A, et al. Chemical composition determination of complex organic-aqueous mixtures of alcohols, acetone, acetonitrile, hydrocarbons and water by near-infrared spectroscopy. Vib Spectrosc,2011,55:172-182
[95]Reboucas M V, Dos Santos J B, Domingos D, et al. Near-infrared spectroscopic prediction of chemical composition of a series of petrochemical process streams for aromatics production. Vib Spectrosc 2010,52:97-102
[96]Boog J H F, Silveira E L C, de Caland L B, et al. Determining the residual alcohol in biodiesel through its flash point. Fuel,2011,90:905-907
[97]Canha N, Felizardo P, Menezes J C, et al. Multivariate near infrared spectroscopy models for predicting the oxidative stability of biodiesel:effect of antioxidants addition. Fuel, 2012,97:352-357
[98]Pinzi S, Alonso F, Olmo J G, et al. Near infrared reflectance spectroscopy and multivariate analysis to monitor reaction products during biodiesel production. Fuel,2012,97: 354-359
[99]Zhao Y, Xu C, Zhao S, et al. Pattern recognition technology application in intelligent processing of heavy oil. Energ Fuel,2012,26:7251-7256
[100]Pontes M J C, Rocha A M J, Pimentel M F. Determining the quality of insulating oils using near infrared spectroscopy and wavelength selection. Microchemical Journal 2011, 98:254-259
[101]Blanco M, Cueva-Mestanza R, Peguero A. Controlling individual steps in the production process of paracetamol tablets by use of NIR spectroscopy. J Pharm Biomed Anal,2010, 51:797-804
[102]Alcala M, Blanco M, Bautista M, et al. On-Line monitoring of a granulation process by NIR spectroscopy. J Pharm Sci,2010,99:336-345
[103]Mantanus J, Ziemons E, Lebrun P, et al. Active content determination of non-coated pharmaceutical pellets by near infrared spectroscopy:method development, validation and reliability evaluation. Talanta,2010,80:1750-1757
[104]Grohganz H, Fonteyne M, Skibsted E, et al. Classification of lyophilised mixtures using multivariate analysis of NIR spectra. Eur J Pharm Biopharm,2010,74:406-412
[105]Shi Z Q, Anderson C A. Scattering orthogonalization of near-infrared spectra for analysis of pharmaceutical tablets. Anal Chem,2009,81:1389-1396
[106]Rosas J G, Blanco M, Gonzalez J M, et al.Quality by design approach of a pharmaceutical gel manufacturing process, part 2:near infrared monitoring of composition and physical parameters. J Pharm Sci,2011,100:4442-4451
[107]Pieters S, De Beer T, Kasper J C, et al. Near-infrared spectroscopy for in-line monitoring of protein unfolding and its interactions with lyoprotectants during freeze-drying. Anal Chem.2012,84:947-955
[108]Grohganz H, Gildemyn D, Skibsted E, et al. Rapid solid-state analysis of freeze-dried protein formulations using NIR and Raman spectroscopies. J Pharm Sci,2011,100: 2871-2875
[109]Hu Y, Macfhionnghaile P, Caron V, et al. Formation, physical stability, and quantification of process-induced disorder in cryomilled samples of a model polymorphic drug. J Pharm Sci,2013,102:93-103
[110]Koradia V, de Lemos A F F, Alleso M, et al. Phase transformations of amlodipine besylate solid forms. J Pharm Sci,2011,100:2896-2910
[111]Lopes M B, Wolff J C, Bioucas-Dias J M, et al. Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets. Anal Chem,2010,82:1462-1469
[112]Uwadaira Y, Adachi N, Ikehata A, et al. Factors affecting the accuracy of non-invasive blood glucose measurement by short-wavelength near infrared spectroscopy in the determination of the glycaemic index of foods. J Near Infrared Spectrosc,2010,18: 291-300
[113]Hirsch J C, Charpie J R, Ohye R G, et al. Near-infrared spectroscopy:what we know and what we need to know-a systematic review of the congenital heart disease literature. J Thorac Cardiovasc Surg,2009,137:154-159
