顶空-气相色谱-质谱联用分析桂花和叶中挥发性成分

Analysis of the Volatile Components from Flowers and Leaves of Osmanthus fragrans Lour. by Headspace-GC-MS

采用谱库检索结合准确质量测定、保留指数、串联质谱技术的多维定性分析策略鉴定化合物,能够提高定性分析的效率和准确性.运用顶空-气相色谱-四极质谱、顶空-气相色谱-飞行时间质谱以及顶空-气相色谱-串联质谱联用技术对桂花样品进行了分析检测,并采用多维定性分析思路对检出的挥发性成分进行了鉴定.结果共确认出47种挥发性成分,其中单萜类和倍半萜类化合物为主要组分.该定性分析策略准确可靠,可以广泛应用于复杂样品挥发性成分的定性分析中.

A multidimensional qualitative analysis approach, consisting of accurate mass measurement, retention index, MS/MS and mass spectrum search, has been proposed to identify compounds, which could improve efficiency and accuracy of qualitative analysis. Headspace-gas chromatography-quadrupole mass spectrometry, headspace-gas chromatography-time of flight mass spectrometry and headspace-gas chromatography-tandem mass spectrometry have been utilized to analyze volatile components from Osmanthus fragrans Lour., which were identified by the above multidimensional qualitative analysis approach. The results showed that 47 volatile compounds were totally identified, of which monoterpene and sesquiterpene compounds were the main components. This qualitative analysis strategy is accurate and reliable, and can be widely applied to qualitative analysis of the volatile components from complex samples.