Solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model.
To show the applicability of a solution model, i.e. the Jouyban-Acree model, for predicting the solubility of a solute in ternary solvent systems based on model constants computed using solubility data of the solute in binary solvent systems, the solubility of salicylic acid in water-ethanol, water-propylene glycol, ethanol-propylene glycol mixtures was determined. A minimum number of three data points from each binary system was used to calculate the binary interaction parameters of the model. Then the solubility in other binary solvent compositions and also in a number of ternary solvents was predicted, and the mean percentage deviation (MPD) was calculated as an accuracy criterion. The overall MPD (+/-SD) was 7.3 (+/-7.3)% and those of a similar predictive model was 15.7 (+/-11.5)%. The mean difference between the proposed and a previous model was statistically significant (paired t-test, p < 0.004).
Jouyban
A
A
Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz 51664, Iran. ajouyban@hotmail.com
Chew
N Y K
NY
Chan
H K
HK
Khoubnasabjafari
M
M
Acree
W E
WE
D000465:Algorithms; D000431:Ethanol; D008956:Models, Chemical; D015233:Models, Statistical; D014677:Pharmaceutical Vehicles; D011237:Predictive Value of Tests; D019946:Propylene Glycol; D020156:Salicylic Acid / Q000737:chemistry*; D012995:Solubility; D012997:Solvents; D014867:Water
D014677:Pharmaceutical Vehicles; D012997:Solvents; D014867:Water; D000431:Ethanol; D019946:Propylene Glycol; D020156:Salicylic Acid