Literature DB >> 11145133

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

A Jouyvan-Gharamaleki1, B J Clark, W E Acree.   

Abstract

The capability of the extended forms, of two well established cosolvency models, i.e. the combined nearly ideal binary solvent/Redlich-Kister equation and the modified Wilson model, used to predict the solute solubility in non-aqueous ternary solvent mixtures is presented. These predictions are based on the measured solubilities of anthracene in binary solvent mixtures. As a result the values of average percent deviations were less than 2% for the anthracene solubility in ternary mixtures. This work was also extended to other cosolvency models, ie. the extended Hildebrand 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 published solubility model for ternary mixtures. The results illustrate that all models produced comparable accuracy.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11145133     DOI: 10.1248/cpb.48.1866

Source DB:  PubMed          Journal:  Chem Pharm Bull (Tokyo)        ISSN: 0009-2363            Impact factor:   1.645


  1 in total

1.  Comments on "prediction of drug solubility in lipid mixtures from the individual ingredients".

Authors:  Abolghasem Jouyban; William E Acree
Journal:  AAPS PharmSciTech       Date:  2013-10-22       Impact factor: 3.246

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.