Solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model

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Article on the solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model.

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4 p.

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Jouyban, Abolghasem; Chew, Nora Yat Knork; Chan, H.; Khoubnasabjafari, M. & Acree, William E. (William Eugene) 2006.

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  • Govi-Verlag
    Place of Publication: [Eschborn, Germany]

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Article on the solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model.

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4 p.

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Abstract: 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).

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  • Pharmazie, 2006, Eschborn: Govi-Verlag, pp. 318-321

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  • Publication Title: Pharmazie
  • Volume: 61
  • Page Start: 318
  • Page End: 321
  • Peer Reviewed: Yes

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  • 2006

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  • April 3, 2014, 8:46 p.m.

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  • June 10, 2014, 11:19 a.m.

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Jouyban, Abolghasem; Chew, Nora Yat Knork; Chan, H.; Khoubnasabjafari, M. & Acree, William E. (William Eugene). Solubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model, article, 2006; [Eschborn, Germany]. (digital.library.unt.edu/ark:/67531/metadc282593/: accessed September 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.