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Calculation of immersion enthalpy data from adsorption isotherms
Grit Kalies1, Rico Rockmann, Renaud Denoyel
1Wilhelm Ostwald Institute of Physical and Theoretical Chemistry, University of Leipzig, Linnéstr. 2, D-04175 Leipzig, Germany. kalies@rz.uni-leipzig.de
Journal of Colloid and Interface Science
|December 14, 2004
Summary
This study presents thermodynamic equations to calculate immersion data for liquid mixtures on activated carbon. The findings show phenomenological thermodynamics can accurately predict calorimetric data from adsorption isotherms.
Area of Science:
- Physical Chemistry
- Thermodynamics
- Surface Science
Background:
- Understanding the thermodynamic behavior of liquid mixtures adsorbed on solid surfaces is crucial for various applications.
- Excess formalism provides a framework for analyzing adsorption phenomena.
- Calorimetric measurements are essential for validating thermodynamic models.
Purpose of the Study:
- To present thermodynamic equations for calculating binary and ternary immersion data using excess formalism.
- To calculate immersion enthalpies and entropies for specific alkane mixtures on activated carbon.
- To validate the predictive capability of the thermodynamic model against experimental calorimetric data.
Main Methods:
- Derivation of thermodynamic equations for immersion data calculation.
- Analysis of temperature-dependent adsorption isotherms for binary and ternary mixtures.
- Calculation of immersion enthalpies and entropies.
- Comparison of calculated immersion enthalpies with experimentally measured calorimetric data.
Main Results:
- Thermodynamic equations for excess immersion data were successfully formulated.
- Immersion enthalpies and entropies for n-hexane/n-octane/n-tetradecane mixtures on activated carbon were calculated.
- Calculated immersion enthalpies for binary mixtures showed good agreement with calorimetric measurements.
Conclusions:
- Phenomenological thermodynamics provides a reliable method for predicting calorimetric data.
- Adsorption excess isotherms can be effectively used to forecast immersion enthalpies.
- The developed thermodynamic approach is valuable for surface science and physical chemistry studies.