Abstract：Spectral data compression and informative variable selection are the research focus on the application of NIR, which enable to simplify the model and improve the accuracy of prediction. The research used the pretreatment methods such as the second derivative, normalization and orthogonal signal correction (OSC) to filter irrelevant array according to the concentration of soluble solid content (SSC) based on the Vis/NIR spectroscopy of apricot. SCMWPLS was used to select 880, 894-910 and 932 nm as the regions for constructing prediction PLS model with correlation coefficient (R) of 0.920, standard error of calibration (SEC) of 0.454 and standard error of prediction (SEP) of 0.470 for SSC. Besides, after conducting an independent run for 100 times, GA obtained the regression variables as 888 and 900 nm according to the higher frequency of selection to set up GA.MLR prediction model, and the R, SEC and SEP were 0.905, 0.488 and 0.459 respectively. The results of the two modeling methods are both better than those of full-region PLS model. This demonstrates that OSC enables to filter irrelevant signal array according to the concentration of SSC and reduce the latent variables used for modeling. Also, SCMWPLS and GA can identify the optimal combination of information variables. These methods have a universal significance on building NIR express analysis model with low dimension and high precision.
曹楠宁，王加华，李鹏飞，韩东海* . 基于GA和SCMWPLS算法的NIR光谱信息变量提取研究 [J]. 光谱学与光谱分析, 2010, 30(04): 915-919.
CAO Nan-ning, WANG Jia-hua, LI Peng-fei, HAN Dong-hai* . Study on Variable Selection of NIR Spectral Information Based on GA and SCMWPLS . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(04): 915-919.
[1] YING Yi-bin, LIU Yan-de(应义斌, 刘燕德). Journal of Zhejiang University(Agric. & Life Sci.)(浙江大学学报·农业与生命科学版)), 2003, 29(2): 125. [2] Nicoli B M, Beullens K, Bobelyn E, et al. Postharvest Biology and Technology, 2007, 46: 99. [3] HAN Dong-hai, WANG Jia-hua(韩东海, 王加华). Chinese Journal of Lasers(中国激光), 2008, 35(8): 1123. [4] LIU Yan-de, SUN Xu-dong, CHEN Xing-miao(刘燕德, 孙旭东, 陈兴苗). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2008, 28(4): 797. [5] Kleynen O, Leemans V, Destain M F. Postharvest Biology and Technology, 2003, 30: 221. [6] McGlone V A, Martinsen P J, Clark C J, et al. Postharvest Biology and Technology, 2005, 37: 142. [7] Saranwong S, Sornsrivichai J, Kawano S. Journal of Near Infrared Spectroscopy, 2003, 11: 175. [8] Camps C, Christen D. LWT-Food Science and Technology, 2009, 42: 1125. [9] Xu Liang, Schechter Israel. Analytical Chemistry, 1996, 68: 1842. [10] Barnes R J, Dhanoa M S. Applied Spectroscopy, 1989, 43: 772. [11] Chen J Y, Iyo C, Teradab F. Journal of Near Infrared Spectroscopy, 2002 , 10: 301. [12] Wold S, Antti H, Lindgren F. Chemometrics and Intelligent Laboratory Systems, 1998, 44: 175. [13] Ferre J, Brown S D, Rius F X. Journal of Chemometrics, 2001, 15: 537. [14] Leardi R, González A L. Chemometrics and Intelligent Laboratory Systems, 1998, 41: 195. [15] Norgaard L, Saudland A, Wagner J, et al. Applied Spectroscopy, 2000, 54: 413. [16] Jiang J H, Berry R J, Siesler H W, et al. Analytical Chemistry, 2002, 74: 3555. [17] Du Y P, Liang Y Z, Jiang J H, et al. Analytica Chimica Acta, 2004, 501: 183.
