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Related Experiment Videos

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

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

  • 1Drug Design Group, School of Pharnmacy, University of Bradford, UK. ghasem@pharm.usyd.edu.au

Chemical & Pharmaceutical Bulletin
|January 6, 2001
PubMed
Summary
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Predicting solute solubility in ternary solvent mixtures using cosolvency models showed high accuracy, with average deviations below 2%. This research aids in understanding solubility in complex non-aqueous systems.

Area of Science:

  • Physical Chemistry
  • Chemical Engineering
  • Thermodynamics

Background:

  • Solubility prediction in multi-component solvent systems is crucial for chemical processes.
  • Existing cosolvency models require validation for complex non-aqueous ternary mixtures.
  • Accurate solubility data is essential for formulation development and process optimization.

Purpose of the Study:

  • To evaluate the predictive capability of extended cosolvency models for solute solubility in ternary solvent mixtures.
  • To compare the accuracy of the combined nearly ideal binary solvent/Redlich-Kister equation and the modified Wilson model.
  • To assess other common models like the extended Hildebrand solubility approach and mixture response surface method.

Main Methods:

  • Utilizing measured anthracene solubilities in binary solvent mixtures as a basis for prediction.

Related Experiment Videos

  • Applying extended forms of the combined nearly ideal binary solvent/Redlich-Kister equation and the modified Wilson model.
  • Comparing predictions with experimental data and other established solubility models for ternary mixtures.

    • Main Results:

    • The extended cosolvency models accurately predicted anthracene solubility in ternary mixtures, with average percent deviations below 2%.
    • All evaluated models, including the extended Hildebrand and mixture response surface methods, demonstrated comparable accuracy.
    • The study confirmed the reliability of these models for predicting solubility in non-aqueous ternary solvent systems.

    Conclusions:

    • Extended cosolvency models provide highly accurate predictions of solute solubility in ternary solvent mixtures.
    • The combined nearly ideal binary solvent/Redlich-Kister and modified Wilson models are effective for such predictions.
    • The findings support the use of these models for optimizing solubility in complex solvent systems.