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近红外光谱技术是目前使用最广泛的过程分析技术,模型性能是近红外光谱技术应用于生产过程质量控制的关键要素,基于结构的光谱特征波段解析是提高模型性能的重要途径。北京中医药大学乔延江教授、吴志生教授团队于2019年7月在Scientific Reports发表了一篇题为“Systematic discovery about NIR spectral assignment from chemical structural property to natural chemical compounds”的文章。马丽娟、彭严芳、裴艳玲等学生完成此工作,乔延江教授和吴志生教授共为通讯作者。
Figure 1. The idea of NIR spectral assignment from chemical structural property to natural chemical compounds.
针对中药制造NIR过程分析技术光谱信息冗余造成模型准确性低的问题,建立了基于浓度扰动的差谱、二维相关光谱及密度泛函理论的有效成分特征信息辨识技术,系统辨识了从简单化合物到复杂中药体系中青蒿素、五味子甲素等30余份对照品的NIR特征信息,提高了中药制造NIR过程质量控制的可靠性。成果已申请发明专利CN201910361355.6。
Systematic discovery about NIR spectral assignment from chemical structural property to natural chemical compounds
Spectra-structure interrelationship is still the weakness of NIR spectral assignment. In this paper, a comprehensive investigation from chemical structural property to natural chemical compounds was carried out for NIR spectral assignment. Surprisingly, we discovered that NIR absorption frequency of the skeleton structure with sp2 hybridization is higher than one with sp3 hybridization. Specifically, substituent was another vital factor to be explored, the first theory discovery demonstrated that the absorption intensity of methyl substituted benzene at 2330 nm has a linear relationship with the number of substituted methyl C-H. The greater the number of electrons given to the substituents, the larger the displacement distance of absorption bands is. In addition, the steric hindrance caused by the substituent could regularly reduce the intensity of NIR absorption bands. Furthermore, the characteristic bands and group attribution of 29 natural chemical compounds from 4 types have been systematic assigned. These meaningful discoveries provide guidance for NIR spectral assignment from chemical structural property to natural chemical compounds.
[来源:药用植物研究前沿]
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