Solubility prediction in supercritical CO2 using minimum number of experiments

被引:73
作者
Jouyban, A [1 ]
Rehman, M
Shekunov, BY
Chan, HK
Clark, BJ
York, P
机构
[1] Tabriz Univ Med Sci, Sch Pharm, Tabriz 51664, Iran
[2] Univ Bradford, Bradford Sch Pharm, Bradford BD7 1DP, W Yorkshire, England
[3] Univ Sydney, Fac Pharm, Sydney, NSW 2006, Australia
[4] Bradford Particle Design, Bradford BD7 1HR, W Yorkshire, England
关键词
solubility; prediction; supercritical carbon dioxide; empirical equation;
D O I
10.1002/jps.10127
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The correlation ability and solubility prediction in supercritical carbon dioxide of a proposed equation were studied. The world. involved the solubilities of nicotinic acid and p-acetoxyacetanilide in supercritical carbon dioxide using a dynamic flow solubility system at 35-75degreesC and 100-200 bar. The generated experimental solubility data together with 21 data sets collected from the literature were used to evaluate the correlation ability of available empirical equations. The average absolute relative deviations (AARD) for the empirical equations are 12.6-24.8%. The prediction capability of the modified empirical relationship was studied with six experimental data points as a training set. Then, solubility at other temperatures and pressures were predicted. The AARD between predicted solubilities and observed values is 17%. (C) 2002 Wiley-Liss, Inc. and the American Pharmaceutical Association.
引用
收藏
页码:1287 / 1295
页数:9
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