摘要
为探究一种便捷、有效对烤烟上部叶化学成分工业可用性进行评价的方法,运用正交偏最小二乘(OPLS-DA)建立主要化学成分与感官质量的判别模型后结合模糊数学理论建立评价方法,对2023年江西省上部烟叶样品进行分类.结果表明,江西上部叶样品总糖(26.98％)、总氮(2.04％)、钾(2.46％)含量适中,糖碱比(6.60)偏低,氯含量在产区间波动较大;化学成分指标对感官质量影响的重要性由高到低为糖碱比、烟碱、还原糖、氯、总糖、总氮、氮碱比、淀粉、钾.本研究上部叶样品总数为75个,评价为Ⅰ级的样本33个,占比44.0％;评价为Ⅱ级的30个,占比40.0％;评价为Ⅲ级的12个,占比16.0％.本研究以感官评吸质量为导向,通过建立化学成分的模糊综合评价模型对烟叶进行分类,为上部叶工业可用性评价提供了参考.
Abstract
To explore a convenient and effective method for evaluating the industrial availability of chemical components in the upper leaves of flue-cured tobacco,orthogonal partial least squares(OPLS-DA)was used to establish a discriminant model between the main chemical components and sensory quality.Subsequently,combining fuzzy mathematics theory to establish an evaluation method,and the upper tobacco samples in Jiangxi Province in 2023 were classified based on this method.The results showed that the total sugar(26.98％),total nitrogen(2.04％),and potassium(2.46％)contents in the upper leaf samples of Jiangxi flue-cured tobacco were moderate,the sugar/alkali ratio(6.60)was low,and the chlorine content fluctuated greatly according to different production areas.The order of importance of chemical composition on sensory quality was sugar/alkali ratio,nicotine,reducing sugar,chlorine,total sugar,total nitrogen,nitrogen alkali ratio,starch,and potassium.In this study,75 upper leaf samples were selected,among these,33 samples were evaluated as grade Ⅰ,accounting for 44.0％,30 samples were evaluated as grade Ⅱ,accounting for 40.0％,12 samples were evaluated as grade Ⅲ,accounting for 16.0％.This study was directed by sensory evaluation of smoking quality and established a fuzzy comprehensive evaluation model by chemical composition to classify tobacco leaves,providing reference for industrial usability evaluation of upper leaves.
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