Citation: Jing Jing Liu, Heng Xu, Wen Sheng Cai, Xue Guang Shao. Discrimination of industrial products by on-line near infrared spectroscopy with an improved dendrogram[J]. Chinese Chemical Letters, ;2011, 22(10): 1241-1244. doi: 10.1016/j.cclet.2011.04.019 shu

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

Research Center for Analytical Sciences, College of Chemistry, Nankai University, Tianjin 300071, China

Received Date: 16 February 2011

Fund Project: This work is supported by National Natural Science Foundation of China (No.20835002).

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 MR 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.
- Near infrared spectroscopy,
- Principal component analysis,
- Hierarchical cluster analysis,
- Tobacco products
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