[114]Pellicer A, Bravo M D. Near-infrared spectroscopy:a methodology-focused review. Semin Fetal Neonatal Med,2011,16:42-49
[115]Kim S B, Temiyasathit C, Bensalah K, et al. An effective classification procedure for diagnosis of prostate cancer in near infrared spectra. Expert Syst Appl,2010,37: 3863-3869
[116]Qi N, Zhang Z, Xiang Y, et al. Locally linear embedding method for dimensionality reduction of tissue sections of endometrial carcinoma by near infrared spectroscopy. Anal ChimActa,2012,724:12-19
[117]Sakudo A, Suganuma Y, Sakima R, et al. Diagnosis of HIV-1 infection by near-infrared spectroscopy:analysis using molecular clones of various HIV-1 subtypes. Clin Chim Acta, 2012,413:467-472
[118]Vermeij A, Van Beek A H E A, Olde Rikkert M G M, et al. Effects of aging on cerebral oxygenation during working-memory performance:a functional near-infrared spectroscopy study. Plos one,2012,7:46210
[119]Nasi T, Maki H, Kotilahti K, et al. Magnetic-stimulation-related physiological artifacts in hemodynamic near-infrared spectroscopy signals. Plos one,2011,4:24002
[120]Moros J, de Vallejuelo S F O, Gredilla A, et al. Use of reflectance infrared spectroscopy for monitoring the metal content of the estuarine sediments of the nerbioi-ibaizabal river (Metropolitan Bilbao, Bay of Biscay, Basque Country). Environ Sci Technol,2009,43: 9314-9320
[121]Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. TrAC Trends Anal Chem,2010,29: 1073-1081
[122]Chakraborty S, Weindorf D C, Zhu Y, et al. Assessing spatial variability of soil petroleum contamination using visible near-infrared diffuse reflectance spectroscopy. J Environ Monit,2012,14:2886-2892
[123]Shen J C, Shao X G Determination of tobacco alkaloids by GC-MS using cloud point extraction as a preconcentration step. Anal Chim Acta,2006,561:83-87
[124]Majedi S M, Lee H K, Kelly B C. Chemometric analytical approach for the cloud point extraction and inductively coupled plasma mass spectrometric determination of zinc oxide nanoparticles in water samples. Anal Chem,2012,84:6546-6552
[125]Rezaee M, SsadiY. Determination of organic compounds in water using dispersive liquid-liquid miero extraction. J Chromatogr A,2006,1116:1-9
[126]Wang P, Yang X, Wang J, et al. Multi-residue method for determination of seven neonicotinoid insecticides in grains using dispersive solid-phase extraction and dispersive liquid-liquid micro-extraction by high performance liquid chromatography. Food Chem, 2012,134:1691-1698
[127]Shi Z G, Lee H K. Dispersive Liquid-Liquid Microextraction Coupled with Dispersive μ-Solid-Phase Extraction for the Fast Determination of Polycyclic Aromatic Hydrocarbons in Environmental Water Samples. Anal Chem,2010,82:1540-1545
[128]St Onge L M, Dolar E, Anglim M A. Improved determination of phenobarbital, primidone, and phenytoin by use of a preparative instrument for extraction, followed by gas chromatography. Clin Chem,1979,25:1373-1376
[129]Gode D, Martin M M, Steiner F, et al. Rapid narrow band elution for on-line SPE using a novel solvent plug injection technique. Anal Bioanal Chem,2012,404:433-445
[130]Enevoldsen R, Juhler R K. Perfluorinated compounds (PFCs) in groundwater and aqueous soil extracts:using inline SPE-LC-MS/MS for screening and sorption characterization of perfluorooctane sulphonate and related compounds. Anal Bioanal Chem,2010,398: 1161-1172
[131]Bojko B, Cudjoe E, Gomez-Rios G A, et al. SPME-Quo vadis? Anal Chim Acta,2012,750: 132-151
[132]Hafez A M, Wenclawiak B W. Development of a new porous gold SPME fiber for selective and efficient extraction of dodecanethiol followed by GC-MS analysis. Anal Bioanal Chem, 2013,405:1753-1758
[133]Ho T D, Canestraro A J, Anderson J L. Ionic liquids in solid-phase microextraction:a review. Anal Chim Acta,2010,695:132-151
