Pattern recognition: An effective tool for quality assessment of herbal medicine based on chemical information
文献类型： 外文期刊
作者： Wang, Ye 1 ; Zuo, Zhi-Tian 1 ; Wang, Yuan-Zhong 1 ;
作者机构： 1.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650200, Yunnan, Peoples R China
2.Yunnan Univ Chinese Med, Coll Tradit Chinese Med, Kunming 650500, Yunnan, Peoples R China
关键词： chemometrics; discrimination analysis; pattern recognition; quality control; traditional Chinese medicine
期刊名称：JOURNAL OF CHEMOMETRICS （ 影响因子：2.467； 五年影响因子：2.513 ）
ISSN： 0886-9383
年卷期： 2021 年 35 卷 3 期
页码：
收录情况： SCI
摘要： Herbal medicine has obtained great attention for its effective efficacy using its crude materials and patent medicines. It is believed that the efficacy is a synergetic action by several chemical components. To present a detailed overview of the usage of multivariate statistical techniques developed for analytical chemistry in quality assessment and origins traceability, we provided an extensive pragmatic and practical overview of these techniques for the quality control of these crude medicines. Two pattern recognition methods, unsupervised and supervised approaches, were interpreted using practical instances. Overall, the review briefly summarized common applications for location, species, harvesting time, processed production, manufacture, botanical part, and authenticity. Besides, we focused on data pretreatment and fusion strategies listing recently published literature to provide a detailed reference to choose the most appropriate statistical method and fusion strategies. Actual applications have proved chemometrics as an effective and rapid tool for the quality control of herbal medicine.
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