气质联用技术结合直观推导式演进特征投影法分析枸杞子挥发油成分

Analysis of the volatile oil in fructus lycii（Lycium barbarum L.） by GC-MS and HELP method

目的 采用直观推导式演进特征投影法的化学计量学方法 结合气质联用技术定性分析枸杞子挥发性成分.方法在最佳程序升温条件下,对总离子流图中出现的重叠峰及包埋峰进行最大限度拆分,并以自动质谱解卷积鉴定系统进行识别,鉴定枸杞子中的挥发油成分.结果 直观推导式演进特征投影法结合气质联用技术可有效提高鉴定结果准确率,共成功鉴定出29个枸杞子挥发油成分.结论 直观推导式演进特征投影法结合气质联用技术增加了不能在色谱条件下有效分离物质的鉴定能力,已建立的分析法可用于枸杞子挥发性成分的定性分析.

Objective Gas chromatography-mass spectrometer （GC-MS） technology combined with Heuristic evolving latent projections （HELP） method were used to qualitatively analyze the volatile oil of fructus lycii （Lycium barbarumL.）Methods With the best temperature-programmed chromatographic condition, overlapping peaks among the total ion chromatogram were separated. Then an automatic mass spectral deconvolution and identification system （AMDIS） was used to identify volatile components comprehensively. Finally, the pure chromatographic peaks were matched with NIST 05a mass spectra library for giving the precise qualitative result. Results Totally, 29 compounds in fructus lycii （Lycium barbarum L.） were identified accurately.Conclusions Compared with the traditional qualitative analysis method, the new established method which GC-MS technology combined with HELP could get tremendous advantages. It not merely enhanced the accuracy of identification but also solved the bottleneck of handling the inseverable compounds.