[134]Lehotaya S J, Son K A, Kwon H, et al. Comparison of QuEChERS sample preparation methods for the analysis of pesticide residues in fruits and vegetables. J Chromatogr A, 2010,1217:2548-2560
[135]Stubbings G, Bigwood T. The development and validation of a multiclass liquid chromatography tandem mass spectrometry (LC-MS/MS) procedure for the determination of veterinary drug residues in animal tissue using a QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe) approach. Anal Chim Acta,2009,637:68-78
[136]Jeong I S, Kwak B M, Ahn J H.Determination of pesticide residues in milk using a QuEChERS-based method developed by response surface methodology. Food Chem,2012, 133:173-181
[137]Fang G Z, Tan J, Yan X P. An ion-imprinted functionalized silica gel sorbent prepared by a surface imprinting technique combined with a sol-gel process for selective solid-phase extraction of Cadmium(II). Anal Chem,2005,77:1734-1739
[138]Shi Y, Peng D D, Shi C H, et al. Selective determination of trace 17 beta-estradiol in dairy and meat samples by molecularly imprinted solid-phase extraction and HPLC. Food Chem, 2011,126:1916-1925
[139]Ambrosini S, Shinde S, De Lorenzi E, et al. Glucuronide directed molecularly imprinted solid-phase extraction:isolation of testosterone glucuronide from its parent drug in urine. Analyst,2012,137:249-254
[140]Sattler M L, Rosenberk R S. Removal of carbonyl sulfide using activated carbon adsorption. J Air Waste Manage Assoc,2006,56:219-224
[141]Collins P G, Bradley K, Ishigami M, et al. Extreme oxygen sensitivity of electronic properties of carbon nanotubes. Science,2000,287:1801-1804
[142]曲荣君.金属离子吸附材料：制备.结构.性能.北京：化学工业出版社,2009.32-38
[143]Klika Z, Kraus L, Vopalka D. Cesium uptake from aqueous solutions by bentonite:a comparison of multicomponent sorption with ion-exchange models. Langmuir,2007,23: 1227-1233
[144]Slavica L, Ivona J, Dusan J. Adsorption of Pb24, Cd2+and Sr2+ ions onto natural and acid-activated sepiolites. Appl Clay Sci,2007,37:47-57
[145]Chao Y F, Lee J J, Wang S L. Preferential adsorption of 2,4-dichlorophenoxyacetate from associated binary-solute aqueous systems by Mg/Al-NO3 layered double hydroxides with different nitrate orientations. J Hazard Mater,2009,165:846-852
[146]Wang H, Xiang X, Li F. Facile synthesis and novel electrocatalytic performance of nanostructured Ni-Al layered double hydroxide/carbon nanotube composites, J Mater Chem,2010,20:3944-3952
[147]Chen X, Wang Q. Shen J M, et al. Adsorption of leucine-rich Amelogenin protein on hydroxyapatite (001) surface through-COO-claws. J Phys Chem C,2007,111:1284-1290
[148]Braschi I, Blasioli S, Gigli L. Removal of sulfonamide antibiotics from water:Evidence of adsorption into an organophilic zeolite Y by its structural modifications. J Hazard Mater, 2010,178:218-225
[157]Puanngam M, Unob F. Preparation and use of chemically modified MCM-41 and silica gel as selective adsorbents for Hg(Ⅱ) ions. J Hazard Mater,2008,154:578-587
[149]Lu X, Yin Q F, Xin Z. Powerful adsorption of silver(I) onto thiol-functionalized polysilsesquioxane microspheres. Chem Eng Sci,2010,65:6471-6477
[150]Singh B. Treatment of spent catalyst from the nitrogenous fertilizer industry-a review of the available methods of regeneration, reeovery and disposal. J Hazard Mater,2009,167: 24-37
[151]Dos Santos M, Rahim A, Fattori N, et al. Novel amperometric sensor based on mesoporous silica chemically modified with ensal copper complexes for selective and sensitive dopamine determination. Sensor Actuator B-Chem,2012,171:712-718
[152]Kresge C T, Leonowicz M E, Roth W J, et al. Ordered mesoporous molecular sieves synthesized by a liquid-crystal template mechanism. Nature,1992,359:710-712.
