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Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide
Author(s) -
Reddy Tippana Ashok,
Garlapati Chandrasekhar
Publication year - 2019
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201900283
Subject(s) - solubility , supercritical carbon dioxide , dimensionless quantity , supercritical fluid , absolute deviation , carbon dioxide , thermodynamics , relative standard deviation , approximation error , chemistry , materials science , mathematics , chromatography , statistics , organic chemistry , physics , detection limit
The accurate experimental determination of pharmaceutical compound solubilities at various temperature and pressure ranges in supercritical carbon dioxide (ScCO 2 ) is a challenging and time‐consuming task. Therefore, prediction or correlations of solute solubilities are essential for implementation of ScCO 2 technologies to pharmaceutical industries. Solubilities of 41 pharmaceutical compounds in ScCO 2 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.