Least-Squares Support Vector Machine and its Application in the Simultaneous Quantitative Spectrophotometric Determination of Pharmaceutical Ternary Mixture Determination of pharmaceutical ternary mixture
Iranian Journal of Pharmaceutical Sciences,
مجلد 14 عدد 3 (2018),
1 July 2018
,
الصفحة 25-36
https://doi.org/10.22037/ijps.v14.40636
الملخص
This paper proposes the least-squares support vector machine (LS-SVM) as an intelligent method applied on absorption spectra for the simultaneous determination of paracetamol (PCT), caffeine (CAF), and ibuprofen (IB) in Novafen. The signal to noise ratio (S/N) increased. Also, In the LS - SVM model, Kernel parameter (
الكلمات المفتاحية:
- least-squares support vector machine
- UV Spectroscopy
- Paracetamol
- Caffeine
- Ibuprofen
- Novafen
كيفية الاقتباس
Mofavvaz, S. ., Sohrabi, M. R. ., Sahebi Farhad, S. ., & Nezamzadeh-Ejhieh, A. . (2018). Least-Squares Support Vector Machine and its Application in the Simultaneous Quantitative Spectrophotometric Determination of Pharmaceutical Ternary Mixture: Determination of pharmaceutical ternary mixture. Iranian Journal of Pharmaceutical Sciences, 14(3), 25–36. https://doi.org/10.22037/ijps.v14.40636
المراجع
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[3] Martyna J. Least Squares Support Vector Machines for Clustering in Wireless Sensor Networks, Proceedings of the 2nd National Scientific Conference on Data Processing (2007) 347-358.
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[6] Barzilay O, Brailovsky V.L. On domain knowledge and feature selection using a support vector machine, Pattern Recognition Letters (1999) 20 (5): 475-484.
[7] Borin A, Ferrao M. F, Mello C, Cordi L, Pataca L. C. M, Duran N, Poppi R. J. Quantification of Lactobacillus in fermented milk by multivariate image analysis with least-squares support-vector machines, Anal Bioanal Chem (2007) 387 (3): 1105–1112.
[8] Liu F, Zhou Z. A new data classification method based on chaotic particle swarm optimization and least square-support vector machine, Chemometrics and Intelligent Laboratory Systems (2015) 147: 147-156.
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[11] Hajian R, Afshari N. The Spectrophotometric Multicomponent Analysis of a Ternary Mixture of Ibuprofen, Caffeine and Paracetamol by the Combination of Double Divisor- Ratio Spectra Derivative and H-Point Standard Addition Method, E-Journal of Chemistry (2012) 9 (3): 1153-1164.
[12] Tsvetkova B, Kostova B, pencheva I, Zlatkov A, Rachev D, Peikov P. Validated LC method for simultaneous analysis of paracetamol and caffeine in model tablet formulation, Int J Pharm Pharm Sci (2012) 4: 680-684.
[13] Aziz A. A, Ahmed K. Simultaneous determination of paracetamol with different active pharmaceutical ingeredient (API) and excipient in various dosage forms. Sci.Int. (Lahore) 27 (6): (2015) 6173-6176.
[14] Tavallali H, Sheikhaei M. Simultaneous kinetic determination of paracetamol and caffeine by H-point standard addition method, African Journal of Pure and Applied Chemistry. (2009) 3 (1): 11-19.
[15] Svorc L. Determination of Caffeine: A Comprehensive Review on Electrochemical Methods, Int. J. Electrochem. Sci (2013) 8: 5755 – 5773.
[16] Khoshayand M.R, Abdollahi H, Shariatpanahi M, Saadatfard A, Mohammadi A. Simultaneous spectrophotometric determination of paracetamol, ibuprofen and caffeine in pharmaceuticals by chemometric methods, Spectrochimica Acta Part A (2008) 70 (3): 491–499.
[17] Harde M, Wankhede S, Chaudhari P. Development of validated UV spectrophotometric method for simultaneous estimation of ibuprofen, paracetamol and caffeine in the bulk drug and marketed formulation, World Journal of Pharmaceutical Research (2015) 4 (9): 1428-1436.
[18] Aktas A. H, Kitis F. Spectrophotometric Simultaneous Determination of Caffeine and Paracetamol in Commercial Pharmaceutical by Principal Component Regression, Partial Least Squares and Artificial Neural Networks Chemometric Methods, Croat. Chem. Acta (2014) 87 (1): 69–74.
