Impedimetric biosignal analysis and quantification in a real-time biosensor system

Author

Messing, Dean S. ; Ghindilis, Andrey ; Schwarzkopf, Kevin

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

2730

Lastpage

2734

Abstract

We describe our real-time, label-free, electrochemical impedance biosensor system with an emphasis on the use of an impedance response signal model to quantify assays. The signal processing for estimating model parameters from noisy data and the quantitative verification against target concentration and affinity are also presented.

Keywords

biosensors; electric impedance measurement; electrochemical sensors; parameter estimation; signal processing; electrochemical impedance biosensor system; impedance response signal; impedimetric biosignal analysis; impedimetric biosignal quantification; label free impedance biosensor system; model parameter estimation; real time impedance biosensor system; signal processing; Arrays; Biological system modeling; Biosensors; Impedance; Probes; Signal processing algorithms; Surface impedance; Label-free; affinity biosensor; nonlinear parameter estimation; Algorithms; Biosensing Techniques; Computers; DNA, Single-Stranded; Electric Impedance; Electrochemistry; Electrodes; Equipment Design; Escherichia coli; Kinetics; Nonlinear Dynamics; Signal Processing, Computer-Assisted; Time Factors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626573

Filename

5626573