Zhejiang Institute for Food and Drug Control, Hangzhou 310052, China.
NMPA Key Laboratory for Quality Evaluation of Traditional Chinese Medicine (Traditional Chinese Patent Medicine), Hangzhou 310052, China.
Molecules. 2022 Jul 15;27(14):4537. doi: 10.3390/molecules27144537.
Volatile components are important active ingredients of Rutaceae. In this study, HS-GC-IMS (headspace-gas chromatography-ion mobility spectrometry) was used to study the volatile compounds of Qu Aurantii Fructus, and a total of 174 peaks were detected, 102 volatile organic compounds (131 peaks) were identified. To compare the volatile compounds of Qu Aurantii Fructus with its similar medical herb, Aurantii Fructus, and their common adulterants, principal component analysis (PCA) and cluster analysis (CA) were performed based on the signal intensity of all the detected peaks. The results showed that Qu Aurantii Fructus and Aurantii Fructus ( L.) were clustered into one group, while their common adulterants could be well distinguished in a relatively independent space. In order to distinguish Qu Aurantii Fructus from Aurantii Fructus, the peaks other than the average intensity ±2 standard deviation (95% confidence interval) were taken as the characteristic components by using the Gallery Plot plug-in software. Additionally, the fingerprint method was established based on the characteristic compounds, which can be used to distinguish among Qu Aurantii Fructus, Aurantii Fructus and their common adulterants quickly and effectively. We found that the characteristic components with higher content of Qu Aurantii Fructus were nerol, decanal, coumarin and linalool. This study provides a novel method for rapid and effective identification of Qu Aurantii Fructus and a new dimension to recognize the relationship between Qu Aurantii Fructus and Aurantii Fructus.
挥发性成分是芸香科植物的重要活性成分。本研究采用顶空-气相色谱-离子迁移谱（HS-GC-IMS）法对枳实的挥发性成分进行研究，共检测到 174 个峰，鉴定出 102 种挥发性有机化合物（131 个峰）。为了比较枳实与其相似药用植物酸橙及常见掺伪品的挥发性成分，基于所有检测到的峰的信号强度，采用主成分分析（PCA）和聚类分析（CA）对其进行比较。结果表明，枳实和酸橙（L.）聚为一类，而它们的常见掺伪品则可以在相对独立的空间中很好地区分。为了将枳实与酸橙区分开来，采用 Gallery Plot 插件软件，将平均强度±2 个标准差（95%置信区间）以外的峰作为特征成分。此外，还基于特征化合物建立了指纹图谱法，可用于快速有效地鉴别枳实、酸橙及其常见掺伪品。研究发现，枳实中含量较高的特征成分为橙花醇、癸醛、香豆素和芳樟醇。本研究为枳实的快速有效鉴别提供了一种新方法，为认识枳实与酸橙的关系提供了新视角。