[153]Chen S Y, Huang C Y, Yokoi T, et al. Synthesis and catalytic activity of amino-functionalized SBA-15 materials with controllable channel lengths and amino loadings, J Mater Chem,2012,22:2233-2243
[154]Kumar U, Bandyopadhyay M. Sorption of cadmium from aqueous solution using pretreated rice husk. Bioresour Technol,2006,97:104-109
[155]Guo X, Zhang S, Shan X. Adsorption of metal ions on lignin. J Hazard Mater,2008,151: 134-142
[156]Zhang X L, Niu H Y, Cai Y Q, et al. Chitosan-coated octadecyl-functionalized magnetite nanoparticles:preparation and application in extraction of trace pollutants from environmental water samples. Anal Chem,2010,82:2363-2371
[157]Popat A, S B Hartono, Stahr F, et al. Mesoporous silica nanoparticles for bioadsorption, enzyme immobilisation, and delivery carriers. Nanoscale,2011,3:2801-2818
[158]Islam A, Laskar M A, Ahmad A. Characterization of a novel chelating resin of enhanced hydrophilicity and its analytical utility for preconcetration of trace metal ions. Talanta, 2010,81:1772-1780
[159]Kara D, Fisher A, Hill S J. Determination of trace heavy metals in soil and sediments by atomic spectrometry following preconcentration with Schiff bases on Amberlite XAD-4. J Hazard Mater,2009,165:1165-1169
[160]Li Z H, Chang X J, Zou X J, et al. Chemically-modified activated carbon with ethylenediamine for selective solid-phase extraction and preconcentration of metal ions. Anal Chim Acta,2009,632:272-277
[161]Lagadic IL, Mitchell M K, Payne B D. Highly effective adsorption of heavy metal ions by a thiol-functionalized magnesium phyllosilicate clay. Environ Sci Technol,2001,35: 984-990
[162]Chai L Y, Li Q Z, Zhu Y H, et al. Synthesis of thiol-functionalized spent grain as a novel adsorbent for divalent metal ions. Bioresour Technol; 2010,101:6269-6272
[163]Mercier L, Pinnavaia T J. A functionalized porous clay heterostructure for heavy metal ion (Hg2+) trapping. Micropor Mesopor Mater,1998,20:101-106
[164]Miller C R, Vogel R, Trau M. Functionalized organosilica microspheres via a novel emulsion-based route, Langmuir,2005,21:9733-9740
[165]Pyrzynska K. Carbon nanostructures for separation, preconcentration and speciation of metal ions. TrAC Trends Anal Chem,2010,29:718-727
[166]Moros J, Garrigues S, de la Guardia M. Vibrational spectroscopy provides a green tool for multi-component analysis. TrAC-Trends Anal Chem,2010,29:578-591
[167]Blanco M, Villarroya I, NIR spectroscopy:a rapid-response analytical tool. TrAC-Trends Anal Chem,2002,21:240-250
[168]Xia X Q, Mao Y Q, Ji J, et al. Reflectance spectroscopy study of Cd contamination in the sediments of the Changjiang River, China. Environ Sci Technol,2007,41:3449-3454
[169]Kooistra L; Wehrens R, Leuven R S E W, et al. Possibilities of visible-near-infrared spectroscopy for the assessment of soil contamination in river floodplains. Anal Chim Acta,2001,446:97-105
[170]Chen G P, Mei Y, Du Y P, et al. Micro near infrared spectroscopy (MicroNIRS) based on on-line enrichment:determination of trace copper in water using glycidyl methacrylate-based monolithic material. Anal Chim Acta,2010,670:39-43
[171]Sheng N, Cai W S, Shao X G. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Talanta,2009,79:339-343
[172]Huang Z X, Tao W, Du Y P, et al. An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution. Chemom Intell Lab Syst,2009,98:195-200
