Li Wen-Long, Qu Hai-Bin
Pharmaceutical Informatics Institute, Zhejiang University, Hangzhou 310058, China.
Zhongguo Zhong Yao Za Zhi. 2016 Oct;41(19):3511-3514. doi: 10.4268/cjcmm20161903.
In recent years, the near infrared (NIR) spectroscopy has gained wide acceptance within the quantitative analysis of traditional Chinese medicine (TCM). However, the lack of technical standards is the bottleneck problem in this process. To address this issue, standardization study of the NIR spectroscopy based method for the quantitative analysis of TCM is needed, in which the specific characteristics of TCM should be given full considerations. The main research contents include:the scope definition for the application of NIR spectroscopy in the TCM quantitative analysis field, the selection criteria for the sample pretreatment and spectral acquisition conditions, the rules for the model optimization and evaluation, and the regulations for the model update and transfer. In this paper, some foreign studies in the agricultural areas are reviewed for reference. Different chemometrics methods reported in the literature are investigated and compared systematically. This research is important actual significance to the theoretical development of NIR spectroscopy analytical techniques, and will effectively promote the application of the technology in the TCM industry. Furthermore, it is beneficial to improve the technical level of TCM quality control, and can also be used as references to achieve similar purposes for other natural products.
近年来,近红外(NIR)光谱技术在中药定量分析中得到了广泛认可。然而,缺乏技术标准是这一过程中的瓶颈问题。为解决这一问题,需要开展基于近红外光谱技术的中药定量分析标准化研究,其中应充分考虑中药的具体特性。主要研究内容包括:近红外光谱技术在中药定量分析领域的应用范围界定、样品预处理及光谱采集条件的选择标准、模型优化与评价规则以及模型更新与转移规定。本文综述了国外在农业领域的一些研究以供参考。对文献报道的不同化学计量学方法进行了系统研究和比较。本研究对近红外光谱分析技术的理论发展具有重要现实意义,将有效推动该技术在中药产业中的应用。此外,有利于提高中药质量控制技术水平,也可为其他天然产物实现类似目的提供参考。