2006 Volume 54 Issue 11 Pages 1561-1566
A numerical method is proposed for predicting solubility of drugs in water–PEG 400 mixtures based on the Jouyban–Acree cosolvency model. The accuracy of the proposed method is evaluated by computing mean percentage deviation (MPD) and compared with that of log-linear model of Yalkowsky. The overall MPDs of the Jouyban–Acree model and the most accurate version of Yalkowsky's model are 39.8 (±46.7) % and 175.8 (±266.4) %, respectively, and the mean difference is statistically significant (p<0.0005). The proposed method produces acceptable residual distribution and the probability of solubility prediction with residual log of solubility <0.5 unit is 0.86. The applicability of the proposed method could be extended for predicting the solubility of drugs in water–PEG 400 mixtures at various temperatures. The impact of various log P values computed using different software is also studied and the results of ANOVA revealed that there are no significant differences between the accuracy of the predicted solubilities employing various log P values.