[19] AS L, JSA P. Determination of Paracetamol and Ibuprofen in Tablets and Urine Using Spectrofluorimetric Determination Coupled with Chemometric Tools, Austin Journal of Analytical and Pharmaceutical Chemistry (2014) 1 (1): 1-7.
[20] Mahesh P, Swapnalee K, Aruna1M, Anilchandra B, Prashanti S. Analytical method development and validation of Acetaminophen, Caffeine, Phenylephrine Hydrochloride and Dextromethorphan Hydrobromide in tablet dosage form by Rp- Hplc, IJPSI (2013) 2 (2): 9-15.
[21] Pyka A, Budzisz M, DoBowy M. Validation Thin Layer Chromatography for the determination of Acetaminophen in tablets and comparison with a Pharmacopeial method, BioMed Research International. (2013) 2013:1-10.
[22] Tsvetkova B. G, Kostova B. D, Rachev D. R, Peikova1L. P, Pencheva I. P. HPLC assay and stability studies of tablets containing Paracetamol and Caffeine, Int. J. Pharm. Sci. Rev. Res (2013) 18 (1):138-142.
[23] Cunha R. R, Chaves S. C, Ribeiro M. M. A. C, L. Torres M. F. C, Munoz R. A. A, Dos Santos W. T. P, Richter E. M. Simultaneous determination of caffeine, paracetamol, and ibuprofen in pharmaceutical formulations by high-performance liquid chromatography with UV detection and by capillary electrophoresis with conductivity detection, J. Sep. Sci (2015) 38 (10): 1657–1662.
[24] Sohrabi M. R, Darabi G. The application of continuous wavelet transform and least squares support vector machine for the simultaneous quantitative spectrophotometric determination of Myricetin, Kaempferol and Quercetin as flavonoids in pharmaceutical plants, Spectrochimica Acta Part A (2016) 152: 443–452.
[25] Sohrabi M. R, Zarkesh M. T. Spectra resolution for simultaneous spectrophotometric determination of lamivudine and zidovudine components in pharmaceutical formulation of human immunodeficiency virus drug based on using continuous wavelet transform and derivative transform techniques, Talanta (2014) 122: 223–228.
[26] Mofavvaz Sh, Sohrabi M. R, Nezamzadeh-Ejhieh A. New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry method, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy (2017) 182:105–115.
[27] Zhua X, Shan Y, Li G, Huang A, Zhang Z. Prediction of wood property in Chinese Fir based on visible/near-infrared spectroscopy and least square-support vector machine, Spectrochimica Acta Part A (2009) 74 (2): 344–348.
[28] Samsudin R, Saad P, Shabri A. River flow time series using least squares support vector machines, Hydrol. Earth Syst. Sci (2011) 15 (6):1835–1852.
[29] Xu H, Chen G. An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO, Mechanical Systems and Signal Processing (2013) 35 (1-2): 167–175.
[30] de Kruif B. J, de Vries T. J. A. Pruning Error Minimization in Least Squares Support Vector Machines, IEEE Transactions On Neural Networks (2003) 14 (3): 696-702.
[31] Khan F, Enzmann F, Kersten M. Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples, Solid Earth (2016) 7 (2): 481–492.
[32] Scholkopf B, Williamson R.C, Bartlett P. L. New Support Vector Algorithms, Neural Computation (2000) 12 (5):1207–1245.
[33] Smola A. J, Scholkopf B. A tutorial on support vector regression, Statistics and Computing (2004) 14 (3):199–222.
[34] Samui P. Application of Least Square Support Vector Machine (LSSVM) for Determination of Evaporation Losses in Reservoirs, Engineering ( 2011) 3 (4):431-434.
[35] Li G, Niu P, Zhang W, Liu Y. Model NOx emissions by least squares support vector machine with tuning based on ameliorated teaching–learning-based optimization, Chemometrics and Intelligent Laboratory Systems (2013) 126:11- 20.
[36] Liu F, He Y. Use of Visible and Near Infrared Spectroscopy and Least Squares-Support Vector Machine To Determine Soluble Solids Content and pH of Cola Beverage, J. Agric Food Chem (2007) 55 (22): 8883-8888.
