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化学计量学:草药标准化的新方案。

Chemometrics: A new scenario in herbal drug standardization.

作者信息

Bansal Ankit, Chhabra Vikas, Rawal Ravindra K, Sharma Simant

机构信息

Indo-Soviet Friendship (ISF) College of Pharmacy, Moga, Punjab 142001, India.

出版信息

J Pharm Anal. 2014 Aug;4(4):223-233. doi: 10.1016/j.jpha.2013.12.001. Epub 2014 Jan 1.

DOI:10.1016/j.jpha.2013.12.001
PMID:29403886
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5761221/
Abstract

Chromatography and spectroscopy techniques are the most commonly used methods in standardization of herbal medicines but the herbal system is not easy to analyze because of their complexity of chemical composition. Many cutting-edge analytical technologies have been introduced to evaluate the quality of medicinal plants and significant amount of measurement data has been produced. Chemometric techniques provide a good opportunity for mining more useful chemical information from the original data. Then, the application of chemometrics in the field of medicinal plants is spontaneous and necessary. Comprehensive methods and hyphenated techniques associated with chemometrics used for extracting useful information and supplying various methods of data processing are now more and more widely used in medicinal plants, among which chemometrics resolution methods and principal component analysis (PCA) are most commonly used techniques. This review focuses on the recent various important analytical techniques, important chemometrics tools and interpretation of results by PCA, and applications of chemometrics in quality evaluation of medicinal plants in the authenticity, efficacy and consistency.

摘要

色谱法和光谱技术是草药标准化中最常用的方法,但由于草药化学成分复杂,其体系不易分析。许多前沿分析技术已被引入以评估药用植物的质量,并产生了大量测量数据。化学计量学技术为从原始数据中挖掘更多有用化学信息提供了良好契机。因此,化学计量学在药用植物领域的应用是自然而然且必要的。与化学计量学相关的综合方法和联用技术用于提取有用信息并提供各种数据处理方法,目前在药用植物中应用越来越广泛,其中化学计量学分辨方法和主成分分析(PCA)是最常用的技术。本综述重点关注近期各种重要分析技术、重要化学计量学工具以及PCA对结果的解读,以及化学计量学在药用植物质量评估中关于真伪性、功效和一致性方面的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/cd2fed477a81/fx00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/95219a65a70d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/05d45f26c7ca/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/78bfd332548e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/cd2fed477a81/fx00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/95219a65a70d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/05d45f26c7ca/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/78bfd332548e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0446/5761221/cd2fed477a81/fx00.jpg

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