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dc.contributor.authorJouyban, A
dc.contributor.authorChew, NYK
dc.contributor.authorChan, HK
dc.contributor.authorKhoubnasabjafari, M
dc.contributor.authorAcree, WE
dc.date.accessioned2018-08-26T08:30:12Z
dc.date.available2018-08-26T08:30:12Z
dc.date.issued2006
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/51935
dc.description.abstractTo 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).
dc.language.isoEnglish
dc.relation.ispartofPHARMAZIE
dc.titleSolubility prediction of salicylic acid in water-ethanol-propylene glycol mixtures using the Jouyban-Acree model
dc.typeArticle
dc.citation.volume61
dc.citation.issue4
dc.citation.spage318
dc.citation.epage321
dc.citation.indexWeb of science


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