基于主成分F模型的棉糖含量色度定量检测方法研究
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摘要
为了解决色度定量法(CQTM)中单一色度参数与标准糖溶液的线性拟合波动性大的问题,发挥色度仪多指标综合评价的优势,在初步掌握各色度参数与3,5-二羟基甲苯-硫酸标准显色溶液关系模型的基础上,首先通过主成分分析法对具有较强相关性的色度参数因子降维,然后建立主成分F模型与标准含糖量的关系模型。通过棉花含糖量的实测检验,证实了这种定量检测方法的可行性,并且具有F模型的色度参数可选择、线性拟合波动性可控制、空白溶液参比可省略等优点。
In order to solve the problem of poor linear fitting fluctuation between the single chromatic parameter and standard sugar solution with chromatic quantitative testing method( CQTM) and to take the advantages of comprehensive evaluation of multi index colorimeter,based on the relationship between the chromatic parameters and the 3,5-two hydroxyl toluene-sulfuric acid,the principal component analysis method was used to reduce the dimension of chromatic parameters,and the relationship between the principal component model F and the standard sugar content was established. By measuring test of the cotton sugar content,the feasibility of this method was proved. And it was considered that this model F has advantages of the selectable chromatic parameters,controllable linear fitting fluctuation and omissible blank solution.
In order to solve the problem of poor linear fitting fluctuation between the single chromatic parameter and standard sugar solution with chromatic quantitative testing method( CQTM) and to take the advantages of comprehensive evaluation of multi index colorimeter,based on the relationship between the chromatic parameters and the 3,5-two hydroxyl toluene-sulfuric acid,the principal component analysis method was used to reduce the dimension of chromatic parameters,and the relationship between the principal component model F and the standard sugar content was established. By measuring test of the cotton sugar content,the feasibility of this method was proved. And it was considered that this model F has advantages of the selectable chromatic parameters,controllable linear fitting fluctuation and omissible blank solution.
引文
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[2] Rice K B,Eubanks M D. No Enemies Needed:Cotton aphids(Hemiptera:Aphididae)directly benefit from red imported fire ant(Hymenoptera:Formicidae)tending[J]. Florida Entomologist,2013,96(3):929-932.
[3]刘瑞,叶生文,陈契,等.棉糖测定方法研究进展[J].棉纺织技术,2016,44(3):80-84.Liu R,Ye S W,Chen Q,et al. The Research Progress of Cotton Sugar Content Test Method and Tts Adaptability for Textile Industry[J]. Cotton Textile Technology,2016,44(3):80-84.
[4]王峰林,王长龙,胡永江.基于超声检测的无人机复合材料多特征提取研究[J].计量学报,2014,35(6):612-616.Wang F L,Wang C L,Hu Y J. Ultrasonic Testing Based Multi-feature Extraction of UAV Composite Materials[J].Acta Metrologica Sinica,2014,35(6):612-616.
[5]李红,屠大伟,李根溶,等.固相微萃取及主成分分析用于潲水油GC-MS指纹图谱的分析[J].计量学报,2010,31(z1):101-105.Li H,Tu D W,Li G R,et al. SPME and Principal Component Analysis of Hogwash Oil GC-MS Fingerprint[J]. Acta Metrologica Sinica,2010,31(z1):101-105.
[6]何群,王红,江国乾,等.基于相关主成分分析和极限学习机的风电机组主轴承状态监测研究[J].计量学报,2018,39(1):89-93.He Q,Wang H,Jiang G Q,et al. Research of Wind Turbine Main Bearing Condition Monitoring Based on Correlation PCA and ELM[J]. Acta Metrologica Sinica,2018,39(1):89-93.
[7] Majumda A,Singh S P. A new approach to determine the quality value of cotton fibres using multi-criteria decision making and genetic algorithm[J]. Fibers and Polymers,2014,15(12):2658-2664.
[8]高飞. MATLAB智能算法超级学习手册[M].北京:人民邮电出版社,2014.
[9]邪龙瀚,尚涛,蔡明京. SPSS统计分析与数据挖掘[M]. 2版.北京:电子工业出版社,2014.