Mass transfer kinetics and breakthrough and elution curves for bovine serum albumin using cibacron blue cellulose membranes

Wu, Hao; Wang, Junde; Zhang, Xiangmin

doi:10.1016/j.chroma.2006.02.047

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…As suggested by a simple comparison with the physical model, the fitting parameters of the lumped model, namely

k_{a}^{L}

for the Langmuir kinetics and

k_{a}^{i}

for the bi‐Langmuir kinetics, are aimed to account for the combination of axial dispersion and actual binding and unbinding reactions. In particular, because axial dispersion is highly dependent on the flow conditions, the values of the kinetic parameters fitted to the data with the lumped model are inevitably velocity dependent (Chung and Wen, ) as extensively reported by several authors that have used this model (Sportsman and Wilson, ; Hao et al ., ; Puerta et al ., ; Bak et al ., ; van Beijeren et al ., ). For the case under consideration, the expressions for the effective lumped kinetic coefficients,

k_{a}^{L}

and

k_{a}^{i}

, are reported in Table and are also depicted in Figure , which shows, in all cases, linear dependence with flow rate for both Langmuir and bi‐Langmuir kinetic expressions.…”

Section: Resultsmentioning

confidence: 98%

Scale‐up of affinity membrane modules: comparison between lumped and physical models

Dimartino

Boi

Sarti

2015

J of Molecular Recognition

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Membrane chromatography represents one of the emerging technologies for downstream processing in the biotechnology industry. This process is currently used in polishing steps for antibody manufacturing, while its application is still under development for the capture step. To promote its employment in large-scale processes, it is crucial to develop a simple, yet reliable, simulation tool able to describe the process performance in a predictive way at all scales. In this work, the physical model for the description of protein purification with affinity membrane chromatography has been used to predict the performance of scaled-up systems and compared with the lumped model, frequently used for its deceptive simplicity. Two commonly used binding kinetics have been implemented in the models, namely the Langmuir and the bi-Langmuir equations. The two models describe equally well experimental data obtained in a lab-scale apparatus, while, on the contrary, important differences are observed in scaled-up systems even at the early stages of breakthrough, which are particularly relevant in industrial-scale operations. It is seen that for both kinetics, the physical model is more appropriate and safer to use for scale-up purposes.

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“…As suggested by a simple comparison with the physical model, the fitting parameters of the lumped model, namely

k_{a}^{L}

for the Langmuir kinetics and

k_{a}^{i}

k_{a}^{L}

and

k_{a}^{i}

, are reported in Table and are also depicted in Figure , which shows, in all cases, linear dependence with flow rate for both Langmuir and bi‐Langmuir kinetic expressions.…”

Section: Resultsmentioning

confidence: 98%

Scale‐up of affinity membrane modules: comparison between lumped and physical models

Dimartino

Boi

Sarti

2015

J of Molecular Recognition

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“…The transport model ignores the effects of axial dispersion and considers the contributions of mass transfer processes between mobile and stationary phases to band broadening. , This model can be written as ∂ C ∂ t + u ∂ C ∂ Z + C ∂ u ∂ Z + 1 β ∂ q ∂ t = 0 ∂ q ∂ t = k normalf ( K C − q ) C ( 0 , Z ) = 0 , goodbreak0em1em⁣ q ( 0 , Z ) = 0 goodbreak0em1em⁣ for goodbreak0em1em⁣ t = 0 ; .25em 0 ≤ Z ≤ L C ( t , 0 ) = g ( t ) goodbreak0em1em⁣ for goodbreak0em1em⁣ t > 0 ; .25em Z = 0 …”

Section: Theoretical Modelsmentioning

confidence: 99%

Section: Transportmentioning

confidence: 99%

Influence of Pressure Gradient on Column Efficiency in GC Separations

Chen

et al. 2012

Ind. Eng. Chem. Res.

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Pressure gradient along the column in gas chromatography leads to the decompression of the carrier gas and thus varied flow velocity that can be accounted for by the Darcy's law. By solving mathematical models such as the equilibrium dispersive (ED) and the transport models, which account for axial dispersion and mass transfer processes between mobile and stationary phases, respectively, the expressions for retention time and plate height under such nonuniform condition were obtained. As a first approximation, it is assumed that pressure gradient has little affect on the mass transfer coefficients such as axial dispersion coefficient (D) and lumped mass transfer coefficient (k f ). It is found that, by using average flow velocity (u ̅ ) that includes the parameter of inlet−outlet pressure ratio (γ), the expressions obtained from the transport model can be reduced to the mathematical forms of the expressions deduced by assuming uniform flow velocity. By contrast, the expressions obtained from the ED model show some differences. These results indicate the coupling effect between pressure gradient and axial dispersion. In most practical cases, retention time expressions obtained from these models are consistent due to large value of average Peclet number. The plate height accounting for axial dispersion effects will vary from 2D /u ̅ to 2.7D /u ̅ when γ changes from 1 to infinity.

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Elaboration, characterization and study of a novel affinity membrane made from electrospun hybrid chitosan/nylon-6 nanofibers for papain purification

Zhang

et al. 2010

J Mater Sci

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Mass transfer kinetics and breakthrough and elution curves for bovine serum albumin using cibacron blue cellulose membranes

Cited by 6 publications

References 34 publications

Scale‐up of affinity membrane modules: comparison between lumped and physical models

Scale‐up of affinity membrane modules: comparison between lumped and physical models

Influence of Pressure Gradient on Column Efficiency in GC Separations

Elaboration, characterization and study of a novel affinity membrane made from electrospun hybrid chitosan/nylon-6 nanofibers for papain purification

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