[37] SadeghpourHaji M, Mirbagheri S. A, Javid A. H, Khezri M, Najafpour G. D. A Wavelet Support Vector Machine Combination Model for Daily Suspended Sediment Forecasting, International Journal of Engineering (2014) 27 (6): 855-864.
[2] Suykens J.A.K, De Brabanter J, Lukas L, Vandewalle J. Weighted least squares support vector machines: robustness and sparse approximation, Neurocomputing (2002) 48 (1-4): 85–105.
[3] Martyna J. Least Squares Support Vector Machines for Clustering in Wireless Sensor Networks, Proceedings of the 2nd National Scientific Conference on Data Processing (2007) 347-358.
[4] Borin A, Ferrao M. F, Mello C, Maretto D. A, Poppi R. J. Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk, Analytica Chimica Acta (2006) 579 (1): 25–32.
[5] Burges C. J.C. A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery (1998) 2 (2) :121-167.
[6] Barzilay O, Brailovsky V.L. On domain knowledge and feature selection using a support vector machine, Pattern Recognition Letters (1999) 20 (5): 475-484.
[7] Borin A, Ferrao M. F, Mello C, Cordi L, Pataca L. C. M, Duran N, Poppi R. J. Quantification of Lactobacillus in fermented milk by multivariate image analysis with least-squares support-vector machines, Anal Bioanal Chem (2007) 387 (3): 1105–1112.
[8] Liu F, Zhou Z. A new data classification method based on chaotic particle swarm optimization and least square-support vector machine, Chemometrics and Intelligent Laboratory Systems (2015) 147: 147-156.
[9] Li Y, Shao X, Cai W. A consensus least squares support vector regression (LS-SVR) for analysis of near-infrared spectra of plant samples, Talanta (2007) 72 (1): 217–222.
[10] Yusof Y, Mustaffa Z. Dengue Outbreak Prediction: A Least Squares Support Vector Machines Approach, International Journal of Computer Theory and Engineering (2011) 3 (4): 489-493.
[11] Hajian R, Afshari N. The Spectrophotometric Multicomponent Analysis of a Ternary Mixture of Ibuprofen, Caffeine and Paracetamol by the Combination of Double Divisor- Ratio Spectra Derivative and H-Point Standard Addition Method, E-Journal of Chemistry (2012) 9 (3): 1153-1164.
[12] Tsvetkova B, Kostova B, pencheva I, Zlatkov A, Rachev D, Peikov P. Validated LC method for simultaneous analysis of paracetamol and caffeine in model tablet formulation, Int J Pharm Pharm Sci (2012) 4: 680-684.
[13] Aziz A. A, Ahmed K. Simultaneous determination of paracetamol with different active pharmaceutical ingeredient (API) and excipient in various dosage forms. Sci.Int. (Lahore) 27 (6): (2015) 6173-6176.
[14] Tavallali H, Sheikhaei M. Simultaneous kinetic determination of paracetamol and caffeine by H-point standard addition method, African Journal of Pure and Applied Chemistry. (2009) 3 (1): 11-19.
[15] Svorc L. Determination of Caffeine: A Comprehensive Review on Electrochemical Methods, Int. J. Electrochem. Sci (2013) 8: 5755 – 5773.
[16] Khoshayand M.R, Abdollahi H, Shariatpanahi M, Saadatfard A, Mohammadi A. Simultaneous spectrophotometric determination of paracetamol, ibuprofen and caffeine in pharmaceuticals by chemometric methods, Spectrochimica Acta Part A (2008) 70 (3): 491–499.
[17] Harde M, Wankhede S, Chaudhari P. Development of validated UV spectrophotometric method for simultaneous estimation of ibuprofen, paracetamol and caffeine in the bulk drug and marketed formulation, World Journal of Pharmaceutical Research (2015) 4 (9): 1428-1436.
[18] Aktas A. H, Kitis F. Spectrophotometric Simultaneous Determination of Caffeine and Paracetamol in Commercial Pharmaceutical by Principal Component Regression, Partial Least Squares and Artificial Neural Networks Chemometric Methods, Croat. Chem. Acta (2014) 87 (1): 69–74.
[19] AS L, JSA P. Determination of Paracetamol and Ibuprofen in Tablets and Urine Using Spectrofluorimetric Determination Coupled with Chemometric Tools, Austin Journal of Analytical and Pharmaceutical Chemistry (2014) 1 (1): 1-7.
