Nonlinear frequency response functions of a chromatographic column : A critical 
evaluation of their potential for estimation of single solute adsorption 
isotherms

Ilic, M.; Petkovska, M.; Seidel-Morgenstern, A.

doi:10.1016/j.ces.2006.11.019

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Nonlinear frequency response functions of a chromatographic column : A critical evaluation of their potential for estimation of single solute adsorption isotherms

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Ilic, M.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Seidel-Morgenstern, A.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Citation

Ilic, M., Petkovska, M., & Seidel-Morgenstern, A. (2007). Nonlinear frequency response functions of a chromatographic column: A critical evaluation of their potential for estimation of single solute adsorption isotherms. Chemical Engineering Science, 62(5), 1269-1281. doi:10.1016/j.ces.2006.11.019.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-983F-D

Abstract

Nonlinear frequency response analysis is applied to study single component adsorption in chromatographic columns. Single component adsorption isotherms can be estimated from local derivatives of the adsorption isotherm at specified steady-state concentrations, which are obtained from the low frequency asymptotic behaviour of the higher order frequency response functions (FRFs) of a chromatographic column. The functions relevant for the estimation of adsorption isotherms are the phases and the first derivatives of these FRFs. These functions (up to the third order) are analyzed for different types of adsorption isotherm models, different isotherm parameters, steady-state concentrations and numbers of theoretical plates of the chromatographic column. Based on this analysis, some unified characteristics of these functions are observed, which can be used for critical evaluation of the method and to design efficient experimental procedures for its application. Advantages and limitations of this method are discussed. Copyright © 2013 Elsevier B.V. [accessed 2013 November 26th]