The cosolvency models presented from 1960 to 2007 were reviewed and their accuracies for correlating and/or predicting the solubility of drugs in water-cosolvent mixtures were discussed. The cosolvency models could be divided into theoretical, semi-empirical and empirical models, the first group of models provide basic information from the solution, while the last group of models are good suitable for solubility correlation studies. The simplest cosolvency model, i.e. the log-linear model of Yalkowsky, provides an estimate of drug solubility in water-cosolvent mixtures using aqueous solubility of the drug, whereas the Jouyban-Acree model predicts the solubility with an acceptable error with the cost of one more data point (the solubility in neat cosolvent) which is required as input value in the prediction process. A number of error terms used in the literature was also discussed with a brief comments on the acceptable prediction error for pharmaceutical applications.

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Review of the cosolvency models for predicting solubility of drugs in water-cosolvent mixtures

Mathematical representation of thermodynamic properties: part ii. derivation of the combined nearly ideal binary solvent(nibs)/redlich-kister mathematical representation from a two-body and three-body interactional mixing model

Comparison of models for describing multiple peaks in solubility profiles

Comparison of various cosolvency models for calculating solute solubility in water-cosolvent mixtures

A general model from theoretical cosolvency models

Experimental solubilities are reported for carbazole dissolved in binary mixtures containing tetrahydropyran with n-hexane, n-heptane, clyclohexane, isooctane, n-hexadecane and t-butylcyclohexane at 25°C. Results of these measurements, along with published carbazole solubilities in ten alkane + dibutyl ether mixtures, are used to test two mathematical representations based upon the combined Nearly Ideal Binary Solvent (NIBS)/Redlich-Kister equations and Modified Wilson model. For the systems studied, the Modified Wilson equation is found to be the better two-parameter mathematical representation with deviations between experimental and back-calculated values being on the order of ± 3% or less. The NIBS/Redlich-Kister representation requires up to four adjustable “curve-fit” parameters to describe the solubility data.

Mathematical Representation of Thermodynamic Properties. Carbazole Solubilities in Binary Alkane + Dibutyl Ether and Alkane + Tetrahydropyran Solvent Mixtures

J W Mccargar

Papers

Mathematical Representation of Thermodynamic Properties. Carbazole Solubilities in Binary Alkane + Dibutyl Ether and Alkane + Tetrahydropyran Solvent Mixtures