Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide

被引：41

作者：

Reddy, Tippana Ashok ^{[1
]}

Garlapati, Chandrasekhar ^{[1
]}

机构：

[1] Pondicherry Univ, Dept Chem Engn, Pondicherry Engn Coll, Pondicherry 605014, India

来源：

CHEMICAL ENGINEERING & TECHNOLOGY | 2019年 / 42卷 / 12期

关键词：

Degrees of freedom; Empirical models; Solubility; Supercritical carbon dioxide; SOLUTE SOLUBILITY; SOLID COMPOUNDS; ANTIINFLAMMATORY DRUGS; ACID; CO2; PREDICTION; THEOBROMINE; METHIMAZOLE; EXTRACTION; BENZOCAINE;

D O I：

10.1002/ceat.201900283

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The accurate experimental determination of pharmaceutical compound solubilities at various temperature and pressure ranges in supercritical carbon dioxide (ScCO2) is a challenging and time-consuming task. Therefore, prediction or correlations of solute solubilities are essential for implementation of ScCO2 technologies to pharmaceutical industries. Solubilities of 41 pharmaceutical compounds in ScCO2 are correlated by an empirical model, which is developed based on the degree of freedom analysis. Its correlating ability is compared with existing solubility models elaborated by other authors and evaluated in terms of global mean absolute relative deviation, sum of squares due to error, root mean square deviation, R-2, and Adj. R-2. The proposed model is found to correlate better than existing models.

引用

页码：2621 / 2630

页数：10

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