In this work, the density and viscosity of five commonly used polymer aqueous solutions with a concentration range of 1–35 wt%, including polyvinylpyrrolidone (PVP) K25, PVP K30, PVP K90, polyethylene glycol (PEG) 6000 and hydroxypropyl methyl cellulose (HPMC), were determined at 293.15–313.15 K. The viscosity data were modeled by Simplified-Eyring-NRTL, Eyring-PC-SAFT and Simplified-Eyring-PC-SAFT models. Based on the correlation between the viscosity and the surface area fraction of solute and solvent, the Theta-Eyring-PC-SAFT model was proposed. The model had the best fitting effect on the viscosity data of PEG, PVP K25, PVP K30, PVP K90 and HPMC, and the correlation coefficients R 2 were 0.9998, 0.9988, 0.9995, 0.9999 and 0.9999, respectively. In addition, the viscosity data of other systems in the literatures were also fitted, and the R 2 values were all greater than 0.9900, which proved that the Theta-Eyring-PC-SAFT model was universal.
The in vitro solubility of poorly water-soluble drugs is one of the key parameters required for the development of the oral delivery system, but the determination of the solubility often relies on extensive experiments, which are time-consuming and costly. Therefore, it is meaningful to accurately model and predict the solubility of drugs in biorelevant media. Two insoluble drugs, oxaprozin and irbesartan , were selected and their solubilities in surfactant solutions, buffer solutions and biorelevant media were measured in this work. The thermodynamic phase behaviors of oxaprozin and irbesartan were modeled and predicted using Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) combined with pH-dependent and micellar solubilization models. The good agreement between the experimental results and the predicted values indicates the success of the model predictions, which provides the solubility database and good theoretical guidance for drug development and formulation selection.