期刊
JOURNAL OF MOLECULAR LIQUIDS
卷 219, 期 -, 页码 435-438出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.molliq.2016.03.043
关键词
Solubility prediction; Abraham solvation parameters; Yalkowsky model; Jouyban-Acree model; Carbitol plus water
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.
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