Title of article :
Solubility Prediction of Anthracene in Non-Aqueous Solvent Mixtures Using Jouyban-Acree Model
Author/Authors :
Abolghasem Jouyban، نويسنده , , Hassan Jalilzadeh، نويسنده , , Maryam Khoubnasabjafari، نويسنده , , William E. Acree Jr، نويسنده ,
Issue Information :
فصلنامه با شماره پیاپی سال 2006
Abstract :
A quanitative structure property relationship was proposed to calculate the binary interaction terms of the Jouyban-Acree model using solubility parameter, boiling point, vapour pressure and density of solvents. The applicability of the proposed method for reproducing solubility data of anthracene in binary solvents has been evaluated using 116 solubility data sets collected from the literature. The mean percentage deviation (MPD) of experimental and calculated solubilities has been computed as a measure of accuracy and the MPD of the proposed method was ~ 6 %. The accuracy of the method was compared with that of a previously reported method where the MPD was ~ 12 % and the mean differences between proposed and previous methods was statistically significant.
Keywords :
Jouyban-Acree model , modeling , prediction , Solubility , Solvent mixtures
Journal title :
Iranian Journal of Pharmaceutical Sciences (IJPS)
Journal title :
Iranian Journal of Pharmaceutical Sciences (IJPS)