A mathematical analysis of affinity membrane bioseparations

Suen, Shing‐Yi; Etzel, Mark R.

doi:10.1016/0009-2509(92)80281-g

Cited by 169 publications

(113 citation statements)

References 11 publications

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“…The solute concentration profiles are evaluated with respect to time, i.e., in form of a breakthrough curve. The base case parameter values used in the simulation [9] are listed in Tab. 1 and are used throughout unless stated otherwise.…”

Section: Resultsmentioning

confidence: 99%

“…These will result in high-volume throughout, high efficiency of ligand utilization, and low cost. Affinity membranes are a new alternative to packed beds, and have the unique advantage that the separation rate frequently approaches the fundamental rate limit set by the kinetics of ligand solute association and dissociation [9]. This is not true in packed beds, where the separation rate is limited by either slow intrabead diffusion for large beads or low axial velocities and high column pressure drops for small beads [lo].…”

Section: Introductionmentioning

confidence: 99%

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Design of affinity membrane bioseparations

Sridhar

1996

Chem Eng & Technol

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Affinity separations rely on the highly specific binding between a protein in solution and an immobilized ligand to achieve a high degree of protein purification. A mathematical model including convection, diffusion, and rate kinetics is formulated to analyze the design and operation of affinity membrane bioseparations. The model equations are solved by orthogonal collocation method. Danckwerts' boundary conditions are used. The results obtained from model simulation show that the breakthrough of the protein is significantly influenced by Peclet number, feed protein concentration, Ligand number, Damkohler number, membrane thickness, and flow rate. Breakthrough profiles are quantitatively discussed in terms of protein recovery efficiency, ligand utilization efficiency, thickness of unused membrane, and width of the mass transfer zone.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of affinity membrane bioseparations

Sridhar

1996

Chem Eng & Technol

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“…Because the value was much lower than 40, the effect of axial dispersion may not be ignored just as that usually taken in the study of column chromatography. [7,14] The reason for it may be due to the small thickness of affinity membranes and large area of membranes, which will make it difficult to homogenously distribute feed solution onto affinity membranes. Because in practice, the thickness of affinity membranes is always kept small so as to low down the backpressure, the design of the module to homogenously distribute the feed solution then turns to be of much importance to reduce the undesired axial dispersion.…”

Section: Influence Of Axial Dispersionmentioning

confidence: 99%

Modeling of Protein Adsorption in Membrane Affinity Chromatography

Chen

Wang

et al. 2004

Analytical Letters

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For the design of affinity membranes protein adsorption in membrane affinity chromatography (MAC) was studied by frontal analysis. According to fast mass transfer, small thickness of affinity membranes and high affinity between the protein and the ligand, an ideal adsorption (IA) model was proposed for MAC and was used together with equilibriumdispersive (E-D) model to describe the adsorption of bovine serum albumin (BSA) onto cellulose diacetate/polyethyleneimine (CA/PEI) blend membranes with and without Cu 2þ chelating. E-D model was found to better describe the initial region of experimental breakthrough curves. The influence of axial dispersion was revealed and it showed the importance of design of the module to homogenously distribute feed solution. IA model was found to be better for the whole experimental breakthrough Vol. 37, No. 7, pp. 1319-1338, 2004 ORDER REPRINTS curve. According to it, the capacity of affinity membranes and the specificity of the interaction are of equal importance for the design of affinity membranes. An optimum feed concentration was also found in the operation of MAC. The discrepancy between experimental optimum feed concentrations and predicted ones from IA model may be due to the ignorance of some experimental effects such as axial dispersion. ANALYTICAL LETTERS

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“…Recently, the affinity membrane has emerged as an alternative to column chromatography overcoming all the above said limitations [1,5,6]. The affinity membrane has provided some advantages over column chromatography such as higher flow rates, lower pressure drops, rapid binding and higher efficiency [7,8]. Actually, two approaches have been employed to prepare such affinity membranes.…”

Section: Introductionmentioning

confidence: 99%

A Short Review on Chitosan Membrane for Biomolecules Immobilization

JF¹

2015

J Mol Genet Med

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Chitosan is an important natural polymer that occurs in the world. Chitosan is soluble in acidic aqueous media and it can be obtained in various forms. It is widely used for many applications. Hence, we briefly describe the role of chitosan in membrane form, an important area of research in which a variety of synthetic methods has been proposed and their significance is explained. Thus, this review emphasizes the papers on the high value-added applications of these chitosan membranes in diverse fields such as medicine, biological, cosmetics and nanotechnology.

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A mathematical analysis of affinity membrane bioseparations

Cited by 169 publications

References 11 publications

Design of affinity membrane bioseparations

Design of affinity membrane bioseparations

Modeling of Protein Adsorption in Membrane Affinity Chromatography

A Short Review on Chitosan Membrane for Biomolecules Immobilization

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