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METHODS AND OBJECTS OF CHEMICAL ANALYSIS
An international journal devoted to all aspects of analytical chemistry ISSN 2413-6166 (Online), ISSN 1991-0290 (Print) |
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Spectrophotometric Analysis of Quaternary Drug Mixtures using Artificial Neural network model |
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* Corresponding authors
†Department of Chemistry, College of Education for Pure Science/ Ibn Al-Haitham, Adhamiya, University of Baghdad,
Baghdad-Iraq; |
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Methods Objects Chem. Anal., 2022, 17(3), p. 118-124 https://doi.org/10.17721/moca.2022.118-124 The article is distributed under open access Creative Commons Attribution License CC BY 4.0. |
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Abstract
A Novel artificial neural network (ANN) model was constructed for calibration of a multivariate model for simultaneously quantitative analysis of the quaternary mixture composed of carbamazepine, carvedilol, diazepam, and furosemide. An eighty-four mixing formula where prepared and analyzed spectrophotometrically. Each analyte was formulated in six samples at different concentrations thus twentyfour samples for the four analytes were tested. A neural network of 10 hidden neurons was capable to fit data 100%. The suggested model can be applied for the quantitative chemical analysis for the proposed quaternary mixture.
Keywords: artificial neural network, simultaneous spectrophotometric analysis, quaternary mixture, carbamazepine, carvedilol, diazepam, furosemide
Article language: En
Publisher: Taras Shevchenko National University, Kiev Ukraine
(Analytical chemistry department at Taras Shevchenko
National University, 64 Vladimirskaya STR., Kiev, 01601 UKRAINE)
analysis@univ.kiev.ua,
www.univ.kiev.ua,
+380 (44) 2393444
The journal is indexed in SCOPUS and Web of Science
The journal website: www.moca.net.ua
The articles in this journal are licensed under
CC BY 4.0
