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Solubilization of Naproxen: Experimental Data and Computational Tools Publisher



Mohammadian E1 ; Jouyban A2, 3 ; Barzegarjalali M4 ; Rahimpour E2, 6
Authors
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Authors Affiliations
  1. 1. Department of Pharmaceutical Chemistry, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
  3. 3. Kimia Idea Pardaz Azarbayjan (KIPA) Science Based Company, Tabriz University of Medical Sciences, Tabriz, Iran
  4. 4. Research Center for Pharmaceutical Nanotechnology and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
  5. 5. Department of Chemistry, University of North Texas, Denton, 76203-5070, TX, United States
  6. 6. Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

Source: Journal of Molecular Liquids Published:2019


Abstract

A number of trained models based on the Jouyban-Acree model were proposed for prediction of naproxen (NAP) solubility in the cosolvency systems. The predictive cosolvency models were obtained by the combination of the Jouyban-Acree model with variables derived from the Abraham solvation parameters and the Hansen solubility parameters. The applicability of the proposed methods was evaluated by calculating the overall mean relative deviation (MRD%) values of the solubility data for NAP in 11 cosolvency systems and discussed. The proposed models enable the researchers to predict the solubility behavior of NAP in various solvent mixtures at different temperatures that can be helpful in the pharmaceutical industry. © 2019 Elsevier B.V.
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