Prediction of band profiles in displacement chromatography by numerical integration of a semi-ideal model

Katti, Anita M.; Guiochon, Georges

doi:10.1016/s0021-9673(00)94365-6

Cited by 60 publications

(19 citation statements)

References 34 publications

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“…An alternative approach which can be used to describe the adsorption phenomena of a multicomponent system is to assume that there is total competition between target protein and other components in the mixture for adsorption to all the accessible sites of the immobilized ligand. The extension of the Langmuir equation proposed by various investigators [Huang and Horvath, 1987a,b; Katti and Guiochon, 1988; Jacobson et al, 1990; Katti et al, 1990; Ruzgas et al, 1990; Beelaram and Sadana, 1994; Srivastava and Tyagi, 1995; Mao and Hearn, 1996; Hortacsu and McCoy, 1996; Hossain and Do, 1996b] for the adsorption of two component mixtures can be expressed as where the various terms are defined above and refer to adsorbates 1 and 2, respectively. The generalized expression of this model for the adsorption of the various components within a multicomponent mixture takes the following form where the terms a = bq m and b = K a are defined above and the subscripts i and j refer to the adsorbates i and j , respectively.…”

Section: Resultsmentioning

confidence: 99%

“…From a strictly physical perspective, this competitive Langmuir model is better suited to describing the adsorption of enantiomeric mixtures [Jacobson et al, 1990] rather than the adsorption of substances with widely different molecular and compositional properties. Nevertheless, the competitive Langmuir model remains one of the most commonly employed in the literature [Katti and Guiochon, 1988, 1990; Phillips et al, 1988] on the adsorption behavior of low molecular weight, biologically active substances and has as a consequence been examined in the present investigation as part of the comparative assessment of the binding behavior of α 1 ‐PI in the presence of different concentrations of HSA.…”

Section: Resultsmentioning

confidence: 99%

“…The extension of the Langmuir equation proposed by various investigators[Huang and Horvath, 1987a,b;Katti and Guiochon, 1988; Jacobson et al, 1990;Ruzgas et al, 1990;Beelaram and Sadana, 1994;Srivastava and Tyagi, 1995; …”

mentioning

confidence: 99%

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Adsorption Behavior of Multicomponent Protein Mixtures Containing α1-Proteinase Inhibitor with the Anion Exchanger, 2-(Diethylamino)ethyl-Spherodex

et al. 1997

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The equilibrium binding behavior of alpha 1-proteinase inhibitor (alpha 1-PI) in the presence of human serum albumin (HSA) has been determined in packed bed systems with the anion exchanger, 2-(diethylamino)ethyl (DEAE)-Spherodex. Experimental data derived for the individual proteins were compared with the corresponding data obtained from batch adsorption studies as well as studies in which mixtures of these two proteins were loaded at different concentration ratios onto columns of the same anion exchange adsorbent. The results confirm that alpha 1-PI has a greater affinity for the anion exchanger, although competitive adsorption was observed as the inlet concentration of HSA was increased. Under these conditions, decreased binding capacities and lower dynamic adsorption rates were observed for alpha 1-PI with the DEAE-Spherodex anion exchange adsorbent. The results are discussed in terms of the influence which various contaminants that occur in multicomponent mixtures of proteins from human plasma can have on the equilibrium binding characteristics of a target protein with weak or strong ion exchange adsorbents under conditions approaching concentration overload in preparative chromatographic systems. These investigations have also addressed, as the first part of an iterative approach for the simulation of the adsorption behavior of multicomponent mixtures of human plasma proteins with ion exchange and affinity chromatographic adsorbents, the ability of noncompetitive and competitive Langmuirean models to simulate the adsorption of alpha 1-PI in the presence of different concentrations of HSA to DEAE-Spherodex.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Adsorption Behavior of Multicomponent Protein Mixtures Containing α1-Proteinase Inhibitor with the Anion Exchanger, 2-(Diethylamino)ethyl-Spherodex

et al. 1997

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“…The replacement of the multicomponent parameter (q m ) with the individual component terms (q m1 and q m2 ) assumes equivalent static capacities (q m = q m1 = q m2 ) [40][41][42]. Although the individual component capacities are potentially different, this approximation has been used frequently and successfully in the past to describe multicomponent adsorption processes [43][44][45].…”

Section: Determination Of the Equilibrium Adsorption Isothermmentioning

confidence: 99%

“…12, 13 reduce to the expressions used by several authors to describe reversible binary adsorption [43][44][45] (Eqs. 14, 15):…”

Section: Determination Of the Equilibrium Adsorption Isothermmentioning

confidence: 99%

Modeling of protein monomer/aggregate purification and separation using hydrophobic interaction chromatography

McCue

Engel

et al. 2008

Bioprocess Biosyst Eng

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Hydrophobic interaction chromatography (HIC) is commonly used to separate protein monomer and aggregate species in the purification of protein therapeutics. Despite being used frequently, the HIC separation mechanism is quite complex and not well understood. In this paper, we examined the separation of a monomer and aggregate protein mixture using Phenyl Sepharose FF. The mechanisms of protein adsorption, desorption, and diffusion of the two species were evaluated using several experimental approaches to determine which processes controlled the separation. A chromatography model, which used homogeneous diffusion (to describe mass transfer) and a competitive Langmuir binary isotherm (to describe protein adsorption and desorption), was formulated and used to predict the separation of the monomer and aggregate species. The experimental studies showed a fraction of the aggregate species bound irreversibly to the adsorbent, which was a major factor governing the separation of the species. The model predictions showed inclusion of irreversible binding in the adsorption mechanism greatly improved the model predictions over a range of operating conditions. The model successfully predicted the separation performance of the adsorbent with the examined feed.

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Displacement Chromatography: Application to Downstream Processing in Biotechnology

Freitag¹

1998

Bioseparation and Bioprocessing

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Prediction of band profiles in displacement chromatography by numerical integration of a semi-ideal model

Cited by 60 publications

References 34 publications

Adsorption Behavior of Multicomponent Protein Mixtures Containing α1-Proteinase Inhibitor with the Anion Exchanger, 2-(Diethylamino)ethyl-Spherodex

Adsorption Behavior of Multicomponent Protein Mixtures Containing α1-Proteinase Inhibitor with the Anion Exchanger, 2-(Diethylamino)ethyl-Spherodex

Modeling of protein monomer/aggregate purification and separation using hydrophobic interaction chromatography

Displacement Chromatography: Application to Downstream Processing in Biotechnology

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