Metabolomic Classification for Species of Gentianae Macrophyllae Radix by H-NMR and Principal Component Analysis

YANG Feng-xian; CHEN Lian-hong; LI Rong-jiao; Brian D. McGarvey; WANG Xiao-ling

doi:10.13422/j.cnki.syfjx.2015160036

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Metabolomic Classification for Species of Gentianae Macrophyllae Radix by H-NMR and Principal Component Analysis

更新时间：2024-01-04

- Metabolomic Classification for Species of Gentianae Macrophyllae Radix by H-NMR and Principal Component Analysis
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 21, Issue 16, Pages: 36-39(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2015160036
  CLC： R282.5
- Published：2015
- 稿件说明：
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YANG Feng-xian, CHEN Lian-hong, LI Rong-jiao, et al. Metabolomic Classification for Species of Gentianae Macrophyllae Radix by H-NMR and Principal Component Analysis[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(16): 36-39.
DOI：

YANG Feng-xian, CHEN Lian-hong, LI Rong-jiao, et al. Metabolomic Classification for Species of Gentianae Macrophyllae Radix by H-NMR and Principal Component Analysis[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(16): 36-39. DOI： 10.13422/j.cnki.syfjx.2015160036.

摘要

目的: 以多基原药材秦艽为研究对象

应用核磁共振氢谱(1H-NMR)和主成分分析方法(PCA)鉴别不同来源秦艽药材。方法: 将5种不同秦艽药材在相同条件下进行溶剂提取

采用核磁共振波谱仪进行检测

图谱进行数据处理、聚类分析和PCA。结果: 通过聚类分析可很好地区分5种秦艽药材;在PCA中提取了6个主成分

累计贡献率达98.9%

前2个主成分累积贡献率达76.9%

能解释原变量信息的76.9%

在以主成分1和主成分2为横纵坐标的得分散点图上实现了不同基原秦艽药材的区分。结论: 1H-NMR结合PCA是一种有效的药材资源鉴别研究方法

能全面反映不同基原药材的全成分且前处理方便

可作为分类鉴别不同来源药材的手段之一。

Abstract

Objective: To develop methodology for significant discrimination of different groups of Gentianae Macrophyllae Radix based on 1H-NMR analysis combined with principal component analysis (PCA). Method: Five groups of Gentianae Macrophyllae Radix were extracted by the same method

1H-NMR spectra were obtained using a 400 MHz NMR spectrometer.Then data were analyzed by hierarchical cluster analysis and PCA. Result: Different groups of Gentianae Macrophyllae Radix could be discriminated by hierarchical cluster analysis.Furthermore

6 principal components were extracted in PCA

their cumulative contribution rate was 98.9%

and loading plot of PC1 and PC2 explained 76.9% of the original variance. Conclusion: 1H-NMR combined with PCA is an effective method for discrimination of Chinese medicines

its pre-treatment is convenient

therefore it can be used as a valuable means for discrimination of different groups of herbal medicines.

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Related Author

Min-yong ZHONG

Ri-fa QIAO

Tao LUO

Lin YANG

Wu-liang YANG

Jin-bin YUAN

Yan MENG

Wu-yi LI

Related Institution

Key Laboratory of Modern Preparation of Traditional Chinese Medicine，Ministry of Education，Jiangxi University of Chinese Medicine

The First Affiliated Hospital of Nanchang University

Key Laboratory of Modern Preparation of Traditional Chinese Medicine （TCM），Ministry of Education，Jiangxi University of TCM

College of Biological and Food Engineering，The Chongqing Engineering Laboratory for Green Cultivation and Deep Processing of The Three Gorges Reservoir Area's Medicinal Herbs，Chongqing Three Gorges University

Chongqing Wanzhou Food and Drug Inspection Institute

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