中国药物警戒 ›› 2026, Vol. 23 ›› Issue (3): 273-279.
DOI: 10.19803/j.1672-8629.20250423

• 基础与临床研究 • 上一篇    下一篇

基于GC-MS和电子鼻技术探究紫苏叶挥发油的香气物质基础

张美琪1, 钱琪1,2,3, 解泽阳1, 牛丽颖1,2,3#, 王鑫国1,2,3,*   

  1. 1河北中医药大学药学院,河北 石家庄 050091;
    2河北省中药配方颗粒技术创新中心,河北 石家庄 050091;
    3中药材品质评价与标准化河北省工程研究中心,河北 石家庄 050091
  • 收稿日期:2025-06-30 出版日期:2026-03-15 发布日期:2026-03-17
  • 通讯作者: *王鑫国,男,教授·博导,中药药效物质基础研究。E-mail: wangxinguo@hebcm.edu.cn。#为共同通信作者。
  • 作者简介:张美琪,女,在读硕士,中药分析。
  • 基金资助:
    国家中医药管理局科技项目（GZY-KJS-2023-030）; 河北省重点研发计划（23372502D）; 河北省自然科学基金资助项目（H2023423073）; 河北省中医药管理局项目（2024095）

Aromatic Substances of Perillae Folium Volatile Oil Based on GC-MS and E-Nose Technology

ZHANG Meiqi1, QIAN Qi1,2,3, XIE Zeyang1, NIU Liying1,2,3#, WANG Xinguo1,2,3,*   

  1. 1School of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang Hebei 050091, China;
    2Hebei Traditional Chinese Medicine Formula Granule Engineering & Technology Innovate Center, Shijiazhuang Hebei 050091, China;
    3Quality Evaluation & Standardization Hebei Province Engineering Research Center of Traditional Chinese Medicine, Shijiazhuang Hebei 050091, China
  • Received:2025-06-30 Online:2026-03-15 Published:2026-03-17

PDF (PC)

32

摘要： 目的 研究不同产地紫苏叶挥发油成分和气味差异,以探究紫苏叶挥发油的香气物质基础。方法 利用气相色谱-质谱（GC-MS）和电子鼻技术对紫苏叶挥发油从成分和气味2个方面进行多元统计分析,以探索不同产地紫苏叶挥发油成分和气味的差异,通过相关性分析筛选出紫苏叶挥发油香气物质基础。结果 利用GC-MS共鉴定出48个挥发性成分,主要为萜烯类及其氧化物、醇类、酮类化合物;电子鼻能够区分来自广西、河北、安徽的紫苏叶挥发油样品;通过Pearson相关性分析确定芳樟醇、紫苏醛、石竹素、白苏烯酮等19个香气物质基础。结论 GC-MS和电子鼻结合多元统计分析可较好区分不同产地的紫苏叶挥发油,阐明其成分与气味的差异,并确定其香气物质基础,以期为紫苏叶质量评价提供参考。

关键词: 紫苏叶, 挥发油, 香气物质基础, 萜烯类, 醇类, 酮类, 电子鼻, GC-MS

Abstract: Objective To study the differences in the composition and aroma of an volatile oil from Perillae Folium grown in different regions so as to find out about the aromatic substances of such oil. Methods Gas chromatography-mass spectrometry (GC-MS) and E-nose technology were used to conduct multivariate statistical analysis of the composition and aroma of a volatile oil from Perillae Folium grown in different areas in order to find the differences in composition and aroma. The aromatic substances of this volatile oil were screened out via correlation analysis. Results A total of 48 volatile components were identified by GC-MS, represented by terpenes and their oxides, alcohols and ketones. The E-nose could distinguish samples of volatile oils from Perillae Folium grown in Guangxi, Hebei and Anhui provinces. Based on Pearson correlation analysis, 19 aromatic substances were identified, including linalool, perillaldehyde, caryo-phyllene oxide, and egomaketone. Conclusion GC-MS and E-nose combined with multivariate statistical analysis can effectively distinguish the volatile oil of Perillae Folium from different regions, reveal the differences in composition and aroma, and determine the aromatic substances. This study is expected to provide a reference for quality evaluation of Perillae Folium.

Key words: Perillae Folium, Volatile Oil, Aromatic Substances, Terpenes, Alcohols, Ketones, E-Nose, GC-MS

中图分类号: