当前位置: 首页 > 文章 > 不同贮叶条件下叶组主要致香成分含量的逐步判别分析 安徽农业科学 2022,50 (2) 190-193+210
Position: Home > Articles > Stepwise Discriminant Analysis of the Contents of Main Aroma Components in Different Conditions of Strip Bulking in Tobacco Blends Journal of Anhui Agricultural Sciences 2022,50 (2) 190-193+210

不同贮叶条件下叶组主要致香成分含量的逐步判别分析

作  者:
夏莺莺;柴张棋;樊杰;张奇
单  位:
山西昆明烟草有限责任公司技术研发中心
关键词:
贮叶;致香成分;逐步判别分析
摘  要:
为探索配方叶组(云烟某品牌)的最佳贮叶工艺条件,通过正交试验研究了不同贮叶工艺条件对叶组感官质量与致香物质含量的影响,并采用逐步判别分析方法建立了叶组在不同贮叶工艺条件下感官质量与致香物质含量的函数判别预测模型。结果表明:不同贮叶条件对配方叶组感官质量的影响明显,最佳工艺条件为45℃、85%,24 h。壬二烯醛、香叶醇、巨豆三烯酮A、二氢猕猴桃内酯4个变量代入判别函数,通过判别函数方差分析可知判别函数具有显著意义。用自身验证法和交互检验法对原样品进行回判,回判准确率均为100%,新样品的判别准确率为91.6%。基于叶组主要挥发性致香成分含量的判别分析模型具有较高的稳定性,可用于贮叶质量特征的判断。
译  名:
Stepwise Discriminant Analysis of the Contents of Main Aroma Components in Different Conditions of Strip Bulking in Tobacco Blends
作  者:
XIA Ying-ying;CHAI Zhang-qi;FAN Jie;Technology R&D Center, Shanxi Kunming Tobacco Co., Ltd.;
关键词:
Strip bulking;;Aroma components;;Stepwise discriminant analysis
摘  要:
In order to explore the optimum strip bulking conditions of tobacco blends of Yunyan, the effects of different conditions of strip bulking on the sensory quality and the contents of main aroma components of tobacco blends of Yunyan were studied by using the orthogonal experiment. The function discriminant prediction model for the sensory quality and contents of main aroma components in the tobacco blends of Yunyan under different strip bulking conditions was established based on stepwise discriminatory analysis. The results showed that different strip bulking conditions had the obvious effects on the sensory quality of tobacco blends. The optimum strip bulking conditions were 45 ℃,85%,24 h. The four aroma components in tobacco were screened out and included in the discriminant function, including nonadienal, geraniol, megastigmatrienone A and dihydroactinidiolide. According to the variance analysis of the discriminant function, it was found that the discriminant function had significant meaning. The original samples were re-discriminated by using the methods of self and mutual test, the discrimination accuracy reached 100%. The discrimination accuracy for new samples was up to 91.6%.The discriminant analysis model for the contents of main aroma components in the tobacco blends had better stability, so it could be used to identify the quality characteristics of strip bulking.

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