中草药2026，Vol.57Issue(11)：4135-4146,12.DOI:10.7501/j.issn.0253-2670.2026.11.006
电子鼻联合化学计量学鉴别沉香精油的不同产地及提取方式
Identification of Aquilariae Lignum Resinatum essential oils from different origins and extraction methods using electronic nose combined with chemometrics
摘要
Abstract
Objective To systematically analyze the differences in volatile components of Chenxiang(Aquilariae Lignum Resinatum)essential oil(AEO)from various origins and extraction methods using an electronic nose combined with chemometrics,aiming to establish a novel method for rapid identification of AEO origins and extraction processes.Methods A total of 38 batches of AEO samples were collected from seven major origins using two extraction methods.Their chemical compositions were analyzed using gas chromatography-mass spectrometry(GC-MS),while overall aroma fingerprint information was obtained via electronic nose.Principal component analysis(PCA),partial least squares-discriminant analysis(PLS-DA),and orthogonal partial least squares-discriminant analysis(OPLS-DA)were comprehensively applied for pattern recognition of multi-source data.Results GC-MS analysis revealed that the common major components in all samples were benzylacetone,agarospirol,dehydro furanone,and 2-(2-phenylethyl)chromone.Seven key differential compounds,including 2-(2-phenylethyl)chromone and 6-methoxy-2-(2-phenylethyl)chromone,were screened through variable importance projection(VIP＞1).The PCA results of the electronic nose response values show a good correlation with the origin or extraction method of AEO samples.The established OPLS-DA discriminant model exhibited excellent performance:the origin discriminant model achieved RX2=0.839,RY2=0.794,Q2=0.572＞0.500,and the extraction method discriminant model achieved RX2=0.790,RY2=0.647,Q2=0.633＞0.500,which can effectively classify AEO samples.Conclusion This study successfully combined the rapid identification of electronic nose with GC-MS component analysis,which confirmed that the combined strategy could accurately identify the extraction method and geographical origins of AEO,and clarified its material basis,providing an efficient and reliable new method for the classification and identification of AEO.关键词
沉香精油/电子鼻/化学计量学/产地/提取方式/GC-MS/主成分分析/偏最小二乘-判别分析/正交偏最小二乘-判别分析/苄基丙酮/沉香螺醇/去氢呋喃酮/2-(2-苯乙基)色酮/变量重要性投影分类
医药卫生引用本文复制引用
李慧婷,潘登,黄小英,余思嫒,龚梦雅,何华,陈义,杨明..电子鼻联合化学计量学鉴别沉香精油的不同产地及提取方式[J].中草药,2026,57(11):4135-4146,12.基金项目
江西省"赣鄱英才"创新领军人才项目(gpyc20240037) （gpyc20240037）
江西省自然科学基金资助项目(20242BAB20456) （20242BAB20456）
国家自然科学基金资助项目(82404878) （82404878）
海南省重点研发项目(ZDYF2025SHFZ055) （ZDYF2025SHFZ055）
江西中医药大学博士科研启动基金项目(2024BSZR016) （2024BSZR016）
江西中医药大学中药科研实践创新训练项目(24KYCX-ZD014) （24KYCX-ZD014）