[173]Li J H, Cai W S, Shao X G, et al. Simultaneous determination of mercury, lead and cadmium ions in water using near-infrared spectroscopy with preconcentration by thiol-functionalized magnesium phyllosilicate clay.Talanta,2011,84:679-683
[174]Ning Y, Li J H, Shao X G, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite. Spectrochim Acta A,2012,96:289-294
[175]Malley D F, Williams P C. Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter. Environ Sci Technol,1997,31:3461-3467
[176]Rutan S C, de Noord O E, Andrea R R, Characterization of the sources of variation affecting Near-Infrared Spectroscopy Using Chemometric Methods. Anal Chem.1998,70: 3198-3201
[177]Eddy C V, Flanigan M, Arnold M A, et al. Near-infrared spectroscopic measurement of urea in dialysate samples collected during hemodialysis treatments. Appl Spectrosc,2003, 57:1230-1235
[178]Arnold M A, Small G W, Xiang D, et al. Pure component selectivity analysis of multivariate calibration models from near-infrared spectra solutions. Anal Chem,2004,76: 2583-2590
[179]Mittermayr C R, Tan H W, Brown S D, et al. Robust calibration with respect to background variation. Appl Spectrosc,2001,55:827-833
[180]Lima K M G, Jr Raimundo I M, Pimentel M F, et al. Improving the detection limits of near infrared spectroscopy in the determination of aromatic hydrocarbons in water employing a silicone sensing phase. Sensor Actuator B-Chem,2007,125:229-233
[181]Albuquerque J S, Pimentel M F, Silva V L, et al. Silicone sensing phase for detection of aromatic hydrocarbons in water employing near-infrared spectroscopy. Anal Chem,2005, 77:72-77
[182]Du Y P, Wei X M, Xie H P, et al. An enrichment device of silica-based monolithic material and its application to determine micro carbaryl by NIR. Chin Chem Lett,2009,20: 469-472
[183]Huang Z X, Tao W, Du Y P, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water. Chemom Intell Lab Syst,2009,98:195-200
[184]Zhang Y, Hao Y, Cai W S, et al. Simultaneous determination of phenol and p-nitrophenol in wastewater using near-infrared diffuse reflectance spectroscopy with adsorption preconcentration. Anal Method,2011,3:703-708
[185]Yang Y F, Cai W S, Shao X Q et al. Feasibility for quantitative determination of deoxyribonucleic acid by using near-infrared diffuse reflectance spectroscopy. Talanta, 2012,99,871-874
[186]Hao Y, Cai W S, Shao X G. A strategy for enhancing the quantitative determination ability of the diffuse reflectance near-infrared spectroscopy. Spectrochim Acta A,2009,72: 115-119
[187]Kok-Hui G, Teik-Thye L, Dong Z L. Application of layered double hydroxides for removal of oxyanions:a review. Water Res,2008,42:1343-1368
[188]Corami A, Mignardi S, Ferrini V, Cadmium removal from single-and multi-metal (Cd2+, Pb2+, Zn2+, Cu2+) solutions by sorption on hydroxyapatite. J Colloid Interface Sci.2008, 317:402-408
[189]Legrouri A, Lakraimi M, Barroug A, et al. Removal of the herbicide 2, 4-dichlorophenoxyacetate from water to zinc-aluminium-chloride layered double hydroxides. Water Res,2005,39:3441-3448
[190]Mavropoulos E, Rossi A M, Costra A. Studies on the mechanisms of lead immobilization by hydroxyapatite. Environ Sci Technol,2002,36:1625-1629
[191]Valente J S, Tzompantzi F, Gomez R. Adsorption and photocatalytic degradation of phenol and 2,4-dichlorophenoxiacetic acid by Mg-Zn-Al layered double hydroxides. Appl Catal B,2009,90:330-338
[192]Shao X G, Leung A K M, Chau F'T. Wavelets:a new trend in chemistry. Acc Chem Res, 2003,36:276-283.
