摘要
采用GC-MS法对3个生产厂家的12个卷烟样品的烟气挥发性成分进行了测定,构建了其指纹图谱。并采用聚类分析法和基于主成分分析的投影判别法对其指纹图谱进行了模式识别。结果表明,采用聚类分析法和基于主成分分析的投影判别法均可对供试卷烟样品进行正确分类。
The volatile components in smoke of 12 cigarette samples from 3 producer were determined by using GC-MS method to establish fingerprints.The patterns of their fingerprints were recognized by using clustering analysis and projection judging method based on principal component analysis.The results showed that the tested cigarette samples could be classified correctly by using clustering analysis and projection judging method based on principal component analysis.
出处
《安徽农业科学》
CAS
北大核心
2010年第25期13834-13836,共3页
Journal of Anhui Agricultural Sciences
基金
广西中烟工业有限责任公司2009年科技创新项目(20090043)
关键词
卷烟
指纹图谱
聚类分析
主成分分析
Cigarette
Fingerprint
Clustering analysis
Principal component analysis
