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Predicting the Solubility, Thermodynamic Properties and Preferential Solvation of Sulphamethazine in {Acetonitrile + Water} Mixtures Using a Minimum Number of Experimental Data Points Publisher



Khoubnasabjafari M1, 2 ; Delgado DR3 ; Martinez F4 ; Jouyban A5, 6 ; Acree WE7
Authors
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Authors Affiliations
  1. 1. Lung and Tuberculosis Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  2. 2. Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  3. 3. Universidad Cooperativa de Colombia, Department of Engineering, Industrial Engineering Program, GRIAUCC Research Group, Neiva, Colombia
  4. 4. Grupo de Investigaciones Farmaceutico-Fisicoquimicas, Departamento de Farmacia, Facultad de Ciencias, Universidad Nacional de Colombia – Sede Bogota, Bogota, Colombia
  5. 5. Pharmaceutical Analysis Research Center, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
  6. 6. Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Chemistry, University of North Texas, Denton, TX, United States

Source: Physics and Chemistry of Liquids Published:2021


Abstract

The all experimental solubility data of sulphamethazine in {acetonitrile (1) + water (2)} binary solvent mixtures at temperature range from (278.15 to 323.15) K have been carefully reanalysed. Then, a minimum number of experimental solubility data has been chosen to predict the solubility data at all possible solvent compositions and temperatures using interpolation technique. The predicted data was compared with the experimental data employing the average absolute percentage deviation (AAPD) as an accuracy criterion. The preferential solvation analyses based on the inverse Kirkwood-Buff integrals and also apparent thermodynamic properties were conducted employing the simulated data and the obtained results were compared with those obtained employing all data points. Gibbs energy and preferential solvation follow similar trends but enthalpy and entropy of dissolution exhibit significant differences. © 2020 Informa UK Limited, trading as Taylor & Francis Group.
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