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

杨建云; 田孟玉; 裴梓烨; 赵蔚; 马骥; 李俊谷; 杨乾栩

doi:10.3969/j.issn.2096-1553.2018.05.008

CN 41-1437/TS ISSN 2096-1553

杨建云 , 田孟玉 , 裴梓烨 , 赵蔚 , 马骥 , 李俊谷 , 杨乾栩

杨建云, 田孟玉, 裴梓烨, 等. 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[J]. 轻工学报, 2018, 33(5): 60-68. doi: 10.3969/j.issn.2096-1553.2018.05.008

引用本文: 杨建云, 田孟玉, 裴梓烨, 等. 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[J]. 轻工学报, 2018, 33(5): 60-68. doi: 10.3969/j.issn.2096-1553.2018.05.008

YANG Jianyun, TIAN Mengyu, PEI Ziye, et al. Rapid quantitative evaluation of the content of aroma components in flue-cured tobacco leaves based on near-infrared spectroscopy[J]. Journal of Light Industry, 2018, 33(5): 60-68. doi: 10.3969/j.issn.2096-1553.2018.05.008

Citation: YANG Jianyun, TIAN Mengyu, PEI Ziye, et al. Rapid quantitative evaluation of the content of aroma components in flue-cured tobacco leaves based on near-infrared spectroscopy[J]. Journal of Light Industry, 2018, 33(5): 60-68. doi: 10.3969/j.issn.2096-1553.2018.05.008

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

云南中烟工业有限责任公司技术中心, 云南昆明 650231

作者简介: 杨建云(1980-),男,四川省岳池县人,云南中烟工业有限责任公司工程师,主要研究方向为卷烟产品研发.;

基金项目: 云南省科技厅科技计划项目（2018FD164）；云南中烟工业有限责任公司科技项目（2015CP02，2016CP03）
中图分类号: TS41⁺1

Rapid quantitative evaluation of the content of aroma components in flue-cured tobacco leaves based on near-infrared spectroscopy

Technology Center, China Tobacco Yunnan Industrial Co., Ltd., Kunming 650231, China
Received Date: 2018-01-24

CLC number: TS41⁺1

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.
- 初烤烟叶 /
- 致香成分 /
- 近红外光谱技术 /
- 快速定量评价 /
- 主成分分析
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.
- flue-cured tobacco leaves /
- aroma component /
- near-infrared spectroscopy /
- rapid quantitative evaluation /
- principal component analysis
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沈阳化工大学材料科学与工程学院沈阳 110142

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

作者简介:杨建云(1980-),男,四川省岳池县人,云南中烟工业有限责任公司工程师,主要研究方向为卷烟产品研发.

云南中烟工业有限责任公司技术中心, 云南昆明 650231

收稿日期: 2018-01-24

基金项目: 云南省科技厅科技计划项目（2018FD164）；云南中烟工业有限责任公司科技项目（2015CP02，2016CP03）

关键词:

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.

English Abstract

Rapid quantitative evaluation of the content of aroma components in flue-cured tobacco leaves based on near-infrared spectroscopy

Technology Center, China Tobacco Yunnan Industrial Co., Ltd., Kunming 650231, China

Received Date: 2018-01-24

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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