A model to predict the solubility of drugs in ethanol + propylene glycol mixtures at various temperatures

dc.contributor.author	Jouyban, A
dc.contributor.author	Khoubnasabjafari, M
dc.contributor.author	Martinez, F
dc.date.accessioned	2018-08-26T08:32:24Z
dc.date.available	2018-08-26T08:32:24Z
dc.date.issued	2015
dc.identifier.uri	http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/52285
dc.description.abstract	A trained version of Jouyban-Acree model is proposed employing 32 solubility data sets of 5 drugs in ethanol + propylene glycol mixtures at various temperatures. Using this model, the solubilities of a drug in the mono-solvents and the Abraham solvation parameters are required to predict the solubility in the binary solvent mixtures. The overall mean percentage deviation for the correlated data was 11.0 %, and that of a predicted data set was 11.2 %. é 2015 Bulgarian Academy of Sciences, Union of Chemists in Bulgaria.
dc.language.iso	English
dc.relation.ispartof	Bulgarian Chemical Communications
dc.title	A model to predict the solubility of drugs in ethanol + propylene glycol mixtures at various temperatures
dc.type	Article
dc.citation.volume	47
dc.citation.issue	3
dc.citation.spage	800
dc.citation.epage	803
dc.citation.index	Scopus