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Porosity and Absorption of Aggregate01:20

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Related Experiment Video

Updated: May 7, 2026

Monitoring Protein Adsorption with Solid-state Nanopores
08:51

Monitoring Protein Adsorption with Solid-state Nanopores

Published on: December 2, 2011

Simulation of porosity decrease with protein adsorption using the distributed pore model.

Bertrand Coquebert de Neuville1, Helen Thomas, Massimo Morbidelli

  • 1ETH Zurich, Institute for Chemical- and Bioengineering, Wolfgang-Pauli-Strasse 10, CH-8093 Zurich, Switzerland.

Journal of Chromatography. A
|October 1, 2013
PubMed
Summary
This summary is machine-generated.

Chromatographic stationary phase pore size significantly impacts protein separation. A new model accounts for pore shrinkage, improving predictions for protein chromatography. This enhances understanding of mass transfer in chromatography media.

Keywords:
Chromatography modelMass transfer resistancePore shrinkagePore size distributionProtein adsorption

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Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
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Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

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Area of Science:

  • Biochemistry
  • Chemical Engineering
  • Separation Science

Background:

  • Chromatographic stationary phases like Fractogel EMD SO3 (M) exhibit pore sizes similar to proteins.
  • The pore-to-solute size ratio critically influences accessible porosity and mass transfer within particles.

Purpose of the Study:

  • To simulate the effect of pore size distribution on chromatographic behavior using a distributed pore model.
  • To extend the model to incorporate pore shrinkage caused by protein loading.
  • To evaluate the model's reliability in predicting chromatographic performance.

Main Methods:

  • Simulations were performed using the distributed pore model for three Fractogel media: Base Fractogel SO3, Fractogel EMD SO3 (M), and Fractogel SO3 (S).
  • The model was enhanced to include the impact of protein-induced pore shrinkage.
  • Pulse chromatographic experiments were conducted using dextrans of varying sizes on columns pre-loaded with antibodies.

Main Results:

  • The distributed pore model accurately simulated the influence of pore size on chromatographic behavior.
  • The extended model successfully accounted for pore shrinkage effects on protein loading.
  • Experimental validation confirmed the model's reliability in predicting chromatographic performance.

Conclusions:

  • The pore-to-solute size ratio is a crucial factor in chromatography media performance.
  • Accounting for pore shrinkage enhances the predictive power of chromatographic models.
  • This research provides a more accurate method for optimizing protein separation processes.