[20] Mahesh P, Swapnalee K, Aruna1M, Anilchandra B, Prashanti S. Analytical method development and validation of Acetaminophen, Caffeine, Phenylephrine Hydrochloride and Dextromethorphan Hydrobromide in tablet dosage form by Rp- Hplc, IJPSI (2013) 2 (2): 9-15.
[21] Pyka A, Budzisz M, DoBowy M. Validation Thin Layer Chromatography for the determination of Acetaminophen in tablets and comparison with a Pharmacopeial method, BioMed Research International. (2013) 2013:1-10.
[22] Tsvetkova B. G, Kostova B. D, Rachev D. R, Peikova1L. P, Pencheva I. P. HPLC assay and stability studies of tablets containing Paracetamol and Caffeine, Int. J. Pharm. Sci. Rev. Res (2013) 18 (1):138-142.
[23] Cunha R. R, Chaves S. C, Ribeiro M. M. A. C, L. Torres M. F. C, Munoz R. A. A, Dos Santos W. T. P, Richter E. M. Simultaneous determination of caffeine, paracetamol, and ibuprofen in pharmaceutical formulations by high-performance liquid chromatography with UV detection and by capillary electrophoresis with conductivity detection, J. Sep. Sci (2015) 38 (10): 1657–1662.
[24] Sohrabi M. R, Darabi G. The application of continuous wavelet transform and least squares support vector machine for the simultaneous quantitative spectrophotometric determination of Myricetin, Kaempferol and Quercetin as flavonoids in pharmaceutical plants, Spectrochimica Acta Part A (2016) 152: 443–452.
[25] Sohrabi M. R, Zarkesh M. T. Spectra resolution for simultaneous spectrophotometric determination of lamivudine and zidovudine components in pharmaceutical formulation of human immunodeficiency virus drug based on using continuous wavelet transform and derivative transform techniques, Talanta (2014) 122: 223–228.
[26] Mofavvaz Sh, Sohrabi M. R, Nezamzadeh-Ejhieh A. New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry method, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy (2017) 182:105–115.
[27] Zhua X, Shan Y, Li G, Huang A, Zhang Z. Prediction of wood property in Chinese Fir based on visible/near-infrared spectroscopy and least square-support vector machine, Spectrochimica Acta Part A (2009) 74 (2): 344–348.
[28] Samsudin R, Saad P, Shabri A. River flow time series using least squares support vector machines, Hydrol. Earth Syst. Sci (2011) 15 (6):1835–1852.
[29] Xu H, Chen G. An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO, Mechanical Systems and Signal Processing (2013) 35 (1-2): 167–175.
[30] de Kruif B. J, de Vries T. J. A. Pruning Error Minimization in Least Squares Support Vector Machines, IEEE Transactions On Neural Networks (2003) 14 (3): 696-702.
[31] Khan F, Enzmann F, Kersten M. Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples, Solid Earth (2016) 7 (2): 481–492.
[32] Scholkopf B, Williamson R.C, Bartlett P. L. New Support Vector Algorithms, Neural Computation (2000) 12 (5):1207–1245.
[33] Smola A. J, Scholkopf B. A tutorial on support vector regression, Statistics and Computing (2004) 14 (3):199–222.
[34] Samui P. Application of Least Square Support Vector Machine (LSSVM) for Determination of Evaporation Losses in Reservoirs, Engineering ( 2011) 3 (4):431-434.
[35] Li G, Niu P, Zhang W, Liu Y. Model NOx emissions by least squares support vector machine with tuning based on ameliorated teaching–learning-based optimization, Chemometrics and Intelligent Laboratory Systems (2013) 126:11- 20.
[36] Liu F, He Y. Use of Visible and Near Infrared Spectroscopy and Least Squares-Support Vector Machine To Determine Soluble Solids Content and pH of Cola Beverage, J. Agric Food Chem (2007) 55 (22): 8883-8888.
[37] SadeghpourHaji M, Mirbagheri S. A, Javid A. H, Khezri M, Najafpour G. D. A Wavelet Support Vector Machine Combination Model for Daily Suspended Sediment Forecasting, International Journal of Engineering (2014) 27 (6): 855-864.
- الملخص المشاهدات: 79 الأوقات
- IJPS_Volume 14_Issue 3_Pages 25-36 (English) التنزيلات: 21 الأوقات