Models to predict solubility in ternary solvents based on sub-binary experimental data

Citation
A. Jouyban-gharamaleki et al., Models to predict solubility in ternary solvents based on sub-binary experimental data, CHEM PHARM, 48(12), 2000, pp. 1866-1871
Citations number
33
Categorie Soggetti
Chemistry & Analysis
Journal title
CHEMICAL & PHARMACEUTICAL BULLETIN
ISSN journal
00092363 → ACNP
Volume
48
Issue
12
Year of publication
2000
Pages
1866 - 1871
Database
ISI
SICI code
0009-2363(200012)48:12<1866:MTPSIT>2.0.ZU;2-J
Abstract
The capability of the extended forms, of two well established cosolvency mo dels, i.e. the combined nearly ideal binary solvent/Redlich-Kister equation and the modified Wilson model, used to predict the solute solubility in no n-aqueous ternary solvent mixtures is presented. These predictions are base d on the measured solubilities of anthracene in binary solvent mixtures. As a result the values of average percent deviations were less than 2% for th e anthracene solubility. in ternary mixtures. This work was also extended to other cosolvency models, ie. the extended Hi ldebrand solubility approach and the mixture response surface method, which are also commonly used for correlating solubility data in ternary solvents . The accuracy of the models is compared with each other and also with a pu blished solubility model for ternary mixtures. The results illustrate that all models produced comparable accuracy.