Comparison of double log-log,mixture response-surface and combined NIBS/Redlich-Kister solubility models |
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| Institution: | 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: | The accuracy and prediction capability of the linear double log-log (LDL-L), mixture response-surface (MR-S) and the combined nearly ideal binary solvent/Redlich-Kister (CNIBS/R-K) solubility equations have been compared using the model parameters calculated from either the whole data or a minimum number of data in an experimental set. The CNIBS/R-K model produced better prediction for some experimental sets than the other two models when the parameters obtained from the whole data in a set were employed, whereas the LDL-L model was superior to the other models when the parameters calculated from a minimum number of data were used, indicating its greatest prediction capability. |
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