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烤烟香型的定量判别及其与产区的对应关系
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摘要
为研究烤烟化学组成与其香型间的关系,通过抽样法收集了2012年国内14省29市/州500个烟叶样品。参照行业及文献标准测定影响其品质的117种化学指标,对各指标采用因子分析(Multiple Factor Analysis,MFA)降维处理,因子得分构建Bayes香型定量判别模型并验证,同时对香型与产区进行对应分析。结果表明:原始指标可提出24个公因子,其对原变量的总方差解释率为83.697%;定量判别模型能依据巨豆三烯酮、呋喃、碱等类物质的含量对烟叶香型进行很好的预测,交叉验证正确率≥89.5%,外部验证正确率≥97.0%;经因子得分加权的香型与产区对应分析结果与感官评吸结果总体一致,各省份香型特质排序为:清香:云>闽>蜀;中间香:渝>黔>黑>鄂;浓香:豫>皖>粤>赣>陕>鲁>湘。判别模型对快速和客观的评价烟叶品质具有重要现实意义。
To study the relationship between the chemical composition of flue-cured tobacco and its flavor, we collected 500 tobacco samples from domestic 14 provinces or 29 regions of 2012 by the sampling method. Referring to the relevant industry standards and literature methods, we 117 kinds of chemical indicators, which significantly affected the quality of flue-cured tobacco,used-Factor analysis(Multiple Factor Analysis, MFA) to dimension reduction, constructed flavor quantitative scores Bayes discriminant model and verified the model. Then we made correspondence analysis between the flavor and producing areas. The results showed that: Original indicators can be picked up 24 common factors, the total variance of the original variables explained was 83.697%. Based on detected content of megastigmatrienone, furan, alkali and other substances, quantitative discriminant model can predict flavor for tobacco samples well, the correct rate of cross validation ≥ 89.5%, and the correct rate of external validation ≥ 97.0% After scores weighted, corresponding analytical results between flavor and producing areas are consistent with the sensory evaluation results overall, provinces flavor qualities Sort: light flavor: Yun> Min> Shu; intermediate flavor: Chongqin> Qian>Hei> E; strong flavor: Yu> Wan> Yue>Gan> Shan> Lu> Xiang. Discriminant model has important practical significance for fast and objective evaluation of the quality of tobacco.
引文
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