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

TL;DR: 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 etcon cigarette sensory quality.

Abstract: 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 etcon cigarette sensory qualityThe results showed that there were positive correlations between total sugar,reducing sugar and the ratio of sugar to nicotine and most comfort characteristicNicotine,total nitrogen and potassium had negative influences on tobacco comfort characteristicsThere were significantly positive correlations between the ratio of potassium to chlorine and irritation or tongue burning,oral coating or oral drynessThere were positive correlations between total sugar,reducing sugar and the ratio of sugar to nicotine and most smoke characteristicsThere was a significantly negative correlation between nicotine and richness with a significantly positive correlation between nicotine and impactThe ratio of potassium to chlorine had a significantly positive influence on off-taste