烟草科技Issue(5)：35-39,5.
基于卷烟辅助材料参数的卷烟烟气有害成分预测模型
Regression Models Between Harmful Components in Cigarette Smoke and Parameters of Cigarette Material
摘要
Abstract
In order to study the influences of cigarette material on the deliveries of harmful components (CO, NNK, NH3, HCN, BaP, phenol, crotonaldehyde, nicotine and tar) in mainstream cigarette smoke, orthogonal tests were conducted and the prediction models of these components related to the parameters of cigarette material were developed with multiple linear regression and stepwise regression, and further, the fittest models were selected by RMSECV (Root Mean Squares Error of Cross Validation). The selected models were validated by cigarette samples of different blends, the average relative prediction errors of CO, NNK, NH3, HCN, BaP, crotonaldehyde, phenol, nicotine and tar were 6.9%, 8.7%, 6.6%, 11.8%, 4.1%, 8.2%, 5.3%, 4.0% and 4.8%, respectively.关键词
卷烟/辅助材料/烟气/有害成分/预测模型Key words
Cigarette/ Material/ Cigarette smoke/ Harmful component/ Prediction model分类
轻工纺织引用本文复制引用
赵乐,何书杰,聂聪,彭斌,于川芳,刘克建,赵晓东,向能军,孟昭宇,张高峰,杨军..基于卷烟辅助材料参数的卷烟烟气有害成分预测模型[J].烟草科技,2012,(5):35-39,5.基金项目
国家烟草专卖局重点科技项目“卷烟辅助材料参数对主流烟气HOFFMANN分析物的影响研究”(110200701010). （110200701010）
