中国烟草学报2025，Vol.31Issue(3)：23-30,8.DOI:10.16472/j.chinatobacco.2024.T0299
加热卷烟雾化基材在线生产中水分、丙二醇、甘油、烟碱的快速测定
Rapid determination of moisture,propylene glycol,glycerin and nicotine content in the on-line production of heat-not-burn cigarette aerosol substrate
祝浩 1李蓓蓓 2郭军伟 2刘雨 2张璟 1黄龙1
作者信息
- 1. 湖北中烟工业有限责任公司新型烟草制品工程中心,武汉市东西湖金山大道 1355 号 430040
- 2. 中国烟草总公司郑州烟草研究院烟草化学研究室,郑州高新技术产业开发区枫杨街 2 号 450001
- 折叠
摘要
Abstract
This study aims to monitor the quality stability of heated cigarette aerosol material production and establish a rapid,simultaneous near-infrared(NIR)analysis method for determining the moisture,propylene glycol,glycerol,and nicotine content in the heated cigarette aerosol substrates.The bootstrapping soft shrinkage approach(BOSS)variable selection method was adopted to select characteristic wavelength variables.Combined with partial least squares method(PLS),prediction models for the NIR content of the four chemical components in flake and filament heated cigarette aerosol substrates were established and compared with other variable selection methods.The results showed that the prediction accuracy of the model established based on the optimized wavelength variables of the BOSS algorithm was the best,with model R2 greater than 0.95 for all models and RMSECV(Root mean square error of cross-validation)less than 0.7％.The RMSEP(Root Mean Square Error of Cross-Prediction)for moisture,propylene glycol,glycerol,and nicotine was all less than 0.75％,and the RMSEP values for the validation set were similar to those of the modeling set,indicating good predictive accuracy for all models.The RSD(Relative Standard Deviation)of each component model was less than 2％,showing good reproducibility of the models.关键词
加热卷烟雾化基材/近红外光谱/变量选择/自举软收缩算法Key words
heat-not-burn cigarette aerosol substrate/near infrared spectroscopy/variable selection/bootstrap soft shrinkage algorithm引用本文复制引用
祝浩,李蓓蓓,郭军伟,刘雨,张璟,黄龙..加热卷烟雾化基材在线生产中水分、丙二醇、甘油、烟碱的快速测定[J].中国烟草学报,2025,31(3):23-30,8.
