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作 者:詹军 周芳芳 邓国宾 毛春堂 包崇彦 饶骏晨 张晓龙
机构地区:[1]云南瑞升烟草技术(集团)有限公司,云南昆明650106
出 处:《西南农业学报》2013年第6期2538-2545,共8页Southwest China Journal of Agricultural Sciences
基 金:国家烟草专卖局重大科技项目(TS012011006);国家烟草专卖局资助项目(3300806156);红云红河集团基金项目:现代烟草农业基地单元建设研究与推广(第二期)(HYHH2012YL01)
摘 要:为了区分烤烟中上部叶的不同香型风格特征,并为其判断提供数学模型。以中国11个主要产烟省的63个C3F和65个B2F烟叶为材料,并以67种致香物质为指标,采用逐步判别分析的方法对不同香型烤烟样品进行判别分析,并建立判别函数。结果表明,中上部烟叶的大部分致香物质含量占致香物质总量的比例变化较稳定,且在中上部烟叶中比例超过1%的物质只有苯甲醇、茄酮、β-大马酮、新植二烯、金合欢基丙酮A、十六酸、寸拜醇、亚麻酸甲酯、西柏三烯二醇,且在不同部位烟叶中,主导某种香型的致香物质种类不同;在分别以中部叶致香物质含量和比例、上部叶致香物质含量和比例为判断指标时构建判别函数时,各引入了11、18、7、11种致香物质,并以构建的模型对其余的新样本分别进行预测,其整体准确率分别为91.7%、100%、91.7%、91.7%。可见,在中部叶中采用致香物质比例作为判别指标能明显提高其判别准确率,在上部叶中以致香物质含量和比例分别作为判别指标时的判别准确率相差不大。In order to distinguish characteristics of aroma types of flue-cured tobacco and establish mathematical model for judgment of aroma types, 128 samples contained 61 C3F and 65 B2F from 11 main tobacco production provinces of China were used as materials. Stepwise discriminant analysis was applied to different aroma types tobacco leaves using 67 aroma components, and diseriminant function was expressed. The results showed that the ratio that most of aroma components of upper and middle leaves accounted for total content of aroma components was stable, and the ratio of only some of these aroma components in the upper and middle leaves, for example benzyl alcohol, solanone, β- damascone, neophytadiene, farnesylacetone A, palmitic acid,thunbergol, methyl linolenate and cembratriene-diol, was more than 1%. Aroma components dominated certain aroma type were different in the different position of tobacco. The contents and the ratio of upper and middle leaves aroma components separately were applied to establish stepwisc discfiminant function with 11,18,7 and 11 kinds of aroma components led in respectively. The prediction of other new sample was carried by the expressed model. The accuracy of the whole smple was 91.7 %, 100 %, 91.7 % and 91.7 % respectively. In conclusion, the ratio of aroma components as discriminant index could improve discriminant accuracy significantly in the middle leaves. Discriminant accuracy that contents and ratio of aroma components in the up leaves were applied as indexes was not so much different.
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