全二维气相色谱/飞行时间质谱用于烟叶中酸性成分的分离与分析

建立了烟叶中酸性化合物(挥发性、 半挥发性羧酸类和酚类)组成研究的全二维气相色谱/飞行时间质谱(GC×GC-TOFMS)分析方法, 并用此方法对香料烟中的酸性化合物进行了表征. 用同时蒸馏萃取样品的前处理方法, 采用TOFMS谱图库检索结合全二维特有的包含结构信息的二维谱图, 通过族分离和结构谱图, 鉴定出了香料烟中143种挥发性及半挥发性酸性组分, 包括10种酸酐和呋喃二酮, 43种有机酸和90种酚类化合物. 同时对不同类别的化合物在二维气相色谱上的分布模式进行了研究. 结果表明, 全二维气相色谱飞行时间质谱的高分辨率非常适合于烟叶这类复杂体系的分离分析.

Separation and Analysis of Constituents of Acidic Compounds in Tobacco Leaf by Using Comprehensive Two-dimensional Gas Chromatography/Time-of-Flight Mass Spectrometry

Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry(GC×GC-TOFMS) was applied to the  characterization of volatile and semi-volatile acidic compounds in oriental tobacco leaf. Simultaneous distillation extraction(SDE) was used as the sample extraction method. Two types of column sets were compared, and appropriate GC×GC separation conditions were suggested. The separation behavior on two-dimensimal plot of different kinds of compounds were investigated. TOFMS library search combining with  structured chromatogram of GC×GC was used to identify the acidic compounds in tobacco leaf. A total of 143 acidic compounds were tentatively identified, including 10 acid anhydrides, 43 organic acids and 90 phenolic compounds. The results show that GC×GC-TOFMS method is suitable for separation and identification of complex sample.