Abstract: In order to improve scrap quality, this paper analyzed the relationship between cut tobacco chemical composition and sensory quality by establishing multiple stepwise regression equation of chemical composition and sensory quality, and canonical correlation method, stepwise regression analysis and path analysis. The results showed that nicotine, nitrogen bases ratio, sugar nicotine ratio were  important indexes. The correlation of nicotine, nitrogen bases ratio, sugar nicotine ratio with sensory quality were jointly  affected by both direct and indirect effects. The direct effect of nicotine, nitrogen bases ratio was bigger than that of the indirect effect, while the indirect effect of sugar nicotine ratio was bigger than that of the direct effect. Decrease of nicotine, nitrogen bases ratio and increase of sugar nicotine ratio were  benefit for upgrading aroma characteristics. Finding out the key chemical index would be of certain significance in studying the inherent law of quality evaluation indexes in scrap  producing process, and helpful for further perfecting the quality evaluation system.

Key words: drying process, chemical composition, sensory quality, canonical correlation, stepwise regression analysis, path analysis

摘要： 为改善烟丝质量，通过建立制丝线烘丝工序烟丝的化学成分和感官质量的多元逐步回归方程，并采用典型相关分析、逐步回归分析和通径分析等方法分析了烟丝的化学成分与感官质量的相关关系。结果表明：烟碱、氮碱比、糖碱比是影响香气特性、烟气特性和口感特性的重要指标；烟碱、氮碱比、糖碱比与感官质量各指标的相关关系是由直接作用和间接作用共同影响的，烟碱、糖碱比的直接作用大于间接作用，氮碱比的间接作用大于直接作用；烟碱含量和氮碱比的减小、糖碱比的增大有利于香气特性的提升。找出影响感官质量的关键化学指标，对研究制丝工序过程中质量评价指标的内在规律有一定意义，有助于进一步完善制丝工序质量评价体系。

关键词: 烘丝工序, 化学成分, 感官质量, 典型相关分析, 逐步回归分析, 通径分析