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过程工程学报 ›› 2018, Vol. 18 ›› Issue (4): 757-763.DOI: 10.12034/j.issn.1009-606X.217390

• 过程与工艺 • 上一篇    下一篇

近红外光谱法测定CTS-GSH中巯基含量

张 鹏1*, 王雨露1, 朱国成1, 焦昭杰2, 张 伟1   

  1. 1. 湖南科技大学土木工程学院,湖南 湘潭 411201
    2. 重庆工商大学废油资源化技术与装备教育部工程研究中心,重庆 400067
  • 收稿日期:2017-11-16 修回日期:2018-01-18 出版日期:2018-08-22 发布日期:2018-08-15
  • 通讯作者: 张鹏 zhangpeng388@126.com
  • 基金资助:
    锰矿区锰与DOM相互作用机制及混凝去除机理研究;DON荧光组分与DON含量、N-DBPs的相关性分析及优化混凝过程研究;新型混凝剂CTS-GSH分子模型构建及对水中铬(VI)的去除机理研究

Determination of sulfhydryl content in CTS?GSH through near-infrared reflectance spectroscopy

Peng ZHANG1*, Yulu Wang1, Guocheng ZHU1, Zhaojie JIAO2, Wei ZHANG1   

  1. 1. School of Civil Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China
    2. Engineering Research Center for Waste Oil Recovery Technology and Equipment of Ministry of Education,Chongqing Technology
    and Business University, Chongqing 400067, China
  • Received:2017-11-16 Revised:2018-01-18 Online:2018-08-22 Published:2018-08-15

摘要: 选取56份自制的壳聚糖与谷胱甘肽通过酰胺化反应合成的巯基化壳聚糖(CTS?GSH)样品,对其进行近红外光谱扫描,选取各波段的特征吸收峰作为自变量,以巯基含量为因变量,建立偏最小二乘(PLS)模型预测巯基含量,并将预测值与实测值作比较. 结果表明,预测值与计算值的相关系数大于0.9,表明模型具有良好的预测性能. 预测值和实测值的差异不显著,表明近红外光谱预测CTS-GSH中的巯基含量具有可行性.

关键词: CTS-GSH, 巯基, 近红外光谱, 偏最小二乘法

Abstract: The thiolated chitosan (CTS?GSH) was synthesized via the amidation reaction of chitosan (CTS) with reduced glutathione (GSH). A total of 56 samples were scanned with near-infrared reflectance spectroscopy (NIRS) instrument. The characteristic absorption peaks of each band were selected as independent variables, and sulfhydryl content as the dependent variable, the partial least squares (PLS) model was established. Sulfhydryl content was predicted by the PLS, and predicted values were compared with measured values. The results showed that the correlation coefficient of the measured and predicated values of sulfhydryl content was more than 0.9, presenting a good forecasting performance of the model. The difference between the predicted and measured values was nonsignificant, suggesting the feasibility of predicting sulfhydryl content in CTS?GSH through NIRS.

Key words: sulfhydryh chitosan(CTS-GSH), sulfhydryl, near infrared reflectance spectroscopy, partial least squares