UV Spectrophotometric Determination of Allopurinol and Benzbromarone in their Binary Mixture using Artificial Neural Networks and Genetic Algorithm- Artificial Neural Networks

Mohammad Wafaa I. Nassar; Khalid Abdel-Salam M. Attia; Ahmed Abdelhalim A. Mohamad; Ragab Ahmad M. Said; Rady Fathy A. Gaber

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International Journal of Advanced Research in Chemical Science

Volume 5, Issue 8, 2018, Page No: 24-29

UV Spectrophotometric Determination of Allopurinol and Benzbromarone in their Binary Mixture using Artificial Neural Networks and Genetic Algorithm- Artificial Neural Networks

Mohammad Wafaa I. Nassar¹, Khalid Abdel-Salam M. Attia¹, Ahmed Abdelhalim A. Mohamad¹, Ragab Ahmad M. Said¹, Rady Fathy A. Gaber¹

1.Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University, Nasr city, Cairo, Egypt.

Citation : Mohammad Wafaa I. Nassar,et.al, UV Spectrophotometric Determination of Allopurinol and Benzbromarone in their Binary Mixture using Artificial Neural Networks and Genetic Algorithm- Artificial Neural Networks International Journal of Advanced Research in Chemical Science 2018, 5(8) : 24-29

Abstract

Chemometric assisted spectrophotometric models were suggested for the selective quantitative determination of allopurinol and benzbromarone without previous separation. Multivariate artificial neural networks and genetic algorithm artificial neural networks were developed. The proposed methods were validated and successfully applied for the determination of the drugs in their commercial preparation.

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