College of Biochemical Engineering, Beijing Union University, Beijing 100023, China.
Beijing Key Laboratory of Bioactive Substances and Functional Food, Beijing Union University, Beijing 100023, China.
Molecules. 2023 Jun 21;28(13):4883. doi: 10.3390/molecules28134883.
Headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and principal component analysis (PCA) were used to compare the differences in volatile organic compounds (VOCs) of (Tian Ma) from six different origins in Yunnan, Sichuan, Shaanxi, Anhui, Hubei, and Guizhou. A total of 161 signal peaks were identified, and 84 compounds were characterized, including 23 aldehydes, 19 alcohols, 12 ketones, 8 heterocyclic compounds, 7 esters, 4 phenols, 4 acids, 4 ethers, 2 amines, and 1 alkane. The results of cluster analysis and fingerprint similarity analysis based on principal component analysis and Euclidean distance indicated that there were significant differences between the volatile components of from different origins. This study demonstrated that HS-GC-IMS is simple, rapid, accurate, and has a small sample size and can achieve rapid analysis of the differences in volatile compounds between samples of different origins of .
采用顶空-气相色谱-离子迁移谱联用技术（HS-GC-IMS）和主成分分析（PCA）比较了来自云南、四川、陕西、安徽、湖北和贵州 6 个不同产地的天麻中天麻素的挥发性有机化合物（VOCs）的差异。共鉴定出 161 个信号峰，鉴定出 84 种化合物，包括 23 种醛类、19 种醇类、12 种酮类、8 种杂环类化合物、7 种酯类、4 种酚类、4 种酸类、4 种醚类、2 种胺类和 1 种烷烃。基于主成分分析和欧几里得距离的聚类分析和指纹相似度分析结果表明，不同产地天麻中天麻素的挥发性成分存在显著差异。该研究表明，HS-GC-IMS 简单、快速、准确，样品用量小，可实现不同产地天麻素样品中挥发性化合物差异的快速分析。
