基于近红外光谱技术的初烤烟叶致香成分含量特性快速定量评价
Rapid quantitative evaluation of the content of aroma components in flue-cured tobacco leaves based on near-infrared spectroscopy
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摘要: 为实现对初烤烟叶致香成分含量特性的快速评价，以河南、贵州和云南K326初烤烟叶为样本，采用近红外光谱技术结合偏最小二乘法判断分析（PLS-DA）建立PLS-DA模型和定量校正模型，对不同种植环境中K326初烤烟叶致香成分含量特性进行快速定量评价，结果表明：1）3个产地初烤烟叶致香成分在PLS-DA模型中差异性明显，第1，第2主成分对模型具有较好的解释能力，对模型分类变量的解释能力为81.4%；2）β-大马酮、亚麻酸甲酯、丁基化羟基甲苯、β-紫罗兰酮等化合物是对3个产地样品的重要区分性化合物；3）基于第1，第2主成分得分的近红外校正模型，其决定系数分别为0.970 0和0.908 0，具有较好的稳定性和预测准确性.Abstract: In order to realize the rapid evaluation of the content of aroma components in flue-cured tobacco leaves, the flue-cured tobacco leaves of He'nan, Guizhou and Yunnan K326 were used as samples, and the PLS-DA model and quantitative correction model were established by using near-infrared spectroscopy combined with partial least squares method. The differences in the aroma components of K326 flue-cured tobacco leaves in the planting environment were quickly and quantitatively evaluated. The results showed that:1) The aroma components of the flue-cured tobacco leaves in the three producing areas were significantly different in the PLS-DA model, and the first and second principal components had good interpretation ability. The explanatory power of the model categorical variable was 81.4%; 2) β-Damascone, methyl linolenic acid, butylated hydroxytoluene, β-ionone and other compounds were important distinguishing compounds for the three origin samples; 3) The near-infrared correction model based on the first and second principal component scores had a coefficient of determination of 0.970 0 and 0.908 0, respectively, and had good stability and prediction accuracy.
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