Solubility Prediction of Anthracene in Non-Aqueous Solvent Mixtures Using Jouyban-Acree Model

نویسندگان

  • Abolghasem Jouyban Faculty of Pharmacy and Drug Applied Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran
  • Hassan Jalilzadeh Kimia Research Institute, Tabriz, Iran
  • Maryam Khoubnasabjafari Kimia Research Institute, Tabriz, Iran
  • William Acree Jr. Department of Chemistry, University of North Texas, Denton, USA
چکیده مقاله:

      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.

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solubility prediction of anthracene in non-aqueous solvent mixtures using jouyban-acree model

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عنوان ژورنال

دوره 2  شماره 2

صفحات  73- 80

تاریخ انتشار 2006-04-01

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