Modelling and simulation of affinity membrane adsorption

Boi, Cristiana; Dimartino, Simone; Sarti, Giulio Cesare

doi:10.1016/j.chroma.2007.02.008

Cited by 73 publications

(55 citation statements)

References 23 publications

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“…However, this setup could systematically not explain specific features of chromatograms measured by the current authors with different porous membrane adsorbers [7,25,26]. Similar findings have also been reported elsewhere in the literature [14,27].…”

Section: Introductionsupporting

confidence: 88%

“…In many studies, attempts have been made to quantitatively model different adsorption mechanisms [12], different binding isotherms [14,24] and the entire membrane chromatographic process, i.e., the mass transfer coupled with binding kinetics [11,13]. In these approaches, dead volumes in membrane chromatography systems are traditionally modeled by one plug flow reactor (PFR) and one continuous stirred tank reactor (CSTR) in series [10,11], or by lumping the overall peak broadening and tailing effects into a fixed volume of a mixing cell [15].…”

Section: Introductionmentioning

confidence: 99%

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Model Based Quantification of Internal Flow Distributions from Breakthrough Curves of Flat Sheet Membrane Chromatography Modules

2010

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A novel model for quantifying radial flow distributions in flat sheet membrane chromatography modules under non-binding conditions is presented and applied for the practical analysis of two modules. The proposed model partitions the total void volume of the chromatography module into zones that are considered homogeneous with respect to flow velocity. The corresponding solute concentrations are time variant, but also spatially homogeneous within each zone. The model is mathematically represented and analytically solved as a network of continuously stirred tank reactors (CSTR). An additional plug flow reactor (PFR) is connected in series with the CSTR network in order to account for a time-lag that is not associated with the system dispersion. The capability of the model to describe experimental breakthrough data is compared to the frequently applied standard model for extra-membrane system dispersion, which consists of a single CSTR in series with a PFR. Non-binding conditions are deliberately chosen for studying the impact of module geometries on breakthrough curves separately from chromatographic membrane performance. The commercial CIM module and a custom designed cell (Scell) are studied with acetone and lysozyme as test tracers at varied flow rates and for various membrane pore sizes under non-binding conditions. In all studied cases, the proposed model fits the measured breakthrough curves better than the standard model. Moreover, the minimal number of radial flow zones that are required to accurately describe observed breakthrough curves and the estimated flow fractions through these zones provide valuable information for the analysis and optimization of internal module designs.

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Section: Introductionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Model Based Quantification of Internal Flow Distributions from Breakthrough Curves of Flat Sheet Membrane Chromatography Modules

2010

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“…Such effects can be globally described by using a single PFR and a single CSTR in series, as shown in Refs. [24] and [31]. The same dispersion effects are present also when the membrane module is in place: in such a case, plain conformity to the system configuration would require to consider separately the system elements before and after the membrane module, which cannot be experimentally inspected individually without adding extra volumes.…”

Section: Theoretical Modelmentioning

confidence: 89%

“…This heterogeneous binding kinetics is similar to the one used by Wang and Carbonell for staphylococcal enterotoxin B adsorption onto a bio-mimetic affinity resin [23] and by Boi et al for IgG adsorption on mimetic A2P affinity membranes [24]. The above binding kinetics is used in the general simulation model for membrane chromatography which has been described in detail in a recent work [25], obtaining simulations suitable to describe the entire chromatographic cycle, including the behavior observed in breakthrough curves close to saturation.…”

Section: Introductionmentioning

confidence: 91%

Influence of protein adsorption kinetics on breakthrough broadening in membrane affinity chromatography

Dimartino¹,

Boi²,

Sarti³

2011

Journal of Chromatography A

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“…Among them, affinity chromatography is the preferred choice for the primary capture step. This purification method is based on the specific interaction between the biomolecule of interest and a ligand immobilized on a solid support [2].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Frontal Protein Affinity Chromatography Using MATLAB

Guerrero-Germán

Montesinos-Cisneros²,

Tejeda-Mansir³

2012

J Chem Eng Process Technol

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In this study a transport model that includes axial dispersion in the bulk liquid, pore diffusion, external film resistance and finite kinetic rate, was used to mathematically describe a frontal affinity chromatography system. The corresponding differential equations system was solved in a simple and accurate form by using the numerical method of lines implemented in MATLAB. The solution was compared with experimental data from literature and the analytic Thomas solution. The frontal affinity chromatography of lysozyme to Cibacron Blue Sepharose was used as a model system. A good fit to the experimental data was obtained with the simulated runs of the transport model using this methodology. This approach was used to perform a parametric analysis of the experimental frontal affinity system. The solution of the transport model results in simple way to predict frontal affinity performance as well a better understanding of the fundamental mechanisms responsible for the separation.

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Modelling and simulation of affinity membrane adsorption

Cited by 73 publications

References 23 publications

Model Based Quantification of Internal Flow Distributions from Breakthrough Curves of Flat Sheet Membrane Chromatography Modules

Model Based Quantification of Internal Flow Distributions from Breakthrough Curves of Flat Sheet Membrane Chromatography Modules

Influence of protein adsorption kinetics on breakthrough broadening in membrane affinity chromatography

Simulation of Frontal Protein Affinity Chromatography Using MATLAB

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