A novel method for improvement of predictability of the CNIBS/R-K equation |
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| Institution: | 1. Department of Chemistry, University of North Texas, Denton, TX 76203, USA;2. Grupo de Investigaciones Farmacéutico-Fisicoquímicas, Departamento de Farmacia, Facultad de Ciencias, Universidad Nacional de Colombia-Sede Bogotá, Cra. 30 No. 45-03, Bogotá, D.C., Colombia;1. Grupo de Investigaciones Farmacéutico-Fisicoquímicas, Departamento de Farmacia, Universidad Nacional de Colombia, A.A. 14490, Bogotá D.C., Colombia;2. Pharmaceutical Engineering Laboratory, School of Chemical Engineering, College of Engineering, University of Tehran, P.O. Box 11155/4563, Tehran, Iran;3. Drug Applied Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz 51664, Iran |
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| Abstract: | A new method for obtaining the model constants of the combined nearly ideal binary solvent/Redlich-Kister (CNIBS/R-K) equation, via least square analysis has been presented. Predictability of CNIBS/R-K in a previous method and the new one of least square analysis has been compared using some experimental solubility data sets. The results have indicated that the new method improved the predictability of the CNIBS/R-K equation about 63%. |
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