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基于现代分析技术与化学计量学方法的草药欺诈检测:综述。

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

机构信息

Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China.

School of Agriculture, Yunnan University, Kunming, China.

出版信息

Crit Rev Anal Chem. 2022;52(7):1606-1623. doi: 10.1080/10408347.2021.1905503. Epub 2021 Apr 12.

Abstract

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.

摘要

草药(HM)中的欺诈行为在人类历史上屡见不鲜,与药物疗效密切相关,有时甚至会导致致命后果。主要的 HM 欺诈事件似乎具有一定的规律性,例如假冒伪劣产品的替代、劣质生产自有材料的掺假、化学化合物的掺假以及异物的掺假。评估 HM 欺诈行为是保障消费者免受这四种欺诈活动侵害的迫切需要。在这篇综述中,介绍并总结了三种分析平台(靶向、非靶向和非靶向与靶向分析的结合)。此外,还讨论了分析技术和化学计量学方法(例如,分类模型、判别和回归方法)的整合。每种整合都因其优势、缺点以及一些因素(例如明确的目标分析或四种 HM 欺诈类型的性质)而显示出不同的适用性。为了更好地解决四种典型的 HM 欺诈问题,建议采用适当的分析策略,并结合几个典型的研究进行说明。本文提供了一种用于检测 HM 欺诈的分析方法的一般工作流程。所应用的所有分析技术和化学计量学方法都可以为进一步探索 HM 欺诈中的分析方法提供极好的参考价值。

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