[193]Barnes R J, Dhanoa M S, Lister S J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl Spectrosc,1989,43: 772-777
[194]Cai W S, Li Y K, Shao X G. A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra. Chemom Intell Lab Syst, 2008,90:188-194.
[195]Xu H, Liu Z C, Cai W S, et al. A wavelength selection method based on randomization test for near-infrared spectral analysis. Chemom Intell Lab Syst,2009,97:189-193
[196]Li H D, Liang Y Z, Xu Q S, et al. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. Anal Chim Acta,2009, 648:77-84
[197]Centner V, Massart D L, de Noord O E, et al. Elimination of uninformative variables for multivariate calibration. Anal Chem,1996,68:3851-3858
[198]Wold S, Sjostrom M, Eriksson L. PLS-regression:a basic tool of chemometrics. Chemom Intell Lab Syst,2001,58:109-130
[199]Haaland D M, Thomas E V. Partial least squares methods for spectral analysis 1:relation to other multivariate calibration methods and the extraction of qualitative information. Anal Chem,1988,60:1193-1202
[200]Chen X T, Xiang Y, Tong A J. Facile, sensitive and selective fluorescence turn-on detection of HSA/BSA in aqueous solution utilizing 2,4-dihydroxyl-3-iodo salicylaldehyde azine. Talanta,2010,80:1952-1958
[201]Deng Y H, Zhang Z X, Zhang H S, et al. Development of an N-hydroxysuccinimidyl fluorescein-O-acetate-labeled probe for competitive capillary electrophoretic immunoassay of bovine serum albumin. Talanta,2010,81:1806-1809
[202]Liu X Y, Wu X, Yang J H. Protein determination using methylene blue in a synchronous fluorescence technique. Talanta,2010,81:760-765
[203]Wang Y, Li J H. A carbon nanotubes assisted strategy for insulin detection and insulin proteolysis assay. Anal Chim Acta,2009,650:49-53
[204]Tanaka T, Izawa K, Okochi M, et al. On-chip type cation-exchange chromatography with ferrocene-labeled anti-hemoglobin antibody and electrochemical detector for determination of hemoglobin Aic level. Anal Chim Acta,2009:638:186-190
[205]Sexton L T, Mukaibo H, Katira P, et al. An adsorption-based model for pulse duration in resistive-pulse protein sensing. J Am Chem Soc,2010,132:6755-6763
[206]Terenghi M, Elviri L, Careri M, et al. Multiplexed determination of protein biomarkers using metal-tagged antibodies and size exclusion chromatography-inductively coupled plasma mass spectrometry. Anal Chem,2009,81:9440-9448
[207]Chiang C K, Yang Z, Lin Y W, et al. Detection of proteins and protein-ligand complexes using HgTe nanostructure matrixes in surface-assisted'laser desorption/ionization mass spectrometry. Anal Chem,2010,82:4543-4550
[208]Wang G, Johnson A J, Kaltashov I A, et al. Evaluation of electrospray ionization mass spectrometry as a tool for characterization of small soluble protein aggregates. Anal Chem, 2012,84:1718-1724
[209]Freeman R, Finder T, Gill R. Probing protein kinase (CK2) and alkaline phosphatase with CdSe/ZnS quantum dots. Nano Lett,2010,10:2192-2196
[210]Wu P, Miao L N, Wang H F, et al. A multidimensional sensing device for the discrimination of proteins based on manganese-doped ZnS quantum dots. Angew Chem Int Ed,2011,50:8118-8121
[211]Ma W, Zhang Y, Li L, et al. Ti4+ -Immobilized magnetic composite microspheres for highly selective enrichment of phosphopeptides. Adv Funct Mater,2013,23:107-115
[212]Zhang X, He X, Chen L, et al. Boronic acid modified magnetic nanoparticles for enrichment of glycoproteins via azide and alkyne click chemistry. J Mater Chem,2012,22: 16520-16526
