基于近红外光谱和SIMCA算法的烟叶部位相似性分析

烟叶的外观特征能反映其内在品质, 不同部位、品种、成熟度的烟叶在外观上表现出来的特征为烟叶生产加工提供了标准和依据。烟叶根据其在植株上着生位置不同可分为5个部位, 分别为：顶叶、上二棚叶、腰叶、下二棚叶和脚叶。文章以2008年云南玉溪地区K326品种的5个部位各100份烟叶样品为实验材料, 采集了500个近红外光谱数据, 应用基于SIMCA算法的相似性分析数学模型, 对不同部位烟叶的近红外光谱进行了相似性分析。实验结果表明, 基于近红外光谱的烟叶部位相似性分析结果与实际烟叶部位之间的相似性程度是相符的, 部位之间相距越大其相似性越差, 同时相邻部位之间的相似程度是不同的。该研究对基于SIMCA算法的主成分数确定进行了讨论, 并实现了类别间相似性的量化分析, 对于烟叶复烤配方的替代、调整以及进行工业分级的评价等具有指导意义。

Abstract

The appearance features of tobacco reflect its inner quality.Many factors, such as different plant parts, variety and maturity, provide standard and foundation for tobacco production processing.According to the different position of tobacco plant parts, tobacco plants leaves can be divided into five parts as tip, upper-middle, middle, lower-middle and priming leaf respectively.Five hundred tobacco leaf samples (100 each for one of five tobacco plant parts) from Yunnan province in 2008 were collected using near infrared spectroscopy, which all belong to tobacco varieties of K326.The similarity analysis of tobacco plant parts was carried out using mathematical model of SIMCA similarity analysis.The conclusion showed that the tobacco plant parts similarity results based on near-infrared spectroscopy corresponded to the relative tobacco plant parts in Yunnan province.The farther two tobacco plant parts were away from each other, the lower the similarity of corresponding parts was.And the similarity results of djacent tobacco plant parts were different.The study discussed a method of confirming PC numbers and realized the quantitative similarity analysis between classes.It is instructive in replacement or adjustment of tobacco leaf blending and evaluation of tobacco industrial grading.

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于春霞, 马翔, 张晔晖, 李军会, 赵龙莲, 许莉, 温亚东, 王毅, 张录达. 基于近红外光谱和SIMCA算法的烟叶部位相似性分析[J]. 光谱学与光谱分析, 2011, 31(4): 924. YU Chun-xia, MA Xiang, ZHANG Ye-hui, LI Jun-hui, ZHAO Long-lian, XU Li, WEN Ya-dong, WANG Yi, ZHANG Lu-da. Tobacco Plant Parts Similarity Analysis Based on Near-Infrared Spectroscopy and SIMCA Algorithm[J]. Spectroscopy and Spectral Analysis, 2011, 31(4): 924.

基于近红外光谱和SIMCA算法的烟叶部位相似性分析

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