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Abstract:
In this contribution we extend the application of single component discrete adsorption isotherm data introduced in [1] to predict competitive adsorption isotherms using Ideal Adsorbed Solution Theory (IAST) [2,3].
An efficient solution approach to solve the IAST equations introduced recently [4] enables a direct use of discrete data isotherms generated from measured adsorption equilibrium points for single compounds, while providing insight on necessary strategies to extrapolate single component adsorption equilibria beyond measured concentration ranges.
A detailed analysis of the resulting errors in the multicomponent adsorption equilibrium prediction for simple artificial data generated with the Langmuir isotherm equation, using two simple extrapolation strategies to extend the single component
adsorption equilibrium, is presented. The potential application of the concepts
introduced above to predict dynamic breakthrough curves in fixed-bed adsorbers
(e.g., chromatographic columns) for multicomponent systems is also discussed.
[1] Haghpanah R, Rajendran A, Farooq S, Karimi IA, Amanullah M. Discrete Equilibrium Data from Dynamic Column
Breakthrough Experiments. Ind Eng Chem Res. 2012;51:14834-14844.
[2] Myers AL, Prausnitz JM. Thermodynamics of mixed-gas adsorption. AIChE J. 1965;11:121-127.
[3] Radke CJ, Prausnitz JM. Thermodynamics of multi-solute adsorption from dilute liquid solutions. AIChE J.
1972;18:761-768.
[4] Rubiera Landa HO, Flockerzi D, Seidel-Morgenstern A. A Method for Efficiently Solving the IAST Equations with an
Application to Adsorber Dynamics. AIChE J. 2013;59(4):1263-1277.