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Prediction of Ternary Liquid Adsorption on Solids from Binary Data
1Wilhelm Ostwald Institute of Physical and Theoretical Chemistry, University of Leipzig, Linnéstraße 2, Leipzig, 04103, Germany
Journal of Colloid and Interface Science
|September 14, 2000
Summary
This study investigated the adsorption of alkane mixtures on activated carbon. Binary adsorption data accurately predicted ternary mixture behavior, validating a thermodynamic model.
Area of Science:
- Physical Chemistry
- Materials Science
- Chemical Engineering
Background:
- Adsorption is crucial for separation processes.
- Understanding multicomponent adsorption on activated carbon is vital for industrial applications.
- Activated carbon (TA 95) is a widely used adsorbent.
Purpose of the Study:
- To study the adsorption behavior of ternary and binary mixtures of n-hexane, n-octane, and n-tetradecane on activated carbon.
- To evaluate the predictive capability of binary adsorption data for ternary mixture behavior.
- To validate a thermodynamic model for predicting multicomponent adsorption.
Main Methods:
- Experimental measurement of binary and ternary mixture adsorption isotherms.
- Application of a thermodynamic model combining Myers and Price and Danner methods.
- Comparison of predicted ternary data with experimental measurements.
Main Results:
- Binary adsorption data at 25°C successfully predicted ternary mixture adsorption.
- A prediction of ternary data was proposed using binary data at 15°C, even without direct ternary experimental support.
- The thermodynamic model demonstrated good performance in predicting adsorption behavior.
Conclusions:
- The adsorption of n-hexane/n-octane/n-tetradecane mixtures on activated carbon can be effectively predicted from binary data.
- The employed thermodynamic model is suitable for predicting multicomponent adsorption on activated carbon.
- This predictive capability is valuable for designing and optimizing separation processes.
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