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Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis

文献类型： 外文期刊

作者： Pan, Yu 1 ; Zhang, Ji 1 ; Shen, Tao 3 ; Zhao, Yan-Li 1 ; Wang, Yuan-Zhong 1 ; Li, Wan-Yi 1 ;

作者机构： 1.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650200, Peoples R China

2.Yunnan Univ Tradit Chinese Med, Coll Tradit Chinese Med, Kunming 650500, Peoples R China

3.Yuxi Normal Univ, Coll Resources & Environm, Yuxi 653100, Peoples R China

关键词： Gentiana rhodantha;Chemical fingerprint;LC-UV-MS/MS;Geographical origins;Characteristic compounds

期刊名称：BMC BIOCHEMISTRY （ 2020影响因子：4.059； 五年影响因子：2.24 ）

ISSN： 1471-2091

年卷期： 2015 年 16 卷

页码：

收录情况： SCI

摘要： Backgrounds: Gentiana rhodantha, a rich source of iridoids and polyphenols, is a traditional ethnomedicine widely used in China. Metabolic fingerprinting based on a LC-UV-MS/MS method was applied to explore the chemical markers for discrimination of Gentiana rhodantha from different geographical origins. Results: Targeted compounds were separated on a Shim-pack XR-ODS III (150 x 2.0 mm, 2.2 mu m), with a mobile phase consisted of acetonitrile and 0.1% formic acid in water, under gradient elution. In quantitative analysis, all of the calibration curves showed good linear regression (R-2 < less than 0.9991) within the tested ranges, and accuracy ranged from 97.8% to 104.2% and the %RSD of precision (less than 3%) were all within the required limits. The most abundant mangiferin (82.21 mg/g) found in sample from Zunyi, Guizhou province. Furthermore, 64 samples according to their geographical origins, could be classified by partial least-squares discriminate analysis (PLS-DA) and nine compounds including two new compounds identified by mass spectrometry could be regarded as characteristic compounds for discriminating samples from different geographical origins. Conclusions: The developed method appears to be a useful tool for analysis of Gentiana rhodantha, which could provide potential indicators for differentiation of different geographical origins.

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