HS-SPME-GC-MS联用技术分析不同产地艾叶挥发性成分

刘梦菲; 江汉美; 肖宇硕; 孟佳敏

doi:10.13422/j.cnki.syfjx.20180917

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HS-SPME-GC-MS联用技术分析不同产地艾叶挥发性成分

化学与分析 | 更新时间：2024-01-04

- HS-SPME-GC-MS联用技术分析不同产地艾叶挥发性成分
- Comparative Analysis of Volatile Components of Artemisiae Argyi Folium from Different Origins Using HS-SPME-GC-MS
- 中国实验方剂学杂志 2018年24卷第10期页码：79-89
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- DOI：10.13422/j.cnki.syfjx.20180917
  中图分类号： R284.1
- 纸质出版日期：2018
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刘梦菲, 江汉美, 肖宇硕, 等. HS-SPME-GC-MS联用技术分析不同产地艾叶挥发性成分[J]. 中国实验方剂学杂志, 2018,24(10):79-89.

LIU Meng-fei, JIANG Han-mei, XIAO Yu-shuo, et al. Comparative Analysis of Volatile Components of Artemisiae Argyi Folium from Different Origins Using HS-SPME-GC-MS[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(10): 79-89.
刘梦菲, 江汉美, 肖宇硕, 等. HS-SPME-GC-MS联用技术分析不同产地艾叶挥发性成分[J]. 中国实验方剂学杂志, 2018,24(10):79-89. DOI： 10.13422/j.cnki.syfjx.20180917.

LIU Meng-fei, JIANG Han-mei, XIAO Yu-shuo, et al. Comparative Analysis of Volatile Components of Artemisiae Argyi Folium from Different Origins Using HS-SPME-GC-MS[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(10): 79-89. DOI： 10.13422/j.cnki.syfjx.20180917.

摘要

目的：采用顶空固相微萃取-气相色谱-质谱（HS-SPME-GC-MS）联用技术分析湖北蕲春、江苏南通、浙江台州、云南楚雄和新疆乌鲁木齐5个不同产地的13批艾叶中挥发性成分的含量及分布特征，为蕲艾的道地性的研究提供科学依据，并为艾叶资源的合理利用提供科学参考。方法：采用顶空固相微萃取技术，结合气相色谱-质谱法（GC-MS）对不同产地的13批艾叶中挥发性成分进行分析鉴定，利用峰面积归一化法测定各成分的相对百分含量，并用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进行分析。结果：初步鉴定出了187种化合物，主要为烯类、醇类和酮类化合物，不同产地及不同品种艾叶中的挥发性成分具有一定差异，其中湖北蕲春所产的五尖艾品质最好。结论：顶空固相微萃取法操作简便、萃取速度快、使用成本低，采用顶空固相微萃取与气相色谱-质谱联用的方法稳定可靠，适用于艾叶中挥发性成分的快速分析，为艾叶的内在质量评价提供一定的科学依据，并为艾叶资源的合理利用提供科学参考。

Abstract

Objective: To analyze the content and distribution characteristics of volatile components in Artemisiae Argyi Folium of different regions by HS-SPME-GC-MS

in order to provide the scientific basis for the study of the geographical origin and the scientific reference for the rational utilization of Artemisiae Argyi Folium. Method: The volatile components were investigated by HS-SPME-GC-MS based on the agilent productivity Chem Station and quantified roughly by peak area normalization method. The data were analyzed by principal component analysis (PCA) and cluster analysis (CA). Result: One hundred and eighty-seven components were preliminarily identified as mainlyketones

alkenes

aldehydes and alcohols. There were significant differences in essential components of Artemisiae Argyi Folium from different origins. Artemisiae Argyi Folium from Qichun in Hubei province had the best quality. Conclusion: The method of headspace solid phase microextraction is simple and convenient

with a fast extraction speed and low use cost. The method of headspace solid phase microextraction and gas chromatography-mass spectrometry is stable and reliable

and suitable for the rapid analysis of volatile components in leaves

and provide a scientific basis for the rational use of the resources.

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