烟丝裂解产物指纹图谱及在卷烟品质评价中的应用

为考察卷烟烟丝裂解产物应用于卷烟品质评价的可能性,建立了获取卷烟烟丝指纹图谱的裂解-气相色谱/质谱(Py-GC/MS)方法,并对4个品牌共20个卷烟样品的烟丝进行了测定;基于烟丝的Py-GC/MS指纹图谱筛选共有峰,采用聚类分析和主成分分析法对数据进行分析评价,建立了卷烟评价模型,并进行了模型验证。结果表明:①利用Py-GC/MS可对卷烟烟丝进行表征,从烟丝的指纹图谱中共筛选出29个共有峰。②通过模式识别,实现了4个品牌的卷烟样品的较好区分。③建立的评价模型对15个建模样品和5个验证样品的正确判别率为100%。该方法简便、快速,可为卷烟品质评价提供参考。

Fingerprinting cut tobacco pyrolysis products and its application in cigarette quality evaluation

In order to investigate potential application of using cut tobacco pyrolysis products for cigarette quality evaluation,a pyrolysis-gas chromatography/mass spectrometry(Py-GC/MS)method was developed for obtaining the fingerprints of cut tobacco of cigarettes.Cigarette samples of 4 brands were analyzed.The common peaks were screened on the basis of Py-GC/MS fingerprints of cut tobacco,and the data were analyzed and evaluated by cluster analysis and principal component analysis.A cigarette evaluation model was established and validated.The results showed that:1)Py-GC/MS could characterize the cut tobacco of cigarettes and 29 common peaks were screened from the fingerprints of cut tobacco.2)Through pattern recognition,the four cigarette brands were distinguished.3)The recognition rate of the established evaluation model reached 100%for both 15 modeling samples and 5 validation samples.This method is simple and rapid,providing a useful reference for cigarette quality evaluation.