| 光谱学与光谱分析 |
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| The Application of Near-Infrared Spectroscopy and Pattern Recognition to Quality Assessment of Toothpaste Samples of Different Brands |
| LIN Wei1,2, NI Yong-nian1, 2* |
1. The State Key Laboratory of Food Science and Technology of Nanchang University, Nanchang 330047, China
2. Department of Chemistry, Nanchang University, Nanchang 330031, China |
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Abstract The near-infrared spectroscopy (NIR) was combined with pattern recognitions method and applied to the quality assessment of toothpaste samples of four different brands. Several chemometrics approaches, such as principal component analysis (PCA), clustering analysis (CA), partial least squares (PLS), artificial neural networks (ANN) and K-nearest neighbor (kNN) were used to investigate the quality of toothpastes samples. The obtained results showed that the four clustering groups can be observed after the pretreatment of multiple scatter correction for the NIR data. It was also found that the quality of toothpastes of all the four brands was relatively stable, however, there is a significant difference in the quality between two brand kinds of toothpaste samples.
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Received: 2010-10-27
Accepted: 2011-01-22
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Corresponding Authors:
NI Yong-nian
E-mail: ynni@ncu.edu.cn
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[1] Luypaert J, Massart D L, Vander Heyden Y. Talanta, 2007, 72: 865.
[2] ZHANG Shun-wei, WANG Zhi-jun, ZHU Zhong-liang(张顺玮, 王志军, 朱仲良). Computers and Applied Chemistry(计算机与应用化学), 2008, 25(3): 333.
[3] Berrueta L A, Alonso-Sclces R M, Heberger K. J. Chromatogr A, 2007, 1158: 196.
[4] WU Jing-zhu, WANG Yi-ming, ZHANG Xiao-chao, et al(吴静珠, 王一鸣, 张小超, 等). Modern Scientific Instruments(现代科学仪器), 2006, 1: 69.
[5] Rinnan A, van den Berg F, Engelsen S B. Trac-Trend Anal. Chem., 2009, 28(10): 1201.
[6] Candolfi A, De Maesschalck R, Jouan-Rimbaud D, et al. J. Pharm. Biomed. Anal., 1999, 21: 115.
[7] WANG Yuan-hui, LI Qing-tao, JIANG Yi, et al(王远辉, 黎庆涛, 姜 毅, 等). Food Science and Technology(食品科技), 2009, 34(8): 283.
[8] NI Zhen, HU Chang-qin, FENG Fang(尼 珍, 胡昌勤, 冯 芳). Chin. J. Pharm. Anal.(药物分析杂志), 2008, 28(5): 824.
[9] ZHU Xiao-li, YUAN Hong-fu, LU Wan-zhen(褚小立, 袁洪福, 陆婉珍). Progress in Chemistry(化学进展)，2004, 16(4): 528.
[10] Liu F, He Y. Food Ses. Int.，2008, 41: 562.
[11] Zhao Y, Wang J, Lu Q J, et al. Innovative Food Science & Emerging Technologies, 2010, 11(3): 520.
[12] NI Yong-nian(倪永年). The Application of Chemometrics in Analysis Chemistry(化学计量学在分析化学中的应用). Bingjing: Science Press(北京：科学出版社), 1999. 5: 161.
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