以红塔集团2010年玉溪、 楚雄、 昭通产区内经工业分级后不同部位及色组的中上等烟叶样品为试验对象, 其烤烟品种为K326, 共计3个产区、 六种中上等工业分级17类样品的近红外光谱6 064条； 应用光谱特征投影及相关分析等方法对17类烟叶样品近红外光谱的分析结果表明: 第1维光谱特征投影均值区分不同分级类型的概率为84%, 第2维光谱特征投影均值区分不同产区类型的概率为71%。 因此, 通过光谱特征投影能够重现性较好地量化解释分级和产区造成烟叶品质的差异, 其量化数据可以作为烟叶跨区模块组合的参考。

In this study, tobacco quality analysis of industrial classification of different producing area was carried out applying spectrum projection and correlation methods. The group of industrial classification data was near-infrared (NIR) spectrum in 2010 year from different tobacco plant parts and colors of Hongta Tobacco(Group)Co.,Ltd. 6 064 tobacco leaf samples of 17 classes from Yuxi, Chuxiong and Zhaotong, in Yunnan province and 6 industrial classifications were collected using near infrared spectroscopy, which from different parts and colors and all belong to tobacco varieties of K326. The conclusion showed that, the probability of the grading belonging by the first dimension was 84%, the probability of the producing area belonging by the second dimension was 71%. The study can explain the difference of tobacco quality of industrial classification and producing area by a projection method to get the quantitative similarity values. The quantitative similarity values were instructive in combination of tobacco leaf blending.