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A S-parameters-based detection method for a multilayer SPR biosensor.

Md Saiful Islam¹, Abbas Z Kouzani

¹School of Engineering, Deakin University, Geelong, Victoria 3217, Australia. msi@deakin.edu.au

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|February 1, 2013

Summary

This summary is machine-generated.

This study introduces S-parameters analysis for multilayer Surface Plasmon Resonance (SPR) biosensors, enhancing sensitivity by utilizing both magnitude and phase. The research explores the impact of biomolecular layer thickness and graphene layers on SPR biosensor performance.

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Area of Science:

Optoelectronics
Biosensing Technology
Nanotechnology

Background:

Surface Plasmon Resonance (SPR) biosensors are crucial for label-free biomolecular detection.
Traditional SPR analysis often focuses on resonance angle shifts.
Multilayer structures and advanced materials like graphene offer potential for enhanced SPR performance.

Purpose of the Study:

To investigate the application of S-parameters (magnitude and phase) for a variable incidence angle multilayer SPR biosensor.
To enhance the sensitivity of SPR biosensors by incorporating S-parameter analysis.
To understand the correlation between S-parameters, biomolecular layer thickness, and sensor design parameters like the number of graphene layers.

Main Methods:

Utilizing S-parameters analysis, including both magnitude and phase information.
Simulating and analyzing a multilayer SPR biosensor architecture.
Investigating the influence of variable incidence angles on sensor response.
Exploring the impact of varying biomolecular layer thickness and the number of graphene layers.

Main Results:

Demonstrated that S-parameters analysis can be effectively applied to multilayer SPR biosensors.
Showcased improved sensitivity by considering both magnitude and phase of S-parameters.
Established relationships between S-parameters, biomolecular layer thickness, and the number of graphene layers.

Conclusions:

S-parameters analysis represents a novel approach for optimizing multilayer SPR biosensor sensitivity.
The study provides insights into tailoring SPR biosensor design for specific applications.
This work paves the way for more sophisticated SPR biosensor development using advanced parameter analysis.