基于近红外光谱的烟草品质相似性度量算法构建及应用探究

doi:10.14088/j.cnki.issn0439-8114.2026.05.027

湖北农业科学 ›› 2026, Vol. 65 ›› Issue (5): 172-178.doi: 10.14088/j.cnki.issn0439-8114.2026.05.027

基于近红外光谱的烟草品质相似性度量算法构建及应用探究

王大彬¹, 周显升², 刘志广², 彭富余², 于卫松¹, 邱军¹

1.中国农业科学院烟草研究所/农业农村部烟草质量安全风险评估实验室,山东青岛 266101;
2.山东中烟工业有限责任公司,济南 250000

收稿日期:2026-03-09 出版日期:2026-05-25 发布日期:2026-05-26
通讯作者: 邱军（1975-）,男,山东诸城人,研究员,博士,主要从事烟草质量安全研究工作,（电子信箱）qiujun01@caas.cn。
作者简介:王大彬（1986-）,男,山东安丘人,副研究员,博士,主要从事烟草风味和品质解析评价研究工作,（电子信箱）wangdabin@caas.cn。
基金资助:
中国烟草总公司山东省公司科技重点项目（202308）

Construction and application of tobacco quality similarity algorithm based on near-infrared spectroscopy

WANG Da-bin¹, ZHOU Xian-sheng², LIU Zhi-guang², PENG Fu-yu², YU Wei-song¹, QIU Jun¹

1. Tobacco Research Institute of Chinese Academy of Agricultural Sciences/Laboratory of Quality & Safety Risk Assessment for Tobacco, Ministry of Agriculture and Rural Affairs, Qingdao 266101, Shandong, China;
2. China Tobacco Shandong Industrial Co., Ltd., Jinan 250000, China

Received:2026-03-09 Published:2026-05-25 Online:2026-05-26

摘要/Abstract

摘要： 为实现烟草品质相似性的数字化定量评价,构建了一种基于近红外光谱的烟草品质相似性度量算法。基于2022和2023年度单料烟叶竖配方样品的近红外光谱及感官评吸数据,在主成分分析（PCA）降维的基础上,通过引入核函数和L2范数将余弦距离与欧氏距离进行有效耦合,计算并构建了样品间的相似性度量矩阵与感官得分差异矩阵,并对两者的相关性进行了考察。结果表明,两个年度分别有10个和9个样品的相似性度量值与其感官得分差异值呈显著正相关（P<0.05）,分别占各年度样品总数的66.7%、60.0%。这说明该模型所得的度量值与专家感官评价结果具有较好的一致性,即算法度量值越大,样品间的感官差异越大、相似性越低。本研究为烟叶原料替代、叶组配方辅助设计以及卷烟产品质量稳定性评价等提供了有效的新技术思路和量化手段。

关键词: 近红外光谱, 烟草品质, 相似性度量, 核函数, L2范数, 数字化评价

Abstract: To achieve the digital and quantitative evaluation of tobacco quality similarity, a similarity measurement algorithm based on near-infrared(NIR) spectroscopy was constructed. Based on the NIR spectral and sensory evaluation data of single-grade tobacco vertical formulation samples from 2022 and 2023, dimensionality reduction was conducted using principal component analysis (PCA). Subsequently, the cosine distance and Euclidean distance were effectively coupled by introducing a kernel function and the L2 norm to calculate and construct the similarity metric matrices and sensory score difference matrices among the samples, followed by a correlation analysis between the two. The results demonstrated that the similarity metric values of 10 and 9 samples in the two respective years exhibited a significant positive correlation (P<0.05) with their sensory score differences, accounting for 66.7% and 60.0% of the total samples in each year, respectively. This indicated that the metric value derived from the model maintained a good consistency with expert sensory evaluations; namely, a larger algorithmic metric value corresponded to a greater sensory difference and a lower similarity between samples. This study provided an effective novel technical approach and quantitative tool for tobacco raw material substitution, auxiliary design of tobacco blends, and stability evaluation of cigarette product quality.

Key words: near-infrared spectroscopy, tobacco quality, similarity metric, kernel function, L2norm, digital evaluation

中图分类号:

王大彬, 周显升, 刘志广, 彭富余, 于卫松, 邱军. 基于近红外光谱的烟草品质相似性度量算法构建及应用探究[J]. 湖北农业科学, 2026, 65(5): 172-178.

WANG Da-bin, ZHOU Xian-sheng, LIU Zhi-guang, PENG Fu-yu, YU Wei-song, QIU Jun. Construction and application of tobacco quality similarity algorithm based on near-infrared spectroscopy[J]. HUBEI AGRICULTURAL SCIENCES, 2026, 65(5): 172-178.

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基于近红外光谱的烟草品质相似性度量算法构建及应用探究

Construction and application of tobacco quality similarity algorithm based on near-infrared spectroscopy

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