Artificial Neural Networks for the Simultaneous Spectrophotometric Determination of Amoxicillin Trihydrate, Metronidazole and Pantoprazole in pharmaceutical Formulations.
Hendawy, H., Amin, A., moalla, S., Aish, M. (2023). Artificial Neural Networks for the Simultaneous Spectrophotometric Determination of Amoxicillin Trihydrate, Metronidazole and Pantoprazole in pharmaceutical Formulations.. EKB Journal Management System, 66(6), 119-127. doi: 10.21608/ejchem.2022.151776.6582
hassan Hendawy; Alaa S Amin; sayed Mohamed moalla; Mai Mahmoud Aish. "Artificial Neural Networks for the Simultaneous Spectrophotometric Determination of Amoxicillin Trihydrate, Metronidazole and Pantoprazole in pharmaceutical Formulations.". EKB Journal Management System, 66, 6, 2023, 119-127. doi: 10.21608/ejchem.2022.151776.6582
Hendawy, H., Amin, A., moalla, S., Aish, M. (2023). 'Artificial Neural Networks for the Simultaneous Spectrophotometric Determination of Amoxicillin Trihydrate, Metronidazole and Pantoprazole in pharmaceutical Formulations.', EKB Journal Management System, 66(6), pp. 119-127. doi: 10.21608/ejchem.2022.151776.6582
Hendawy, H., Amin, A., moalla, S., Aish, M. Artificial Neural Networks for the Simultaneous Spectrophotometric Determination of Amoxicillin Trihydrate, Metronidazole and Pantoprazole in pharmaceutical Formulations.. EKB Journal Management System, 2023; 66(6): 119-127. doi: 10.21608/ejchem.2022.151776.6582

Artificial Neural Networks for the Simultaneous Spectrophotometric Determination of Amoxicillin Trihydrate, Metronidazole and Pantoprazole in pharmaceutical Formulations.

Egyptian Journal of Chemistry
Article 13, Volume 66, Issue 6, June 2023, Page 119-127  XML PDF (531.18 K)
Document Type: Original Article
DOI: 10.21608/ejchem.2022.151776.6582
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Authors
hassan Hendawyorcid 1; Alaa S Aminorcid 2; sayed Mohamed moalla3; Mai Mahmoud Aish email 4
1National Organization of Drug Control and Research, Cairo, (Egypt).
2Department Chemistry, Faculty of science, Benha University, Benha, Egyptchemistry, science, Banha university
3Faculty of science, Port Said University, Port Said, Egypt
4Department Chemistry, Faculty of science, Port Said University, Port Said, Egypt.
Abstract
Amoxicillin Trihydrate, Metronidazole, and Pantoprazole have been spectrophotometric anticipated in drugs by utilization artificial Neural Networks and UV-Visible spectroscopy. Three components' spectra of absorption had been recorded within the 200-400 nm wavelength variety with a 1 nm interval. The standardization models were carefully tested at numerous levels of concentration the usage of artificial tertiary aggregate spectra (organized utilizing orthogonal strategy). For building and testing models, 3 layers feed-forward neural networks with the lower backward-spread set of rules (B.P) were used. numerous parameters had been optimized, consisting of the neuron quantity in the hidden layer, learning rate, and range of epochs. The RMSE for each analyte inside the actual pattern turned into 0.25, 0.34, and 0.43 for Amoxicillin Trihydrate, Metronidazole, and Pantoprazole, respectively. The results found out a high degree of agreement between predicted and actual values of concentration. The projected approach is a modest, properly described, and appropriate technique for figuring out the concentrations of Amoxicillin Trihydrate, Metronidazole, and Pantoprazole in tablets.
Keywords
Artificial Neural Networks; Amoxicillin Trihydrate; Metronidazole; Pantoprazole and pharmaceutical formulations
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