摘要
[Objective] This study aimed to establish mathematical models for judging the aroma types of flue-cured tobacco leaves from the upper and middle parts of plants. [Method] A total of 128 samples (63 C3F and 65 B2F) from 11 main tobac- co production provinces of China were selected as materials. Stepwise discriminant analysis was applied to samples with different aroma types and discriminant function was expressed with the proportions of 67 aroma components in total aroma con- stituents as the index. [Result] The ratio of most aroma components in clear and full aroma tobacco leaves was higher than that in middle aroma leaves. The ratios of 51, 43 and 40 aroma components of clear, middle and full aroma tobaccos were higher in upper leaves than that in middle leaves. Aroma components dominated certain aroma types differed between middle and upper leaves. The proportions of 18 and 11 aroma components in upper and middle leaves were led in the stepwise discriminant function respectively. Self-validation and cross-validation methods were applied to evaluate the original samples, and the accuracy rates reached 100% and 98.6% on middle leaves, 96.37% and 94.4% on upper leaves. The accuracy rates on some other samples reached 100% on middle leaves and 91.7% on upper leaves predicted with the model. [Conclusion] The ratio of aroma components as discriminant index could improve discriminant accuracy significantly in the middle and upper leaves. It could be used to analyze aroma types objectively, accurately and quickly.
[目的]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。[方法]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种致香物质含量占致香物质总量的比例为指标,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]结果表明,清香型和浓香型烤烟中大部分致香物质的比例明显高于中间香型。清香型、中间香型、浓香型烤烟中分别有51、43、40种致香物质的比例表现为上部叶高于中部叶。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比例为判别指标构建判别函数时,各有18种和11种致香物质进入判别函数,采用两种验证法(自身验证法、交互验证法)对原样品进行回判,其回判正确率分别为100%、98.6%(中部叶)和96.37%、94.4%(上部叶);采用该模型对其余的样品分别进行预测,其整体准确率为100%(中部叶)和91.7%(上部叶)。[结论]采用致香物质比例作为判别指标建立的数学模型对中上部烟叶的香型判断效果较好,能够实现对烤烟香型的客观、准确和快速鉴别分析。
基金
Supported by Key Science and Technology Program of State Tobacco Monopoly Administration of China(TS 01 2011006)
Fund of State Tobacco Monopoly Administration of China(3300806156)~~