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Modeling spreading-pressure-dependent binary gas coadsorption equilibria using gravimetric data
1Laboratoire des Sciences du Génie Chimique-CNRS, ENSIC-INPL, 1 rue Grandville, 54000 Nancy, France. tondeur@ensic.inpl-nancy.fr
Journal of Colloid and Interface Science
|August 10, 2005
Summary
This study presents a new method for creating nonideal coadsorption models using gravimetric data. The approach ensures thermodynamic consistency and accurately predicts gas mixture adsorption behavior.
Area of Science:
- Physical Chemistry
- Adsorption Science
- Thermodynamics
Background:
- Developing accurate nonideal coadsorption models is crucial for understanding gas mixture behavior on surfaces.
- Existing models often lack thermodynamic consistency or require extensive experimental data.
- Gravimetric measurements offer a direct way to quantify adsorbed amounts.
Purpose of the Study:
- To develop a thermodynamically consistent approach for building nonideal coadsorption models.
- To determine model parameters from limited, simple gravimetric measurements.
- To incorporate the effects of pressure and spreading pressure into coadsorption models.
Main Methods:
- Utilizing nonideal adsorbed solution theory with activity coefficients dependent on spreading pressure.
- Employing an original form of the excess Gibbs energy of mixing.
- Developing an analytical framework to relate model parameters to experimental data, including single-component isotherms and binary gravimetric curves at different pressures.
Main Results:
- A quasi-analytical and unique method for determining the four parameters of the coadsorption model.
- Demonstrated applicability using the coadsorption of carbon dioxide (CO2) and methane (CH4) on activated carbon.
- Validation using both incremental gravimetry and batch-type equilibration measurements.
Conclusions:
- The proposed method provides a robust and efficient way to build nonideal coadsorption models.
- Thermodynamic consistency is achieved by integrating activity coefficients and excess Gibbs energy.
- The method requires only total adsorbed mass data, simplifying experimental requirements.