| dc.contributor.author | Khoubnasabjafari, M | |
| dc.contributor.author | Shayanfar, A | |
| dc.contributor.author | Martinez, F | |
| dc.contributor.author | Acree, WE | |
| dc.contributor.author | Jouyban, A | |
| dc.date.accessioned | 2018-08-26T07:27:14Z | |
| dc.date.available | 2018-08-26T07:27:14Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/46857 | |
| dc.description.abstract | The trained versions of Jouyban-Acree and Yalkowsky models are proposed employing solubility data sets of 11 drugs in carbitol + water mixtures at various temperatures. Using these models, the solubility of a drug in the mono-solvents, the Abraham solvation parameters and log P value of the drug, its solubility in the binary solvent mixtures at various temperatures could be predicted. The mean percentage deviations for the correlated data were 137 and 20% respectively for the Yalkowsky and Jouyban-Acree models. (C) 2016 Elsevier B.V. All rights reserved. | |
| dc.language.iso | English | |
| dc.relation.ispartof | JOURNAL OF MOLECULAR LIQUIDS | |
| dc.subject | Solubility prediction | |
| dc.subject | Abraham solvation parameters | |
| dc.subject | Yalkowsky model | |
| dc.subject | Jouyban-Acree model | |
| dc.subject | Carbitol plus water | |
| dc.title | Generally trained models to predict solubility of drugs in carbitol plus water mixtures at various temperatures | |
| dc.type | Article | |
| dc.citation.volume | 219 | |
| dc.citation.spage | 435 | |
| dc.citation.epage | 438 | |
| dc.citation.index | Web of science | |
| dc.identifier.DOI | https://doi.org/10.1016/j.molliq.2016.03.043 | |
