Acta Photonica Sinica, Volume. 46, Issue 1, 112006(2017)
Near Infrared Diffuse Reflectance Spectroscopy for Rapid Detection of the Excipients′ Contents in Amlodipine Besylate Tablets
[1] [1] VIKRANT S, BHUPINDER S S. The regulation of pharmaceutical excipients[J]. Journal of Excipients and Food Chemicals, 2013, 4(3): 95-106.
[2] [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] [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] [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] [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] [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] [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] [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] [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] [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] [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] [12] KRMER 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] [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] [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] [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] [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] [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] [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] [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] [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] [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] [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] [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] [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] [25] MALLEY D F, RNICKE 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] [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.
Get Citation
Copy Citation Text
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): 112006
Received: Jul. 22, 2016
Accepted: --
Published Online: Feb. 9, 2017
The Author Email: Jun HAN (hjzy630@163.com)