Application of Wavelet Transform-Radial Basis Function Neural Network in NIRS for Determination of Rifampicin and Isoniazide Tablets
LU Jia-hui1, ZHANG Yi-bo1, ZHANG Zhuo-yong2, MENG Qing-fan1, GUO Wei-liang1, TENG Li-rong1*
1. College of Life Science, Jilin University, Changchun 130012, China 2. Department of Chemistry, MOE Key Lab for 3-D Information Acquisition and Applications, Capital Normal University, Beijing 100037, China
Abstract：A calibration model (WT-RBFNN) combination of wavelet transform (WT) and radial basis function neural network (RBFNN) was proposed for synchronous and rapid determination of rifampicin and isoniazide in Rifampicin and Isoniazide tablets by near infrared reflectance spectroscopy (NIRS). The approximation coefficients were used for input data in RBFNN. The network parameters including the number of hidden layer neurons and spread constant (SC) were investigated. WT-RBFNN model which compressed the original spectra data, removed the noise and the interference of background, and reduced the randomness, the capabilities of prediction were well optimized. The root mean square errors of prediction (RMSEP) for the determination of rifampicin and isoniazide obtained from the optimum WT-RBFNN model are 0.006 39 and 0.005 87, and the root mean square errors of cross-calibration (RMSECV) for them are 0.006 04 and 0.004 57, respectively which are superior to those obtained by the optimum RBFNN and PLS models. Regression coefficient (R) between NIRS predicted values and RP-HPLC values for rifampicin and isoniazide are 0.995 22 and 0.993 92, respectively and the relative error is lower than 2.300%. It was verified that WT-RBFNN model is a suitable approach to dealing with NIRS. The proposed WT-RBFNN model is convenient, and rapid and with no pollution for the determination of Rifampicin and Isoniazide tablets.
Key words：Wavelet transform (WT);Near infrared reflectance spectroscopy(NIRS);Radial basis function neural network (RBFNN);Rifampicin and isoniazide tablets
逯家辉1,张益波1,张卓勇2,孟庆繁1,郭伟良1,滕利荣1*. 小波变换近红外光谱结合径向基神经网络快速分析异福片[J]. 光谱学与光谱分析, 2008, 28(06): 1264-1268.
LU Jia-hui1, ZHANG Yi-bo1, ZHANG Zhuo-yong2, MENG Qing-fan1, GUO Wei-liang1, TENG Li-rong1*. Application of Wavelet Transform-Radial Basis Function Neural Network in NIRS for Determination of Rifampicin and Isoniazide Tablets. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(06): 1264-1268.
[1] Ripoche A, Guillard A S. Meat Science，2001, 58: 299. [2] Meng Q F, Teng L R, Lu J H, et al. Lecture Notes in Computer Science，2005, 3480: 1040. [3] Abrahamsson C, Jonasson J, Andersson-Egles S, et al. Anal. Chem., 2005, 77: 1055. [4] RAO Zhen-hong, LI Min-zan, JI Hai-yan(饶震红，李民赞，吉海彦). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(4): 633. [5] QU Hai-bin, LIU Quan, CHENG Yi-yu (瞿海斌，刘 全，程翼宇). Chinese J. Anal. Chem.(分析化学), 2004, 32(4): 477. [6] GAO Ling, REN Shou-xin(高 玲，任守信). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(1): 106. [7] TIAN Gao-you, YUAN Hong-fu, LIU Hui-ying, et al(田高友，袁洪福，刘慧颖，等). Chinese J. Anal. Chem.(分析化学), 2004, 32(9): 1125. [8] Powell M J D, Mason J C, Cox M G (Eds.). Algorithms for Approximation. Oxford：Oxford University Press, 1987. 143. [9] Derks E P P A, Pastor M S Sanchez, Buydens L M C. Chemom. Intell. Lab. Syst., 1995, 28: 49. [10] Dou Ying, Mi Hong, Zhao Lingzhi, et al. Spectrochimica Acta，Part A，2006, 65(1): 79. [11] Calleri E, De Lorenzi E, Furlanetto S, et al. Journal of Pharmaceutical and Biomedical Analysis，2002, 29(6): 1089. [12] Espinosa-Mansilla A, Acedo-Valenzuela M I, de la Pena A Munoz, et al. Talanta, 2002, 58: 273. [13] Argekar A P, Kunjir S S, Purandare K S. Journal of Pharmaceutical and Biomedical Analysis，1996, 14(11): 1645. [14] Espinosa-Mansilla A, Acedo-Valenzuela M I, de la Pena A Munoz, et al. Analytica Chimica Acta, 2001, 427: 129. [15] Blanco M, Coello J, Iturriaga H. Chemometrics and Intelligent Laboratory Systems，2000, 50: 75. [16] WANG Duo-jia, ZHOU Xiang-yang, JIN Tong-ming, et al(王多加，周向阳，金同铭，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(4): 447.