[213]Lin Z, Xia Z, Zheng J, et al. Synthesis of uniformly sized molecularly imprinted polymer-coated silica nanoparticles for selective recognition and enrichment of lysozyme. J Mater Chem,2012,22:17914-17922
[214]Najam-ul-Haqa M, Jabeen F, Hussain D, et al. Versatile nanocomposites in phosphoproteomics:a review. Anal Chim Acta,2012,747:7-18
[215]Lu J, Qi D, Deng C, et al. Hydrothermal synthesis of a-Fe203@Sn02 core-shell nanotubes for highly selective enrichment of phosphopeptides for mass spectrometry analysis. Nanoscale,2010,2:1892-1900
[216]Wu H C, Wang T W, Sun J S, et al. A novel biomagnetic nanoparticle based on hydroxyapatite. Nanotech,2007,18:165601
[217]Hou C H, Hou S M, Hsueh Y S, et al. The in vivo performance of biomagnetic hydroxyapatite nanoparticles in cancer hyperthermia therapy. Biomaterials,2009,30: 3956-3960
[218]Wu H C, Wang T W, Bohn M C, et al. Novel magnetic hydroxyapatite nanoparticles as non-Viral vectors for the glial cell line-derived neurotrophic factor gene. Adv Funct Mater, 2010,20:67-77
[219]Alishahi A, Farahmand H, Cozzolino D, et al. Identification of transgenic foods using NIR spectroscopy:a review. Spectrochim Acta A,2010,75:1-7
[220]Jinendra B, Tamaki K, Kuroki S, et al. Near infrared spectroscopy and aquaphotomics: Novel approach for rapid in vivo diagnosis of virus infected soybean. Biochem Bioph Res Co,2010,397:685-690
[221]Mantanus J, Ziemons E, Lebrun P, et al. Moisture content determination of pharmaceutical pellets by near infrared spectroscopy:method development and validation. Anal Chim Acta,2009,642:186-192
[222]Kauppinen A, Toiviainen M, Korhonen O, et al. In-line multipoint near-infrared spectroscopy for moisture content quantification during freeze-drying. Anal Chem,2013, 85:2377-2384
[223]Xie S F, Xiang B R, Yu L Y, et al. Tailoring noise frequency spectrum to improve NIR determinations. Talanta,2009,80:895-902
[224]Rinnan A, van den Berg F, Engelsen S B. Review of the most common pre-processing
[225]Feng Y, Gong J L, Zeng G M, et al. Adsorption of Cd (Ⅱ) and Zn (Ⅱ) from aqueous solutions using magnetic hydroxyapatite nanoparticles as adsorbents. Chem Eng J,2010, 162:487-494
[226]Liese H. An infrared absorption analysis of magnetite. Am Miner,1967,52:1198-1205
[227]Meister A. Glutathione metabolism and its selective modification, J Biol Chem,1988,263: 17205-17208
[228]Schulz J B, Lindenau J, Seyfried J, et al. Glutathione, oxidative stress and neurodegeneration. Eur J Biochem,2000,267:4904-4911
[229]Hwang C, Sinskey A J, Lodish H F. Oxidized redox state of glutathione in the endoplasmic reticulum. Science,1992,257:1496-1502
[230]Lu S C. Regulation of glutathione synthesis. Mol Aspects Med,2009,30:42-59
[231]Townsend D M, Tew K D, Tapiero H. The antioxidant role of selenium and seleno-compounds. Biomed Pharmacother,2003,57:134-144
[232]Herzenberg L A, De Rosa S C, Dubs J G, et al. Glutathione deficiency is associated with impaired survival in HIV disease. Proc Natl Acad Sci,1997,94:1967-1972
[233]Cecchi C, Latorraca S, Sorbi S, et al. Gluthatione level is altered in lymphoblasts from patients with familial Alzheimer's disease. Neurosci Lett,1999,275:152-154
[234]Altomare E, Vendemiale G, Albano O. Hepatic glutathione content in patients with alcoholic and non alcoholic liver diseases. Life Sci,1988,43:991-998
