Influence of routine chemical components on sensory quality of commercial cigarettes using partial least square regression
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(1. School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; 2. Tobacco Jiangxi Industrial Co., Ltd., Nanchang, Jiangxi 330000, China)

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    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 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.

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沈宁,赵娟,于静洋,等.基于PLSR分析常规化学成分对市售卷烟感官品质的影响[J].食品与机械英文版,2015,31(6):47-52.

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History
  • Received:October 23,2015
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  • Online: March 17,2023
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