| 光谱学与光谱分析 |
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| Successive Projections Algorithm and Its Application to Selecting the Wheat Near-Infrared Spectral Variables |
| CHENG Zhong，ZHANG Li-qing，LIU He-yang，ZHU Ai-shi |
| Department of Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China |
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Abstract Successive projections algorithm combined with partial least squares regression, termed as SPA-PLS approach, was implemented as a novel variable selection approach to multivariate calibration. The proposed approach was applied to near-infrared reflectance data for analyzing moisture in wheat. The number of variables selected from 701 spectral variables was reduced to 16 by SPA, and the root mean squared error of prediction set (RMSEP) of the corresponding partial least squares regression models was decreased to 0.205 5% as well. The result indicates that the SPA-PLS approach by performing SPA prior to calibration not only can improve the model accuracy, but also decreases the number of spectral variables, so its resulting model becomes more concise. Moreover, as compared with genetic algorithm for wavelength selection, SPA is a deterministic search technique whose results are reproducible and it is more robust with respect to the choice of the validation set.
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Received: 2009-05-16
Accepted: 2009-08-18
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Corresponding Authors:
CHENG Zhong
E-mail: chengzhong@zust.edu.cn,chengzhong@hz.cn
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[1] SUN Tong, XU Hui-rong, YING Yi-bin(孙 通，徐惠荣，应义斌). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2009，29(1)：122.
[2] ZHU Xiang-rong, LI Na, SHI Xin-yuan, et al(朱向荣，李 娜，史新元，等) . Chemical Journal of Chinese Universities(高等学校化学学报)，2008，29(5)：906.
[3] HAO Yong, CAI Wen-sheng, SHAO Xue-guang(郝 勇，蔡文生，邵学广). Chemical Journal of Chinese Universities(高等学校化学学报)，2009，30(1)：28.
[4] CHU 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.
[5] CHENG Biao, CHEN De-zhao, WU Xiao-hua(成 飙，陈德钊，吴晓华). Chinese Journal of Analytical Chemistry(分析化学)，2006，34(特刊)：S123.
[6] Han Qingjuan, Wu Hailong, Cai Chenbo, et al. Analytica Chimica Acta，2008，612(2)：121.
[7] Thomas E V. Anal. Chem.，1994，66：795A.
[8] Spiegelman C H, McShane M J, Cote G L, et al. Anal. Chem.，1998，70：35.
[9] Bregman L. Dokl. Akad. Nauk SSSR，1965，162(3)：487.
[10] Araújo M C U, Saldanha T C B, Galvo R K H, et al. Chemometrics and Intelligent Laboratory Systems，2001，57：65.
[11] Nezio M S D, Pistonesi M F, Fragoso W D. Microchemical Journal，2007，85：194.
[12] Galvo R K H, Araújo M C U, Fragoso W D, et al. Chemometrics and Intelligent Laboratory Systems，2008，92：83.
[13] Geladi P, Kowalski B R. Analytica Chimica Acta，1986，185(1)：1.
[14] Kalivas J H. Chemometrics and Intelligent Laboratory Systems，1997，37：255.
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