DocumentCode :
3161042
Title :
Detection of target molecules using surface-based biosensor arrays in fluid flows
Author :
Abolfath-Beygi, Maryam ; Krishnamurthy, Vikram
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
3913
Lastpage :
3916
Abstract :
In this paper, the concentration of target molecules in a fluid flow is estimated using an array of biosensors. The concentration evolves according to an advection-diffusion partial differential equation which is coupled with chemical reaction equations on the biosensor surface. An approximate characterization of the system is developed as a system of ordinary differential equations by exploiting the multiple-time scale behaviour of the system and using the divergence theorem. The estimate of target molecules is then obtained by solving a nonlinear least squares problem. An explicit expression for the asymptotic variance of the estimation error is obtained. To demonstrate the accuracy of proposed method, we illustrate our results on a novel biosensor built out of protein molecules.
Keywords :
biosensors; flow sensors; image sensors; least squares approximations; molecule-molecule reactions; molecules; object detection; partial differential equations; proteins; sensor arrays; advection-diffusion partial differential equation; asymptotic variance; chemical reaction equation; divergence theorem; estimation error; fluid flow estimation; multiple-time scale behaviour; nonlinear least square problem; protein molecule; surface-based biosensor array surface; target molecule detection; target molecule estimation; target molecules concentration; Biological system modeling; Biosensors; Equations; Estimation; Least squares approximation; Mathematical model; Advection diffusion partial differential equation; concentration Estimation; least squares method; multi-compartment model; protein-based biosensor array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288773
Filename :
6288773
Link To Document :
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