Fraud Detection of Herbal Medicines Based on Modern Analytical Technologies Combine with Chemometrics Approach: A Review

文献类型： 外文期刊

第一作者： Liu, Zhimin

作者： Liu, Zhimin;Yang, Mei Quan;Zuo, Yingmei;Wang, Yanzhong;Zhang, Jinyu;Liu, Zhimin

作者机构：

关键词： Herbal medicines (HMs); fraud detection; analysis technologies; chemometrics methods

期刊名称：CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY （ 影响因子：4.568； 五年影响因子：4.943 ）

ISSN： 1040-8347

年卷期：

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收录情况： SCI

摘要： Fraud in herbal medicines (HMs), commonplace throughout human history, is significantly related to medicinal effects with sometimes lethal consequences. Major HMs fraud events seem to occur with a certain regularity, such as substitution by counterfeits, adulteration by addition of inferior production-own materials, adulteration by chemical compounds, and adulteration by addition of foreign matter. The assessment of HMs fraud is in urgent demand to guarantee consumer protection against the four fraudulent activities. In this review, three analysis platforms (targeted, non-targeted, and the combination of non-targeted and targeted analysis) were introduced and summarized. Furthermore, the integration of analysis technology and chemometrics method (e.g., class-modeling, discrimination, and regression method) have also been discussed. Each integration shows different applicability depending on their advantages, drawbacks, and some factors, such as the explicit objective analysis or the nature of four types of HMs fraud. In an attempt to better solve four typical HMs fraud, appropriate analytical strategies are advised and illustrated with several typical studies. The article provides a general workflow of analysis methods that have been used for detection of HMs fraud. All analysis technologies and chemometrics methods applied can conduce to excellent reference value for further exploration of analysis methods in HMs fraud.

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