Non-target metabolomics based on high-resolution mass spectrometry combined with chemometric analysis for discriminating geographical origins of Rhizoma Coptidis

黄连 黄连 巴马汀 小檗碱 偏最小二乘回归 代谢组学 传统医学 质谱法 色谱法 化学 线性判别分析 人工智能 中医药 数学 计算机科学 医学 统计 病理 有机化学 替代医学
作者
Shurui Cao,Hua Du,Bobin Tang,Cunxian Xi,Zhiqiong Chen
出处
期刊:Microchemical Journal [Elsevier BV]
卷期号:160: 105685-105685 被引量:25
标识
DOI:10.1016/j.microc.2020.105685
摘要

Non-target metabolomics, a novel analysis approach based on UPLC-HRMS combined with chemometric, was established for determining origins of Rhizoma Coptis and screening the differential markers. 11 powerful discrimination markers were firstly found and applied for determining the geographical origins of Rhizoma Coptis. Among them, Groenlandicine, Bicuculline, Berberine, Phellodendrine and Ethyl caffeate, as effective markers, were used for distinguishing the samples from Chongqing (CQ) and Sichuan (SC). Hydroprotopine, Chelidonine and Pinoresinol were used for distinguishing the samples from Chongqing (CQ) and Hubei (HB). Tetrandrine, Palmatine and Pycnamine were used for distinguishing the samples from HB and SC. Meanwhile, the reliable orthogonal partial least squares discriminant analysis (OPLS-DA) models were established based on these markers and the samples from different origins were successfully discriminated, as well as the accuracy was up to 100%. It showed that the established models could be used for predicting the geographic origins of unknown Rhizoma Coptidis samples, and those markers could provide a guidance for discriminating origins of Rhizoma Coptis. In conclusion, non-target metabolomics based on high-resolution mass spectrometry combined with chemometric could serve as a valid strategy to analyze the origins, such as Rhizoma Coptis .
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