[235]Zhang Y, Li Y, Yan X P. Photoactivated CdTe/CdSe quantum dots as a near infrared fluorescent probe for detecting biothiols in biological fluids. Anal Chem,2009,81: 5001-5007
[236]Liu J, Bao C, Zhong X, et al. Highly selective detection of glutathione using a quantum-dot-based OFF-ON fluorescent probe. Chem Commun,2010,46:2971-2973
[237]Chen X, Zhou Y, Peng X. Fluorescent and colorimetric probes for detection of thiols. Chem Soc Rev,2010,39:2120-2135
[238]Raoof J B, Ojani R, Baghayeri M. Simultaneous electrochemical determination of glutathione and tryptophan on a nano-TiO2/ferrocene carboxylic acid modified carbon paste electrode. Sensor Actuat B-Chem,2009,143:261-269
[239]Ferin R, Pavao L M, Baptista J. Methodology for a rapid and simultaneous determination of total cysteine, homocysteine, cysteinylglycine and glutathione in plasma by isocratic RP-HPLC. J Chromatogr B,2012,911:15-20
[240]Niu L Y, Guan Y S, Chen Y Z. BODIPY-Based ratiometric fluorescent sensor for highly selective detection of glutathione over cysteine and homocysteine. J Am Chem Soc,2012, 134:18928-18931
[241]Lee M H, Han J H, Kwon P S, et al. Hepatocyte-targeting single galactose-appended naphthalimide:a tool for intracellular thiol imaging in vivo. J Am Chem Soc,2012,134: 1316-1322
[242]Lim C S, Masanta G, Kim H J, et al. Ratiometric detection of mitochondrial thiols with a two-photon fluorescent probe. J Am Chem Soc,2011,133:11132-11135
[243]Sun Y Q, Chen M, Liu J, et al. Nitroolefin-based coumarin as a colorimetric and fluorescent dual probe for biothiols. Chem Commun,2011,47:11029-11031
[244]Yi L, Li H, Sun L, et al. A highly sensitive fluorescence probe for fast thiol quantification assay of glutathione reductase. Angew Chem Int Ed,2009,48:4034-4037
[245]Cheng S H, Lee C H, Chen M C, et al. Tri-functionalization of mesoporous silica nanoparticles for comprehensive cancer theranostics-the trio of imaging, targeting and therapy. J Mater Chem,2010,20:6149-6157
[246]Slowing I I, Vivero-Escoto J L, Trewyn B G, et al. Mesoporous silica nanoparticles: structural design and applications. J Mater Chem,2010,20:7924-7937
[247]Lu Y, Lu G, Wang Y, et al. Functionalization of cubic Ia3d mesoporous silica for immobilization of penicillin G acylase. Adv Funct Mater,2007,17:2160-2166
[248]Salis A, Meloni D, Ligas S, et al. Physical and chemical adsorption of Mucor javanicus lipase on SBA-15 mesoporous silica. Langmuir,2005,21:5511-5516
[249]Lee C H, Lin T S, Mou C Y. Mesoporous materials for encapsulating enzymes. Nano Today,2009,4:165-179
[250]Alishahi A, Farahmand H, Cozzolino D, et al. Identification of transgenic foods using NIR spectroscopy:a review. Spectrochim Acta A,2010,75:1-7
[251]Burggraeve A, Silva A F T, Vanden Kerkhof T, et al. Development of a fluid bed granulation process control strategy based on real-time process and product measurements. Talanta,2012,100:293-302
[252]Gao G, Lange D, Hilpert K, et al. The biocompatibility and biofilm resistance of implant coatings based on hydrophilic polymer brushes conjugated with antimicrobial peptides. Biomaterials,2011,32:3899-3909
[253]Hiyoshi N, Yogo K, Yashima T. Adsorption characteristics of carbon dioxide on organically functionalized SBA-15. Micropor Mesopop Mat,2005,84:357-365
[254]Koehler P. Concentrations of low and high molecular weight thiols in wheat dough as affected by different concentrations of ascorbic acid. J Agric Food Chem,2003,51: 4948-4953
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |