Computational fluid dynamics model for optimal flow injection analysis biosensor design

S. Vermeir; P. Verboven; Y. T. Atalay; B. M. Nicolaï; J. Lammertyn; J. Irudayaraj

doi:10.1109/ICSENS.2005.1597712

Computational fluid dynamics model for optimal flow injection analysis biosensor design

S. Vermeir, P. Verboven, Y. T. Atalay, B. M. Nicolaï, J. Lammertyn, J. Irudayaraj

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents the optimization of a flow injection analysis (FIA) biosensor with respect to its design and operational parameters such as flow cell geometry, microfluidic channel dimensions, and flow rate. Since it is time consuming and costly to investigate the effect of each factor on the biosensor performance by building it, Computational Fluid Dynamics (CFD) theory is presented as a great tool for finding optimal parameter values. This modeling approach has a high potential in the design of high accuracy FIA-biosensors, regardless of the chosen enzyme substrate system. As an example the optimal design for a glucose/glucose oxidase FIA biosensor is calculated with the CFD theory.

Original language	English (US)
Title of host publication	Proceedings of the Fourth IEEE Conference on Sensors 2005
Pages	365-368
Number of pages	4
DOIs	https://doi.org/10.1109/ICSENS.2005.1597712
State	Published - 2005
Externally published	Yes
Event	Fourth IEEE Conference on Sensors 2005 - Irvine, CA, United States Duration: Oct 31 2005 → Nov 3 2005

Publication series

Name	Proceedings of IEEE Sensors
Volume	2005

Other

Other	Fourth IEEE Conference on Sensors 2005
Country/Territory	United States
City	Irvine, CA
Period	10/31/05 → 11/3/05

ASJC Scopus subject areas

Electrical and Electronic Engineering

Online availability

10.1109/ICSENS.2005.1597712

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Vermeir, S, Verboven, P, Atalay, YT, Nicolaï, BM, Lammertyn, J & Irudayaraj, J 2005, Computational fluid dynamics model for optimal flow injection analysis biosensor design. in Proceedings of the Fourth IEEE Conference on Sensors 2005., 1597712, Proceedings of IEEE Sensors, vol. 2005, pp. 365-368, Fourth IEEE Conference on Sensors 2005, Irvine, CA, United States, 10/31/05. https://doi.org/10.1109/ICSENS.2005.1597712

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abstract = "This paper presents the optimization of a flow injection analysis (FIA) biosensor with respect to its design and operational parameters such as flow cell geometry, microfluidic channel dimensions, and flow rate. Since it is time consuming and costly to investigate the effect of each factor on the biosensor performance by building it, Computational Fluid Dynamics (CFD) theory is presented as a great tool for finding optimal parameter values. This modeling approach has a high potential in the design of high accuracy FIA-biosensors, regardless of the chosen enzyme substrate system. As an example the optimal design for a glucose/glucose oxidase FIA biosensor is calculated with the CFD theory.",

author = "S. Vermeir and P. Verboven and Atalay, {Y. T.} and Nicola{\"i}, {B. M.} and J. Lammertyn and J. Irudayaraj",

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language = "English (US)",

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series = "Proceedings of IEEE Sensors",

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AU - Vermeir, S.

AU - Verboven, P.

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AU - Nicolaï, B. M.

AU - Lammertyn, J.

AU - Irudayaraj, J.

PY - 2005

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N2 - This paper presents the optimization of a flow injection analysis (FIA) biosensor with respect to its design and operational parameters such as flow cell geometry, microfluidic channel dimensions, and flow rate. Since it is time consuming and costly to investigate the effect of each factor on the biosensor performance by building it, Computational Fluid Dynamics (CFD) theory is presented as a great tool for finding optimal parameter values. This modeling approach has a high potential in the design of high accuracy FIA-biosensors, regardless of the chosen enzyme substrate system. As an example the optimal design for a glucose/glucose oxidase FIA biosensor is calculated with the CFD theory.

AB - This paper presents the optimization of a flow injection analysis (FIA) biosensor with respect to its design and operational parameters such as flow cell geometry, microfluidic channel dimensions, and flow rate. Since it is time consuming and costly to investigate the effect of each factor on the biosensor performance by building it, Computational Fluid Dynamics (CFD) theory is presented as a great tool for finding optimal parameter values. This modeling approach has a high potential in the design of high accuracy FIA-biosensors, regardless of the chosen enzyme substrate system. As an example the optimal design for a glucose/glucose oxidase FIA biosensor is calculated with the CFD theory.

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Computational fluid dynamics model for optimal flow injection analysis biosensor design

Abstract

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