Improved data extraction algorithm for biosensors utilizing surface plasmon resonance sensing

Biosensors based on surface plasmon resonance enable us to detect biochemical compounds by tracking the changes in the reflectivity of a multi-layered system excited with p-polarized light. In this paper, a method to detect the changes on resonance condition is proposed. The method is based on a single sinusoidal approximating function, presents low computational complexity, improved noise immunity, and provides a quite accurate measurement in a single signal processing step. Simulation and experimental results are presented to demonstrate the feasibility of the proposed solution as well as to show its superior noise immunity features when compared to well known resonance detection methods.