Discrimination of industrial products by on-line near infrared spectroscopy with an improved dendrogram

被引：8

作者：

Liu, Jing Jing ^{[1
]}

Xu, Heng ^{[1
]}

Cai, Wen Sheng ^{[1
]}

Shao, Xue Guang ^{[1
]}

机构：

[1] Nankai Univ, Coll Chem, Res Ctr Analyt Sci, Tianjin 300071, Peoples R China

来源：

CHINESE CHEMICAL LETTERS | 2011年 / 22卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Near infrared spectroscopy; Principal component analysis; Hierarchical cluster analysis; Tobacco products; CLASSIFICATION;

D O I：

10.1016/j.cclet.2011.04.019

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Near infrared (NIR) spectroscopy technique has shown great power and gained wide acceptance for analyzing complicated samples. The present work is to distinguish different brands of tobacco products by using on-line NIR spectroscopy and pattern recognition techniques. Moreover, since each brand contains a large number of samples, an improved dendrogram was proposed to show the classification of different brands. The results suggest that NIR spectroscopy combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA) performs well in discrimination of the different brands, and the improved dendrogram could provide more information about the difference of the brands. (C) 2011 Xue Guang Shao. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.

引用

页码：1241 / 1244

页数：4

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