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茅苍术挥发油的气相色谱-质谱指纹图谱研究
引用本文:欧阳臻,杨凌,宿树兰,冯煦,王鸣.茅苍术挥发油的气相色谱-质谱指纹图谱研究[J].药学学报,2007,42(9):968-972.
作者姓名:欧阳臻  杨凌  宿树兰  冯煦  王鸣
作者单位:1. 江苏大学,药学院,制药工程系,江苏,镇江,212013
2. 江苏省中国科学院植物研究所,江苏,南京,210094
基金项目:江苏省科技厅自然科学基金
摘    要:用气相色谱-质谱联用技术(GC-MS)分析不同产地17个茅苍术样品,研究茅苍术挥发油的指纹图谱,为茅苍术的内在质量评价和鉴定提供特征性数据。采用“中药指纹图谱相似性计算”软件进行模式分析及相似度计算并进行SPSS聚类分析;建立道地茅苍术的特征指纹图谱并研究有效成分之间的配比。建立了5批道地茅苍术的共有指纹图谱模式,挥发油中苍术酮、茅术醇、 β-桉叶醇和苍术素4种有效成分呈一特定的配比关系,即(0.89~1.12)∶(0.11~0.15)∶(0.48~0.61)∶1;相似度计算结果表明不同产地茅苍术与道地的相比差异明显;聚类分析结果可分为2大类,道地产区可与江苏汤山的和江苏南山的聚为一类,安徽和湖北的聚为一类。茅苍术指纹图谱的建立和有效成分配比关系分析结合聚类分析的方法可用于茅苍术质量控制,为全面有效评价茅苍术质量提供可靠依据。

关 键 词:茅苍术  挥发油  GC-MS  指纹图谱
文章编号:0513-4870(2007)09-0968-05
收稿时间:2007-02-26
修稿时间:2007-02-26

Fingerprint of volatile oil of Atractylodes lancea by GC-MS
OUYANG Zhen,YANG Ling,SU Shu-lan,FENG Xu,WANG Ming.Fingerprint of volatile oil of Atractylodes lancea by GC-MS[J].Acta Pharmaceutica Sinica,2007,42(9):968-972.
Authors:OUYANG Zhen  YANG Ling  SU Shu-lan  FENG Xu  WANG Ming
Institution:1. Department of Pharmaceutic Engineering, College of Pharmacy, Jiangsu University, Zhenjiang 212013, China ; 2. Jiangsu Institute of Botany, China Academy of Sciences, Nanfing 210014, China
Abstract:To study the fingerprint of the volatile oil of Atractylodes lancea (Thunb.) DC., and to offer the characteristic data for the quality evaluation, GC-MS analysis was performed for 17 samples of different areas used as Atractylodes lancea (Thunb.) DC. Nine kinds of same components were selected. TIC profiles were evaluated by "Computer Aided Similarity Calculation". The characteristic peaks in chromatograms were identified by comparing mass data with literatures. Hierarchical clustering analysis was performed by SPSS based on the relative peak area (RPA) of identified peak to atractydin in 17 samples. The mutual mode fingerprint plots of genuine Atractylodes lancea (Thunb.) DC. have been established, the matching of active components was characteristic that atractylon, hinesol, beta-eudesmol, atractydin as (0.89 - 1.12): (0.11 - 0.15) : (0.48 - 0.61) : 1. The difference of resemblance of not genuine samples with genuine samples was remarkable. Two categorizations were clustered. Atractylodes lancea (Thunb.) DC. from genuine and Tangshan and Nanshan, Jiangsu Prov. were in a group, while those from Anhui and Hubei Prov. were in another group. The characteristic fingerprint of genuine Atractylodes lancea (Thunb.) DC. combined with the study of the matching of active components for the quality control and the resemblance calculation of fingerprints and SPSS hierarchical clustering analysis provided a new analytic method for the quality evaluation and discrimination of Atractylodes lancea (Thunb.) DC.
Keywords:GC-MS
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