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Designing efficient zero calibration point for phase-sensitive surface plasmon resonance biosensing.

S Patskovsky¹, M Vallieres, M Maisonneuve

¹Engineering Physics Department, Ecole Polytechnique de Montréal, C. P. 6079, succ. Centre-Ville, Montréal (Québec), Canada, H3C 3A7.

|February 17, 2009

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This study introduces a new polarimetry method for Surface Plasmon Resonance (SPR) biosensing. It simplifies system calibration by finding the optimal zero point for maximal phase sensitivity, improving field and multi-channel applications.

Area of Science:

Optics and Photonics
Biomedical Engineering
Materials Science

Background:

Surface Plasmon Resonance (SPR) biosensing is a label-free technique for detecting biomolecular interactions.
Accurate calibration is crucial for reliable SPR measurements, particularly in complex sensing environments.
Phase-sensitive SPR offers enhanced sensitivity but requires precise calibration.
Current calibration methods can be cumbersome, especially for field or multi-channel applications.

Purpose of the Study:

To develop a novel, simplified polarimetry-based methodology for phase-sensitive SPR biosensing.
To establish an easy method for determining the optimal calibration zero point for maximal phase sensitivity.
To enhance the practicality and applicability of SPR biosensing systems.

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Main Methods:

Utilizing the angular dependence of the phase of light reflected under SPR geometry.
Employing a polarimetry-based approach to analyze the reflected light.
Identifying the specific angular position corresponding to maximal phase sensitivity for calibration.

Main Results:

A straightforward polarimetry method for identifying the optimal SPR calibration zero point was developed.
The methodology effectively determines the point of maximal phase sensitivity.
Demonstrated potential to significantly simplify system calibration in various SPR applications.

Conclusions:

The proposed polarimetry-based methodology offers a practical solution for calibrating phase-sensitive SPR biosensors.
This approach facilitates field and multi-channel SPR sensing by simplifying calibration.
The method contributes to broadening the dynamic range and enabling feedback loop development in SPR systems.