光子学报, 2017, 46 (1): 0112006, 网络出版: 2017-02-09   

近红外漫反射光谱法快速检测苯磺酸氨氯地平片辅料含量

Near Infrared Diffuse Reflectance Spectroscopy for Rapid Detection of the Excipients′ Contents in Amlodipine Besylate Tablets
作者单位
1 佳木斯大学 药学院, 黑龙江 佳木斯 154007
2 大连达硕信息技术有限公司, 辽宁 大连 116023
引用该论文

韩君, 孙长海, 陈爱明, 方洪壮. 近红外漫反射光谱法快速检测苯磺酸氨氯地平片辅料含量[J]. 光子学报, 2017, 46(1): 0112006.

HAN Jun, SUN Chang-hai, CHEN Ai-ming, FANG Hong-zhuang. Near Infrared Diffuse Reflectance Spectroscopy for Rapid Detection of the Excipients′ Contents in Amlodipine Besylate Tablets[J]. ACTA PHOTONICA SINICA, 2017, 46(1): 0112006.

参考文献

[1] VIKRANT S, BHUPINDER S S. The regulation of pharmaceutical excipients[J]. Journal of Excipients and Food Chemicals, 2013, 4(3): 95-106.

[2] QUYANG Q, ZHAO J, CHEN Q. Measurement of non-sugar solids content in chinese rice wine using near infrared spectroscopy combined with an efficient characteristic variables selection algorithm[J]. Molecular and Biomolecular Spectroscopy, 2015, 151: 280-285.

[3] ZHOU S, WANG Z, LU L, et al. Rapid quantification of stabilizing agents in single-base propellants using near infrared spectroscopy[J]. Infrared Physics & Technology, 2016, 77: 1-7.

[4] DOU Y, QU N, WANG B, et al. Simultaneous determination of two active components in compound aspirin tablets using principal component artificial neural networks (PC-ANNs) on NIR spectroscopy[J]. European Journal of Pharmaceutical Sciences, 2007, 32(3): 193-199.

[5] ZHAO Y R, YU K Q, HE Y. Hyperspectral imaging coupled with random frog and calibration models for assessment of total soluble solids in mulberries[J]. Journal of Analytical Methods in Chemistry, 2015(2): 343782.

[6] LUO Q, YUN Y, FAN W, et al. Application of near infrared spectroscopy for the rapid determination of epimedin A, B, C and icariin in Epimedium[J]. Rsc Advances, 2014, 5(7): 5046-5052.

[7] GOODARZI M, SAEYS W. Selection of the most informative near infrared spectroscopy wavebands for continuous glucose monitoring in human serum[J]. Talanta, 2016, 146: 155-165.

[8] YAO X J, PANAYE A, DOUCET J P, et al. Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression[J]. Journal of Chemical Information and Computer Sciences, 2004, 44(4): 1257-1266.

[9] THISSEN U, VAN BRAKEL R, DE WEIJER A P, et al. Using support vector machines for time series prediction[J]. Chemometrics and Intelligent Laboratory Systems, 2003, 69(1): 35-49.

[10] PIERNA J A, BAETEN V, RENIER A M, et al. Combination of support vector machines (SVM) and near-infrared (NIR) imaging spectroscopy for the detection of meat and bone meal (MBM) in compound feeds[J]. Journal of Chemometrics, 2004, 18(7-8): 341-349.

[11] AMENDOLIA S R, COSSU G, GANADU M L, et al. A comparative study of k-nearest neighbour, support vector machine and multi-layer perceptron for thalassemia screening[J]. Chemometrics and Intelligent Laboratory Systems, 2003, 69(1): 13-20.

[12] KRMER N, BOULESTEIX A L, TUTZ G. Penalized partial least squares with applications to B-spline transformations and functional data[J]. Chemometrics and Intelligent Laboratory Systems, 2008, 94(1): 60-69.

[13] GHASEMI J, NIAZI A. Spectrophotometric simultaneous determination of nitroaniline isomers by orthogonal signal correction-partial least squares[J]. Talanta, 2005, 65(5): 1168-1173.

[14] NIAZI A, YAZDANIPOUR A. Spectrophotometric simultaneous determination of nitrophenol isomers by orthogonal signal correction and partial least squares[J]. Journal of Hazardous Materials, 2007, 146(1): 421-427.

[15] YUN Y H, LI H D, WOOD L R E, et al. An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2013, 111: 31-36.

[16] ALEXANDRIDIS A, PATRINOS P, SARIMVEIS H, et al. A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models[J]. Chemometrics and Intelligent Laboratory Systems, 2005, 75(2): 149-162.

[17] LI H D, XU Q S, LIANG Y Z. Random frog: an efficient reversible jump Markov chain Monte Carlo-like approach for variable selection with applications to gene selection and disease classification[J]. Analytica Chimica Acta, 2012, 740: 20-26.

[18] LI H, LIANG Y, XU Q, et al. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration[J]. Analytica Chimica Acta, 2009, 648(1): 77-84.

[19] ZHENG K, LI Q, WANG J, et al. Stability competitive adaptive reweighted sampling (SCARS) and its applications to multivariate calibration of NIR spectra[J]. Chemometrics and Intelligent Laboratory Systems, 2012, 112: 48-54.

[20] CHONG I G, JUN C H. Performance of some variable selection methods when multicollinearity is present[J]. Chemometrics and Intelligent Laboratory Systems, 2005, 78(1): 103-112.

[21] CHAPELLE O, HAFFNER P, VAPNIK V N. Support vector machines for histogram-based image classification[J]. IEEE Transactions on Neural Networks, 1999, 10(5): 1055-1064.

[22] DRUCKER H, WU D, VAPNIK V N. Support vector machines for spam categorization[J]. IEEE Transactions on Neural Networks, 1999, 10(5): 1048-1054.

[23] BELOUSOV A I, VERZAKOV S A, VONFRESE J. Applicational aspects of support vector machines[J]. Journal of Chemometrics, 2002, 16(8-10): 482-489.

[24] MALLEY D F, MCCLURE C, MARTIN P D, et al. Compositional analysis of cattle manure during composting using a field-portable near-infrared spectrometer[J]. Communications in Soil Science and Plant Analysis, 2005, 36(4-6): 455-475.

[25] MALLEY D F, RNICKE H, FINDLAY D L, et al. Feasibility of using near-infrared reflectance spectroscopy for the analysis of C, N, P, and diatoms in lake sediments[J]. Journal of Paleolimnology, 1999, 21(3): 295-306.

[26] RITCHIE G E, ROLLER R W, CIURCZAK E W, et al. Validation of a near-infrared transmission spectroscopic procedure: part B: application to alternate content uniformity and release assay methods for pharmaceutical solid dosage forms[J]. Journal of Pharmaceutical and Biomedical Analysis, 2002, 29(1): 159-171.

韩君, 孙长海, 陈爱明, 方洪壮. 近红外漫反射光谱法快速检测苯磺酸氨氯地平片辅料含量[J]. 光子学报, 2017, 46(1): 0112006. HAN Jun, SUN Chang-hai, CHEN Ai-ming, FANG Hong-zhuang. Near Infrared Diffuse Reflectance Spectroscopy for Rapid Detection of the Excipients′ Contents in Amlodipine Besylate Tablets[J]. ACTA PHOTONICA SINICA, 2017, 46(1): 0112006.

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