Improved data extraction algorithm for biosensors utilizing surface plasmon resonance sensing

Author

Pereira, E.G. ; Oliveira, Luis C. ; Morais, Marcos R. A. ; Lima, A.M.N. ; Neff, H.

Author_Institution

Dept. of Electr. Eng., Univ. Fed. de Campina Grande, Campina Grande, Brazil

fYear

2014

fDate

12-15 May 2014

Firstpage

1105

Lastpage

1110

Abstract

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.

Keywords

biochemistry; biology computing; biosensors; computational complexity; feature extraction; multilayers; reflectivity; signal denoising; surface plasmon resonance; biochemical compounds; biosensors; computational complexity; data extraction algorithm; excited multilayered system; noise immunity; p-polarized light; reflectivity; resonance condition; resonance detection methods; single signal processing step measurement; single sinusoidal approximating function; superior noise immunity features; surface plasmon resonance sensing; Biosensors; Diode lasers; Lenses; Monitoring; Noise measurement; biosensors; signal processing; surface plasmon resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International

Conference_Location

Montevideo

Type

conf

DOI

10.1109/I2MTC.2014.6860914

Filename

6860914