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Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms
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Published on: April 17, 2017

Transient convection, diffusion, and adsorption in surface-based biosensors.

Rasmus Hansen1, Henrik Bruus, Thomas H Callisen

  • 1Department of Chemical and Biochemical Engineering, Technical University of Denmark, DTU Chemical Engineering Building 227, DK-2800 Kongens Lyngby, Denmark. rasmush08@gmail.com

Langmuir : the ACS Journal of Surfaces and Colloids
|April 19, 2012
PubMed
Summary

This study investigates transport dynamics in biosensors, revealing when approximate theories accurately model adsorption. Understanding these conditions improves experimental data analysis for surface-based biosensor development.

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Area of Science:

  • Biomedical Engineering
  • Chemical Engineering
  • Physical Chemistry

Background:

  • Surface-based biosensors rely on accurate modeling of mass transport phenomena like convection, diffusion, and adsorption.
  • Surface Plasmon Resonance (SPR) sensors are a common example where understanding these dynamics is crucial for performance.
  • Existing approximate theories, such as quasi-steady-state approximations, are widely used but their validity requires careful examination.

Purpose of the Study:

  • To theoretically and computationally investigate convection, diffusion, and adsorption in surface-based biosensors.
  • To analyze transport dynamics in a model Surface Plasmon Resonance (SPR) sensor geometry.
  • To determine the reliability and limitations of approximate quasi-steady-state theories for biosensor data analysis.

Main Methods:

  • Developed an analytical solution for convective and diffusive mass transport.
  • Derived an expression for the Damköhler number incorporating Biot and Péclet numbers.
  • Quantified the error of quasi-steady-state assumptions in kinetically and convection-diffusion-limited regimes for irreversible adsorption.

Main Results:

  • Clarified the conditions under which quasi-steady theory is reliable for biosensor applications.
  • Demonstrated that the ratio of inlet concentration to maximum surface capacity critically affects the validity of quasi-steady theory.
  • Showed that the range of validity is altered under convection-diffusion-limited conditions.

Conclusions:

  • The quasi-steady-state theory's applicability in biosensor data fitting is dependent on specific transport regimes and concentration ratios.
  • Provided a tool for correcting experimentally obtained adsorption rate constants in surface-based biosensors.
  • Enhanced understanding of transport dynamics crucial for optimizing biosensor design and data interpretation.