Breakthrough of lysozyme through an affinity membrane of cellulose‐cibacron blue

Liu, Hsien-Chang; Fried, Joel

doi:10.1002/aic.690400107

Cited by 84 publications

(31 citation statements)

References 18 publications

(13 reference statements)

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“…The protein solution has a concentration czY t with a constant interstitial¯ow velocity v through a membrane column height L (membrane thickness L m ) and void porosity e. The concentration of protein in the solid phase is qzY t. These type of system can be described by a mass balance of solute in the mobile phase, a mass balance of solute in the adsorbent and an interfacial mass transfer rate equation. In the case that both axial and radial diffusion can be neglected, the mass balance for the mobile phase can be written as [7]:…”

Section: Affinity Membrane Column Modelmentioning

confidence: 99%

“…Degradation of membrane performance can be minimized working with axial Peclet number greater than 40, and radial Peclet numbers smaller than 0.04. Stacking more than 30 membranes averages outmembrane porosity and thickness nonuniformities [7]. Under these conditions, the membrane system performance can be predicted using the analytic solution of the Bioprocess Engineering 19 (1998) 115±119 Ó Springer-Verlag 1998…”

Section: Introductionmentioning

confidence: 99%

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Design of affinity membrane chromatographic columns

Tejeda-Mansir

Juvera

Magaña

et al. 1998

Bioprocess Engineering

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A method for af®nity membrane column design, based on the analytical solution of the Thomas model for frontal analysis in membrane column adsorption, was developed. The method permits to ®nd the operating conditions to reach a 93.5% of the column capacity as operating capacity, using a sharpness restriction for the system breakthrough curve.The solution of the model is presented in a graphic form and can be used in a wide range of operational conditions, provided that four design restrictions are ful®lled. The application of the method was illustrated using experimental data and a simple procedure. The implications of the results on the design and optimiztion of af®nity membrane chromatographic columns are discussed. List of symbolsA membrane column cross-sectional area, cm 2 c solute concentration in the bulk phase, M c 0 solute concentration in the bulk phase at column inlet, M c Ã solute concentration in the bulk phase at equilibrium, M I 0 modi®ed zero-order Bessel function of the ®rst kind d p average pore diameter, cm D diffusion coef®cient, cm 2 s À1 F volumetric¯ow-rate, ml min À1 k 1 forward adsorption rate constant, M À1 s À1 k À1 reverse adsorption rate constant, s À1 K d dissociation constant, M L length of membrane column, lm L m membrane thickness, lm n dimensionless number of transfer units for overall process P molecule of protein PS complex between protein and ligand adsorbent q average protein concentration, M q Ã adsorbate concentration at equilibrium, M q m maximum binding capacity of the membrane, based on the solid volume, M r dimensionless separation factor S ligand adsorption site t time, s z axial distance along the membrane column Greek letters vtY L dimensionless solute concentration e void fraction C dimensionless ef¯uent volume s dimensionless time v linear velocity, cm s À1 IntroductionAf®nity membrane chromatography is a novel puri®ca-tion method that exploits the biospeci®c interactions between a protein and a ligand to economically purify proteins present at very low concentrations in complex solutions [1]. Af®nity membranes were developed to overcome the limitations encountered in conventional commercial processes using beads [2±5]. Af®nity membranes operate in convective mode, which can signi®-cantly reduce diffusion limitations commonly encountered in column chromatography. As a result, higher throughput and faster processing times are achieved in membrane systems [6]. Axial and radial diffusion, sorption kinetics, and nonuniformities in membrane porosity and thickness have been shown to affect af®nity membrane performance key factors such as breakthrough curve (BTC) sharpness and residence time. Degradation of membrane performance can be minimized working with axial Peclet number greater than 40, and radial Peclet numbers smaller than 0.04. Stacking more than 30 membranes averages outmembrane porosity and thickness nonuniformities [7]. Under these conditions, the membrane system performance can be predicted using the analytic solution of the

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Section: Affinity Membrane Column Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of affinity membrane chromatographic columns

Tejeda-Mansir

Juvera

Magaña

et al. 1998

Bioprocess Engineering

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show abstract

“…Degradation of membrane performance can be minimized working with axial Peclet numbers greater than 40, and radial Peclet numbers smaller than 0.04. Stacking more than 30 membranes averages out membrane porosity and thickness nonuniformities [11].…”

Section: Introductionmentioning

confidence: 99%

Breakthrough performance of stacks of dye-cellulosic fabric in affinity chromatography of lysozyme

Tejeda-Mansir

Magaña-Plaza

et al. 2003

Bioprocess Biosyst Eng

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The breakthrough performance of stacks of dye-cellulosic fabric in affinity chromatography of lysozyme was investigated in batch and flow experiments. Breakthrough curves were significantly affected by flow rate and were not dependent on the feed solution concentration. System dispersion curves could not explain the flow-rate dependence. Breakthrough curves were analyzed by coupling the kinetic model for pore mass transfer as the only controlling resistance and a system dispersion model. From the analysis, pore film mass transfer resistance was found to be the leading rate-limiting factor when the residence time in the column is greater than 5 min. The model was used to predict the operating and design parameters needed to obtain sharp breakthrough curves. Selectivity studies using lysozyme and bovine serum albumin mixtures showed a high system selectivity for lysozyme.

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“…Die Ionenaustauschliganden sind auf der inneren Oberfläche der Membranporen immobilisiert, wodurch die Bindungsplätze für die Proteine frei zugänglich sind. Konzentrationsgradienten sind in radialer Richtung vernachlässigbar [9]. Abb.…”

Section: Iex Membranadsorberunclassified

“…Durch Bilanzierung der mobilen fluiden Phase wird für die einzelnen Komponenten folgende partielle Differentialgleichung formuliert [9]:…”

Section: Modellierung Der Mobilen Fluiden Phaseunclassified

Optimierung von Proteinaufreinigungsprozessen basierend auf einem generischen Prozessmodell

Frerick

Kreis

Górak

2008

Chemie Ingenieur Technik

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Breakthrough of lysozyme through an affinity membrane of cellulose‐cibacron blue

Cited by 84 publications

References 18 publications

Design of affinity membrane chromatographic columns

Design of affinity membrane chromatographic columns

Breakthrough performance of stacks of dye-cellulosic fabric in affinity chromatography of lysozyme

Optimierung von Proteinaufreinigungsprozessen basierend auf einem generischen Prozessmodell

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