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FTIR显微成像表征碱处理后玉米秸秆木质素含量及分布
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  • 英文篇名:Lignin content and distribution in alkali pretreated corn straw based on Fourier transform infrared microspectroscopic imaging
  • 作者:杨增玲 ; 杜书荣 ; 梅佳琪 ; 李骏宝 ; 刘二伟 ; 韩鲁佳
  • 英文作者:Yang Zengling;Du Shurong;Mei Jiaqi;Li Junbao;Liu Erwei;Han Lujia;College of Engineering, China Agricultural University;
  • 关键词:秸秆 ; 木质素 ; 图像处理 ; FTIR显微成像 ; 碱处理
  • 英文关键词:straw;;lignin;;image processing;;FTIR microspectroscopic imaging;;alkali pretreatment
  • 中文刊名:NYGU
  • 英文刊名:Transactions of the Chinese Society of Agricultural Engineering
  • 机构:中国农业大学工学院;
  • 出版日期:2019-04-23
  • 出版单位:农业工程学报
  • 年:2019
  • 期:v.35;No.360
  • 基金:国家自然科学基金(31471407);; 教育部创新团队计划(IRT_17R105)
  • 语种:中文;
  • 页:NYGU201908033
  • 页数:7
  • CN:08
  • ISSN:11-2047/S
  • 分类号:288-294
摘要
探究木质素原位表征方法,能为研究农作物秸秆去木质化过程中木质素变化规律提供帮助。该研究以玉米秸秆为原料,碱处理玉米秸秆横切片后进行傅里叶变换红外(Fourier transform infrared,FTIR)显微成像,并结合快速非负最小二乘(fast non-negativity-constrained least squares,fast NNLS)拟合算法计算组织中木质素的分布。结果显示:1)FTIR显微图像结合fastNNLS算法可对组织中的木质素进行定位及定量分析。如拟合计算得到,原样组织薄壁细胞中木质素质量分数为7.7%,碱处理5、30、60min后下降至6.0%、4.8%、3.5%;2)基于fastNNLS拟合计算的组织中木质素变化趋势同试验测定的木质素变化趋势一致。研究结果表明,基于FTIR显微成像的表征方法可用于原位分析碱处理过程中秸秆组织的木质素分布及含量变化,实现介观尺度研究秸秆木质素降解规律。
        Lignin is one of the major components of plant cell wall, and it can provide sufficient strength and hardness to plant cells while avoiding biological damage and water erosion. In recent years, studies on the lignification process and delignification of plant tissues have received extensive attention from scholars. A large number of studies have been carried out to determine the removal of lignin after pretreatment by conventional wet chemical analysis. The lignin content and distribution of biomass resources such as crop straw directly affect its conversion and utilization efficiency. It's meaningful to develop multi-scale and in situ analysis to identify lignin distribution and quantification on delignified plant cell wall for bio-resource commercial utilization. In this paper, we studied an in situ analysis method to visualize changing of lignin distribution in the alkali pretreated corn straw internodal transverse section based on Fourier transform infrared(FTIR) microspectroscopic imaging, with a fast non-negativity-constrained least squares(fast NNLS) fitting. We collected the middle of the 6 th node of fresh jointing stage corn straw. Corn straws were pretreated for series of times(0, 5, 30, 60 min) by 2% NaOH solution at 100℃. A paraffin embedding method was used to produce 18 μm-thick transverse sections for each sample. Then, the sections were transferred onto ZnS windows for FTIR microspectroscopic imaging. We acquired FTIR spectra of major components of corn straw for fast NNLS fitting. We also milled whole straws to 0.069 mm and pretreated in the same condition as sections to determine structure carbohydrate. The data of FTIR microspectroscopic images and FTIR spectra were processed by Savizky-Golay smoothing within 5 points, SNV, and automatic Whittaker filter baseline to correct baseline and offset. K-means cluster algorithm was used to distinguish various tissues including epidermis, vascular bundles and parenchyma cells. Fast NNLS fitting was carried out to calculate the lignin concentrations in pixels. For comparison between different pretreated times, lignin concentration in pixels was calibrated according to the sum of content of all components based on laboratory analysis. The lignin content by laboratory analysis decreased with the increasing of the pretreated time, and the lignin degradation rate was larger at the initial stage of the reaction. The lignin content in the epidermis, vascular bundle and parenchyma cells of the samples showed a decreasing trend with the increasing of pretreatment time, and the trends of lignin changing in the three tissues were consistent with the trend of laboratory analysis. By comparing laboratory analysis with fast NNLS fitting results, the results show that the FTIR microspectroscopic imaging combined with fast NNLS could locate and quantify the distribution of lignin in various tissues, and the trend of lignin changing calculated by fast NNLS fitting is the same as the laboratory chemical analysis results. The study demonstrated that FTIR microspectroscopic imaging combined with fast NNLS fitting could be successfully applied to in situ visualize lignin distribution within corn straw pretreatment. The characterization method provides reference for the lignin research of corn stover pretreatment and the study of lignin degradation during straw pretreatment.
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