GC-MS联用技术结合化学计量学方法分析厚朴叶挥发油成分

利用水蒸气蒸馏法提取湖南产厚朴叶的挥发油成分,采用GC-MS联用技术结合化学计量学方法(直观推导式演进特征投影法和选择性离子法)进行分析,同时结合程序升温保留指数辅助定性。结果共鉴定出54种化合物,占挥发油总量的84.95%。主要化学成分为α-、β-和γ-桉油醇,含量分别为13.10%、28.21%和14.67%。此外,含量较高的化合物还有α-蒎烯(2.96%)、芳樟醇(1.71%)、丹皮酚(1.88%)、石竹烯(2.04%)、佛术烯(3.60%)、α-瑟林烯(3.84%)和[1AR-(1Aα,4α,4Aβ,7Bα)]-1A,2,3,4,4A,5,6,7B-八氢化-1,1,4,7-四甲基-1H-环丙烯并[E]奥(1.34%)。研究表明,将化学计量学方法用于中药挥发油成分的分析可提高定性分析的准确性。所得结果可为厚朴药植物资源的开发利用提供依据。

Analysis of Volatile Compositions in Leaves of Cortex Magnoliae Officinalis by GC-MS and Chemometrics Methods

Volatile components of Cortex Magnoliae Officinalis leaves from Hunan were extracted by steam distillation and analyzed by gas chromatography-mass spectrometry combined with chemometrics methods,namely heuristic evolving latent projections and selective ion analysis.Temperature-programmed retention indices were used to improve the reliability of qualitative analysis.Total 54 compounds were identified,accounting for 84.95% of the total content of volatile ingredients of the studied sample.The major constituents are alpha-,beta-and gamma-eudesmol,which account for 13.10%,28.21% and 14.67%,respectively.In addition,there are seven compounds with relatively high contents,e.g.alpha-pinene(2.96%),linalool(1.71%),paeonol(1.88%),caryophyllene(2.04%),eremophilene(3.60%),alpha-selinene(3.84%) and 1,1,4,7-tetramethyl-1A,2,3,4,4A,5,6,7B-octahydro-1H-cyclopropa[E]azulene(1.34%).The results indicated that employing chemometric methods in the analysis of the volatile chemical components in Chinese traditional medicines can greatly enhance the accuracy of qualitative analysis.The results obtained is helpful to the plant resources’ exploitation and utilization of Cortex Magnoliae Officinalis.