DocumentCode
19731
Title
Multiple Surface-Based Biosensors for Enhanced Molecular Detection in Fluid Flow Systems
Author
Abolfath-Beygi, Maryam ; Krishnamurthy, Vikram ; Cornell, Bruce
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Volume
13
Issue
4
fYear
2013
fDate
Apr-13
Firstpage
1265
Lastpage
1273
Abstract
This paper addresses the problem of detecting minute concentrations (nano to pico-molar) of analyte in a fluid flow chamber using an array of surface-based sensors. It is shown that in the mass-transport influenced case, when the rate of transport of analyte is comparable to or smaller than the intrinsic reaction rates at the sensor surface, substantial improvements in the response rate can be obtained from an array of spaced small sensor surfaces relative to a single large surface. Advection-diffusion-reaction models are developed to predict the response of such sensor arrays, which are compared to individual sensor surfaces of the same total area. Formulas are derived for quantifying the improvement in performance and optimal size of the sensors in the array. The results of the model are compared with experimental data obtained for an ion-channel switch biosensor and a surface plasmon resonance biosensor.
Keywords
biodiffusion; biosensors; chemical variables measurement; flow sensors; reaction-diffusion systems; sensor arrays; surface plasmon resonance; advection-diffusion-reaction models; analyte transport; fluid flow chamber system; ion-channel switch biosensor; mass-transport; minute concentration detection; molecular detection enhancement; multiple surface-based biosensor array; surface plasmon resonance biosensor; Analytical models; Biosensors; Chemical sensors; Kinetic theory; Sensor arrays; Advection-diffusion-reaction model; Damkohler number; analyte collection rate; mass-transport influenced regime; péclet number; surface-based biosensors;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2012.2229268
Filename
6415968
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