化学计量学
植物医学
药用植物
计算机科学
药店
认证(法律)
传统医学
生化工程
数据科学
机器学习
医学
工程类
计算机安全
家庭医学
作者
Mariana Gaião Calixto,Hilthon Alves Ramos,Lucas Silva Veríssimo,Vitor Dantas Alves,Ana Cláudia Dantas de Medeiros,Felipe Hugo Alencar Fernandes,Germano Véras
标识
DOI:10.1080/10408347.2021.1953370
摘要
Medicinal plants have been used and studied for ages, from very old registers to modern ethnopharmacology, which encompasses analytical chemistry, foods, and pharmacy. Based on international norms and governmental organizations of health, phytomedicine—for example, herbal drugs—needs to guarantee the quality control of products and identify contaminants, biomarkers, and chemical profiles, among other issues. In this sense, is necessary to develop advanced analytical methods that show interesting possibilities and obtain a great amount of data. In order to treat the data, a set of mathematical and statistical procedures named chemometrics is necessary. In terms of herbal drugs, chemometric tools may be used to identify the following in plants: parts, development stages, processing, geographic origin, authentication, and chemical markers. This review describes applications of chemometric pattern recognition tools to analyze herbal drugs in different conditions associated with analytical methods in the last six years (2015–2020).
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