烟草科技2017，Vol.50Issue(1)：30-40,11.DOI:10.16135/j.issn1002-0861.2016.0342
二氯甲烷提取物致香成分GC/MS指纹图谱在烤烟香型鉴别中的应用
Identification of flue-cured tobacco flavor style using GC/MS fingerprint of aroma component extracted by dichloromethane
摘要
Abstract
Taking 90 flue-cured tobacco samples of 3 flavor styles as the research objects, the flavor styles of the samples were determined by sensory evaluation. The samples were extracted by dichloromethane, and the characteristics of GC/MS fingerprints were analyzed by VIP (Variable importance in the projection) method combined with PLS-DA (Partial least squares discriminant analysis). The aroma components influencing the flavor style of flue-cured tobacco were analyzed, and the classification models of the fingerprints and aroma components were built separately. The correlations between the characteristic aroma components and main aroma note of flue-cured tobacco were analyzed, and the aroma components influencing the main aroma note were investigated. The results showed that: 1) 1 533 pieces of information of characteristic fingerprints were screened out, and the validation accuracy, R2, RMSECV and RMSEP of the developed GC/MS fingerprint discrimination model were 96.67%, 0.926, 0.190 and 0.250, respectively. 2) 52 aroma components greatly influencing the classification of flue-cured tobacco flavor style were identified, and the validation accuracy, R2, RMSECV and RMSEP of the developed aroma component classification model were 86.67 %, 0.817, 0.301 and 0.396, respectively. 3) 16 aroma components were introduced via stepwise regression analysis, and the discrimination equations for flue-cured tobacco flavor styles (robust, fresh and medium flavor styles) were established. The back substitution verification indicated that the discrimination accuracies of these equations were 100%, 91.7% and 97.2%, respectively. 4) The selected 16 aroma components significantly correlated to the main aroma note of flue-cured tobacco. All above mentioned discriminant models could identify the flavor style of flue-cured tobacco, the accuracies of characteristic fingerprint model and stepwise regression discriminant equations were higher than that of classification model based on 52 aroma components.关键词
烤烟/香型/香韵/指纹图谱/致香成分/偏最小二乘判别分析/鉴别Key words
Flue-cured tobacco/Flavor style/Aroma note/Fingerprint/Aroma component/PLS-DA/Identification分类
轻工纺织引用本文复制引用
许洪庆,吕大树,张亚恒,李伟,袁天军,杨式华..二氯甲烷提取物致香成分GC/MS指纹图谱在烤烟香型鉴别中的应用[J].烟草科技,2017,50(1):30-40,11.基金项目
贵州中烟工业有限责任公司科技项目“典型原料基地烟叶特征指纹图谱构建”（201493）。 （）
