Prediction of drug solubility in ethanol-ethyl acetate mixtures at various temperatures using the Jouyban-Acree model

被引：50
|
作者：
Jouybanl, A.
Acree, W. E., Jr. [1 ]
机构：
[1] Tabriz Univ Med Sci, Fac Pharm, Tabriz 51664, Iran
[2] Tabriz Univ Med Sci, Drug Appl Res Ctr, Tabriz 51664, Iran
[3] Univ N Texas, Dept Chem, Denton, TX 76203 USA
来源：
JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY | 2007年 / 17卷 / 02期
关键词：
solubility; prediction; maximum solubility; optimized solvent composition; Jouyban-Acree model; ethanol-ethyl acetate;
D O I：
10.1016/S1773-2247(07)50025-0
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
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.
引用
收藏
页码：159 / 160
页数：2
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