建立了烟叶中挥发性、半挥发性碱性化合物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,并用所建立的方法对香料烟中碱性化合物进行了表征.对比了一维气相色谱和全二维色谱方法用于烟叶碱性组分组成分析的效果.一维色谱质谱方法共鉴定出45种碱性化合物.用所建立的全二维气相色谱方法,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,鉴定出了香料烟中挥发性、半挥发性碱性组分共92种.包括吡咯类化合物6种,吡啶类化合物39种,吡嗪类化合物10种,苯胺类化合物11种,喹啉类化合物11种,吲哚类4种和其他类化合物11种.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.研究结果表明.伞二维色谱飞行时间质谱的高分辨率和特有的定性手段适合于烟叶这类复杂植物体系的化学组成研究.
Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry (GC ×GC-TOFMS) has been applied for characterization of volatile and semi-volatile alkaline compounds in oriental tobacco leaf. Simultaneous distillation extraction (SDE) was used as the sample extraction method. Two types of column set were compared, and appropriate GC × GC separation conditions were suggested. The results showed that the peaks detected by GC× GC method were far more than that by 1DGC. The separation behavior on 2D plot of different kinds of compounds was investigated. TOFMS library search combining structured chromatogram of GC × GC was used to identify the nitrogen-containing compounds in tobacco leaf. A total of 92 alkaline compounds were tentatively identified. The results showed that GC × GC/TOFMS method is suitable for separation and identification of complex system.