title: Prediction of the optimized solvent composition for solubilization of drugs in water-cosolvent mixtures.
abstract: The capability of the Jouyban-Acree model for predicting the optimized solvent composition of binary solvents for solubilization of drugs is shown employing solubility of drugs in aqueous mixtures of dioxane, ethanol and polyethylene glycol 400. The established model constants of the Jouyban-Acree model and solubility of drugs in water and cosolvent are used to predict the maximum solubility of in the binary solvent mixture (log Xm(max)) and the corresponding solvent composition (f1,max). The accuracy of the predicted log Xm(max) and f1,max is studied using average absolute error (AAE) of predicted and observed values. The AAEs were 0.10 +/- 0.12 and 0.08 +/- 0.10, respectively for log Xm(max) and f1,max. The method provided acceptable predictions and is recommended for practical applications. The main advantage of the proposed method is its extension to temperatures higher/lower than room temperature.
authors.affiliation: Faculty of Pharmacy and Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. ajouyban@hotmail.com
authors.forename: A
authors.initials: A
authors.lastname: Jouyban
mesh_terms: D000465:Algorithms; D055598:Chemical Phenomena; D002627:Chemistry, Physical; D003198:Computer Simulation; D005544:Forecasting; D015233:Models, Statistical; D004364:Pharmaceutical Preparations / Q000737:chemistry*; D011092:Polyethylene Glycols / Q000737:chemistry; D011237:Predictive Value of Tests; D012984:Software; D012997:Solvents; D014867:Water
chemical_list: D004364:Pharmaceutical Preparations; D012997:Solvents; D014867:Water; D011092:Polyethylene Glycols