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Trace analysis of alkaline flavors in cut tobacco by heart-cutting multidimensional GC-GC-MS

机译:通过心切多维GC-GC-MS对烟丝中的碱性香料进行痕量分析

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摘要

Tobacco is a complex chemicalmatrix. The analysis of trace alkaline flavors in tobacco is very difficult because of the limited peak capacity of monodimensional GC. In the present study, a home-assembled twin-oven GC-GC-MS system, with MS detection in both dimensions, has been applied to the analysis of 20 alkaline volatiles in a variety of cut-tobacco samples. By transferring nine and six heart-cuts from the first apolar column to the second polar column in two separate runs, the potential mutual interference of adjacent isomeric targets and the complex matrix could be removed. For comparative purposes, a systematic comparison of both quantification and qualification results for the cut-tobacco sample as quality control was conducted between GC-GC-MS and GC-MS. The results showed that GC-GC-MS provided higher accuracy in peak assignment and quantification. And in GC-MS, the interferences of co-elution had caused both low matched similarity in peak assignment and false-negative/-positive results in quantification for some targets. Advantages of the developed GC-GC-MS method in the analysis of alkaline flavors are its high resolving power, reliability, and simplicity.
机译:烟草是一种复杂的化学基质。由于一维GC的峰容量有限,因此很难分析烟草中的痕量碱性香料。在本研究中,具有二维检测功能的家用双炉GC-GC-MS系统已用于分析各种切烟样品中的20种碱性挥发物。通过在两个单独的运行中将九个和六个心切点从第一非极性色谱柱转移到第二极性色谱柱,可以消除相邻异构体靶标和复杂基质的潜在相互干扰。为了进行比较,在GC-GC-MS和GC-MS之间对烟丝样品的定量和鉴定结果进行了系统的比较,作为质量控制。结果表明,GC-GC-MS在峰分配和定量分析方面提供了更高的准确性。在GC-MS中,共洗脱的干扰既导致峰匹配的匹配度较低,又导致某些目标物的定量分析结果出现假阴性/阳性结果。所开发的GC-GC-MS方法在分析碱性香料中的优势在于其高分辨能力,可靠性和简便性。

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