摘要
为实现烟叶原料焦油和烟碱的快速检测,分别用烟丝(111个)和烟末(204个)样品建立了原烟卷烟主流烟气中焦油和烟碱的近红外模型,研究表明两种样品状态均能建立其近红外速测模型,且烟气烟碱的校正模型较好。用烟末建立的焦油和烟碱的校正模型略好于用烟丝建立的模型,其内部交叉验证均方差(RMSECV)分别为0.211和1.90,烟丝内部交叉验证均方差(RMSECV)分别为0.257和2.04。并对样品量较大的烟末模型进行了外部验证,2个模型预测值与标准值的平均相对偏差分别为5.13和5.93,t-检验表明预测值和标准值之间没有显著性差异,且系统精密度良好,可以用于大量样品的快速检测。
In order to realize rapid detection of tar and nicotine in the cigarette,the near infrared（NIR） detection model for tar and nicotine in raw tobacco was established by 111 samples of cut tobacco and 204 samples of tobacco powder. The research showed that such NIR rapid detection model for two kinds of tobacco samples could be established, and the nicotine calibration model was better. The calibration model established through tobacco powder was better than which established through cut tobacco. The root mean square error of cross-validation （RMSECV） of the former was 0.211 and 1.90, and the RMSECV of the latter was 0.257 and 2.04. To verify the model established through tobacco powder, the mean relative deviation between the calculated value and the actual value for nicotine and tar was 5.13 and 5.93 respectively. The t-test showed good systematic precision, and there was no significant difference between the calculated value and the actual value, so the NIR model could be applied to rapid detection of mass sample.
出处
《红外技术》
CSCD
北大核心
2014年第3期249-254,共6页
Infrared Technology
基金
中国烟草总公司烤烟烟叶原料安全性评价体系研究
