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基于超高效液相色谱四极杆/飞行时间质谱代谢组学方法对人参和西洋参叶片的鉴别

Discrimination of leaves of Panax ginseng and P. quinquefolius by ultra high performance liquid chromatography quadrupole/time-of-flight mass spectrometry based metabolomics approach.

作者信息

Mao Qian, Bai Min, Xu Jin-Di, Kong Ming, Zhu Lin-Yin, Zhu He, Wang Qiang, Li Song-Lin

机构信息

Department of Pharmaceutical Analysis & Metabolomics, Jiangsu Province Academy of Traditional Chinese Medicine and Jiangsu Branch of China Academy of Chinese Medical Sciences, Nanjing, PR China.

Department of Pharmaceutical Analysis & Metabolomics, Jiangsu Province Academy of Traditional Chinese Medicine and Jiangsu Branch of China Academy of Chinese Medical Sciences, Nanjing, PR China; State Laboratory of Modern Chinese Medicines, China Pharmaceutical University, Nanjing, PR China.

出版信息

J Pharm Biomed Anal. 2014 Aug;97:129-40. doi: 10.1016/j.jpba.2014.04.032. Epub 2014 May 2.

Abstract

In present study, an ultra high performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS/MS) based metabolomics approach was established to investigate the metabolic profiles and characteristic chemical markers for distinguishing between leaves of Panax ginseng (LPG) and Panax quinquefolius (LPQ). The UHPLC-QTOF-MS/MS data were subjected to principal component analysis (PCA) and orthogonal partial least squared discrimination analysis (OPLS-DA) to rapidly find the potential characteristic components of LPG and LPQ, and the identities of detected peaks including the potential characteristic components were elucidated. Totally, 86 components were identified from these 2 kinds of leaf samples, in which 9 ginsenosides could be regarded as the characteristic chemical markers for the discrimination of LPG from LPQ. These results suggested that UHPLC-QTOF-MS/MS based metabolomics approach is a powerful tool to rapidly find characteristic markers for the quality control of LPG.

摘要

在本研究中,建立了一种基于超高效液相色谱/四极杆飞行时间质谱(UHPLC-QTOF-MS/MS)的代谢组学方法,以研究人参叶(LPG)和西洋参叶(LPQ)的代谢谱及区分二者的特征化学标志物。对UHPLC-QTOF-MS/MS数据进行主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA),以快速找到LPG和LPQ的潜在特征成分,并阐明包括潜在特征成分在内的检测峰的身份。从这两种叶样品中共鉴定出86种成分,其中9种人参皂苷可被视为区分LPG和LPQ的特征化学标志物。这些结果表明,基于UHPLC-QTOF-MS/MS的代谢组学方法是快速找到用于LPG质量控制的特征标志物的有力工具。

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