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Estimation of analyte concentration by surface plasmon resonance-based biosensing using parameter identification

Massinissa Si Mehand1, Bala Srinivasan, Gregory De Crescenzo

  • 1Department of Chemical Engineering, École Polytechnique de Montréal, Montréal, Québec, Canada H3C 3A7.

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|September 28, 2011
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Summary

This study demonstrates how knowing kinetic parameters can reduce the number of injections needed for surface plasmon resonance (SPR) biosensors. This optimization saves time and maintains accuracy in macromolecule concentration determination.

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Biophysics

Background:

  • Surface plasmon resonance (SPR) biosensors are crucial for determining macromolecule concentrations.
  • Current methods often require extensive data points or multiple sample injections, increasing experimental time.

Purpose of the Study:

  • To investigate if prior knowledge of kinetic parameters can optimize SPR biosensor experiments.
  • To reduce the number of injections and experimental duration for accurate concentration determination.

Main Methods:

  • Utilized kinetic parameters of molecular interactions in SPR sensorgrams.
  • Evaluated the impact of this prior knowledge on established SPR quantification methods.

Main Results:

  • Prior knowledge of kinetic parameters significantly reduces the number of required sensorgram data points.
  • Fewer sample injections are needed without compromising the accuracy of macromolecule concentration measurements.

Conclusions:

  • Incorporating kinetic parameter knowledge offers a more efficient approach to SPR biosensing.
  • This strategy enhances experimental throughput for macromolecule concentration analysis.