期刊
JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY
卷 17, 期 2, 页码 159-160出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S1773-2247(07)50025-0
关键词
solubility; prediction; maximum solubility; optimized solvent composition; Jouyban-Acree model; ethanol-ethyl acetate
The profile of twenty-six solubility data sets in ethanol-ethyl acetate mixtures at various temperatures were reproduced using a trained version of the Jouyban-Acree model. The mean percentage deviation between predicted and observed solubilities was 13.1%. The maximum solubility (logX(m.max)) in the mixed solvent system and the corresponding solvent composition ((l.max)) were also predicted by the model. The overall average error of log(xm.max) was 0.07 +/- 0.04 in logarithmic scale and for f(l.max) was 0.07 +/- 0.07, which is equal to 7% when solvent composition is expressed as volume percentage of the cosolvent.
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