基于PLSR分析常规化学成分对市售卷烟感官品质的影响

Influence of routine chemical components on sensory quality of commercial cigarettes using partial least square regression

为研究常规化学成分对市售卷烟感官品质特征的影响,采用偏最小二乘回归法(partial least square regression,PLSR)分析常规化学指标总糖、还原糖、烟碱、总氮等与卷烟感官品质的相关性。结果表明:总糖、还原糖、糖碱比与舒适感所有指标呈正相关;烟碱、总氮、钾与卷烟的舒适感特性呈负相关;钾氯比与口腔刺激/舌部灼烧和口腔残留/干燥感呈显著正相关。在卷烟的烟气特性中,总糖、还原糖、糖碱比与大部分烟气特性指标呈正相关;烟碱与丰富性呈显著负相关,与劲头呈显著正相关;钾氯比与杂气呈显著正相关。

The Partial Least Square Regression（PLSR）analysis was used to study the influences of routine chemical components,such as total sugar,reducing sugar,nicotine,total nitrogen etc.on cigarette sensory quality.The results showed that there were positive correlations between total sugar,reducing sugar and the ratio of sugar to nicotine and most comfort characteristic.Nicotine,total nitrogen and potassium had negative influences on tobacco comfort characteristics.There were significantly positive correlations between the ratio of potassium to chlorine and irritation or tongue burning,oral coating or oral dryness.There were positive correlations between total sugar,reducing sugar and the ratio of sugar to nicotine and most smoke characteristics.There was a significantly negative correlation between nicotine and richness with a significantly positive correlation between nicotine and impact.The ratio of potassium to chlorine had a significantly positive influence on off-taste.