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基于逐步判别分析的烤烟中上部烟叶香型判断

机译:Judgment of Aroma Types of Middle and Upper Flue-cured Tobacco Leaves Based on Stepwise Discriminant Analysis基于逐步判别分析的烤烟中上部烟叶香型判断

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The aim of this study was to establish mathematical models for judging the aroma types of middle and upper flue-cured tobacco leaves according to the contents and proportions of aroma compositions. [Method] The aroma types of tobacco leaves were judged based on stepwise discriminant analysis, using 63 C3F and 65 B2F tobacco leaf samples from 13 tobacco producing regions in 11 provinces of China (Huili in Sichuan, Baokang in Hubei, Wulong in Chongqing, Lu-oyang in Henan, Zhucheng in Shandong, Wuyi Mountain in Fujian, Malong in Yun-nan, Chuxiong in Yunnan, Bijie in Guizhou, Liuyang in Hunan, Suiyang in Guizhou, Kaiyuan in Liaoning, Nanxiong in Guangdong) as calibration samples, and 67 aroma components as indices. And the Fisher discriminant functions were verified using 21 C3F and 19 B2F tobacco leaf samples. [Result] Variation coefficients of the propor-tions were lower than that of contents of most aroma components in middle and upper leaves of the samples, indicating that the proportions were more stable than contents of aroma components. The proportions of benzyl alcohol, solanone, β-dam-ascone, neophytadiene, farnesylacetone A, palmitic acid, thunbergol, methyl linole-nate and cembratriene-diol were al over 1% in both middle and upper leaves, al-though the dominant aroma components of the same aroma type varied between middle and upper leaves. Moreover, 11, 18, 7 and 11 aroma components were re-spectively introduced into the Fisher discriminant functions established based on the contents and proportions of middle and upper flue-cured tobacco leaves, which ex-hibited accuracy rates of 91.7%, 100%, 91.7% and 91.7% in the judgments of other tobacco leaf samples. The results revealed that the components those determined aroma types in middle leaves were obviously more than in upper leaves. ln middle leaves, the accuracy rates of aroma type judgment could be improved by using the proportions rather than the contents of aroma components as indices. However, the functions based on the proportions and the contents of aroma components in upper leaves gave close accuracy rates. [Conclusion] The results of the study wil provide references for identifying aroma types of flue-cured tobacco leaves in future work.%[目的]通过揭示不同香型和不同部位烤烟的香气风格特征及其形成原因,建立起中上部烟叶香型风格定量判断的数学模型。[方法]以中国11个主要产烟省的13个地区的63个C3F和65个B2F烟叶作为校正样品,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,并分别利用21个 C3F烟叶和19份B2F烟叶对该模型进行验证。[结果]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异系数小于相对应的致香物质绝对含量,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;在分别以中部叶和上部叶致香物质含量和比例为判断指标构建判别函数时,各引入了11种、18种、7种、11种致香物质指标,并以构建的模型对新样本进行预测,其整体准确率分别为:91.7%、100%、91.7%、91.7%。可见,影响中部烟叶香气风格特征的致香物质指标明显多于上部叶,但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。[结论]该研究为特色优质烟叶的开发与生产布局提供理论依据。
机译:本研究的目的是根据芳香组合物的内容和比例建立用于判断中上烤烟的香气类型的数学模型。 [方法]基于逐步判别分析,使用来自中国11个省(四川惠里,湖北省湖北省惠邦,乌隆于重庆湖北省惠里,武通,致逐逐步判别分析,判断烟草叶片的香气叶片 - 河南河东朱城,福建山东山东省云南玉龙,云南楚雄,贵州珠岛,刘阳,湖南,苏阳,在贵州,辽宁省辽宁,广东省开元,67香气成分作为索引。使用21 C3F和19 B2F烟草样品验证Fisher判别功能。 [结果]助理的变化系数低于样品中叶片中大多数香气组分的含量的变化系数,表明比例比香味组分的含量更稳定。苄醇,甲酮,β-坝 - 升级,新苯甲酸盐,法呢酮A,棕榈酸,Thunbergol,甲基亚麻油 - Nate和Cembratriene-Diol的比例在中间和上叶中的1%以上,Al - 虽然是主要的香气相同香气型的组分在中叶之间变化。此外,将11,18,7和11种芳香成分重新地引入基于中产物和上烟草叶片的内容和比例的捕获判别函数,该烟丝叶片的内容物和比例为91.7%,100%在其他烟草样品的判断中,91.7%和91.7%。结果表明,中叶中的组分确定的芳香类型显着大于上叶。 LN中叶,通过使用比例而不是香气成分作为索引的含量,可以改善香气型判断的精度率。然而,基于比例的功能和上叶中的香气组分的内容具有紧密的精度速率。 [结论]研究结果将在将来的工作中提供鉴定烤烟烟叶的芳香类型的参考。%[目的]通讯揭示不成箱和不合物烤烟的香气风格特价及其形原因,建立起中[方法]以中国11个主要产烟省的13个地区的63个c3f和65个b2f烟叶作为校正装品,并以67种致香物为指标,使用逐步判别分类的方法对不断香型烤烟制品进判别分类,并并建立读数,并分类利用21个c3f烟叶和19份b2f烟叶烟叶对模型进进。[结果]中上部烟叶对模型进进。销量占致香物质销量的比例变异数小于相的致香物质绝对含含对应的致香物绝对含料,且在中上部部中间比例超过1%的物质只苯甲醇,茄酮,β-大马酮,新闻二烯,金合金基丙酮a,十六酸,寸拜醇,亚洲酸甲酯,西北三烯二,且在不错部位烟叶中,主导某种香型的致香物质质不错;在分享到中间叶和上部物品含含函指标指标函函数,各引入了11种,18‰,7‰,11次物质指标,并以构建的模型模型新闻本行行预测,其其预测准确率分享为:91.7%,100%,91.7%,91.7%。可见,影响中间烟叶香气风格特价的致香物指标明显多重上游,但在中间叶中间使用致香物种作为判别判别能明显提高其判别准确率。[结论]该该研研优质优质烟叶的开发与生产布局提供理念依据。

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