HS-SPME-GC-MS结合化学计量法对不同产地艾叶药材挥发性成分的比较分析

梁欢; 卢金清; 戴艺; 李肖爽; 郭胜男

doi:10.13422/j.cnki.syfjx.2014180085

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HS-SPME-GC-MS结合化学计量法对不同产地艾叶药材挥发性成分的比较分析

化学与分析 | 更新时间：2024-01-04

- HS-SPME-GC-MS结合化学计量法对不同产地艾叶药材挥发性成分的比较分析
- Comparative Analysis of Volatile Components of Artemisiae Argyi Folium from Different Origins Using HS-SPME-GC-MS Combined with Chemometrics Analysis
- 中国实验方剂学杂志 2014年20卷第18期页码：85-90
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- DOI：10.13422/j.cnki.syfjx.2014180085
  中图分类号： O657.63;R284.1
- 纸质出版日期：2014
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梁欢, 卢金清, 戴艺, 等. HS-SPME-GC-MS结合化学计量法对不同产地艾叶药材挥发性成分的比较分析[J]. 中国实验方剂学杂志, 2014,20(18):85-90.

LIANG Huan, LU Jin-qing, DAI Yi, et al. Comparative Analysis of Volatile Components of Artemisiae Argyi Folium from Different Origins Using HS-SPME-GC-MS Combined with Chemometrics Analysis[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(18): 85-90.
梁欢, 卢金清, 戴艺, 等. HS-SPME-GC-MS结合化学计量法对不同产地艾叶药材挥发性成分的比较分析[J]. 中国实验方剂学杂志, 2014,20(18):85-90. DOI： 10.13422/j.cnki.syfjx.2014180085.

LIANG Huan, LU Jin-qing, DAI Yi, et al. Comparative Analysis of Volatile Components of Artemisiae Argyi Folium from Different Origins Using HS-SPME-GC-MS Combined with Chemometrics Analysis[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(18): 85-90. DOI： 10.13422/j.cnki.syfjx.2014180085.

摘要

目的：建立艾叶挥发性成分的快速分析方法，研究不同产地艾叶挥发性成分的含量及分布特征。方法：采用顶空固相微萃取-气相色谱-质谱（HS-SPME-GC-MS）联用技术，结合安捷伦化学工作站对不同产地的艾叶中挥发性化学成分进行定性分析，以峰面积归一化法计算各组分的相对含量，并通过化学计量法主成分分析和聚类分析对艾叶中的挥发性成分含量进行分析。结果：初步鉴定出84种化合物，主要为酮类、烯类、醇类化合物。不同产地艾叶挥发性成分有一定差异，采用主成分分析及聚类分析法能有效区分不同产地的艾叶，其中湖北蕲春产的艾叶品质最好，其次为湖南广布、河南汤阴的艾叶质量较佳，聚类分析结果将不同产地艾叶分为5类。结论：此方法稳定可靠，适用于艾叶挥发性成分的快速分析，并为艾叶挥发性成分的质量评价提供一定的科学依据。

Abstract

Objective: The aim of this study was to establish a rapid method to analyze the volatile components of Artemisiae Argyi Folium and to study the content and distribution characteristics of Artemisiae Argyi Folium from different habitats. Method: The volatile components were investigated by HS-SPME-GC-MS based on the agilent productivity Chem Station and were quantified roughly by peak area normalization method.The data were analyzed by principal component analysis(PCA) and cluster analysis(CA). Result: Eighty-four components were identified preliminarily

which were mainlyketones

alkenes

aldehydes and alcohols. There were significant differences in essential components of Artemisiae Argyi Folium from different habitats. It can be distinguished effectively by principal component analysis and cluster analysis.The quality of Artemisiae Argyi Folium from Qichun of Hubei province was the best

followed by from Guangbu of Hunan province and Tangying of Henan province.The results of the cluster analysis revealed five main clusters. Conclusion: The method is reliable and stable. This method can be applied to analyze the volatile components of Artemisiae Argyi Folium. It will provide the scientific basis for quality assessment of Artemisiae Argyi Folium.

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