Optimization of microfluidic biosensor efficiency by means of fluid flow engineering

Abstract Binding reaction kinetics of analyte-ligand at the level of a sensitive membrane into a microchannel of a biosensor has been limited by the formation of the boundary diffusion layer. Therefore, the response time increases and affects the overall performance of a biosensor. In the present wo...

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Main Authors: Marwa Selmi, Mohamed Hichem Gazzah, Hafedh Belmabrouk
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-06204-0
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spelling doaj-962349a8448f4a43b18c530fd2b4875e2020-12-08T01:09:39ZengNature Publishing GroupScientific Reports2045-23222017-07-017111110.1038/s41598-017-06204-0Optimization of microfluidic biosensor efficiency by means of fluid flow engineeringMarwa Selmi0Mohamed Hichem Gazzah1Hafedh Belmabrouk2Laboratory of Electronics and Microelectronics, Faculty of Science of Monastir, University of MonastirLaboratory of Electronics and Microelectronics, Faculty of Science of Monastir, University of MonastirLaboratory of Electronics and Microelectronics, Faculty of Science of Monastir, University of MonastirAbstract Binding reaction kinetics of analyte-ligand at the level of a sensitive membrane into a microchannel of a biosensor has been limited by the formation of the boundary diffusion layer. Therefore, the response time increases and affects the overall performance of a biosensor. In the present work, we develop an approach to engineer fluid streams into a complex configuration in order to improve the binding efficiency. We investigate numerically the flow deformations around a parallelepiped with square cross-section inside the microfluidic channel and exploit these deformations to simulate the analyte transport to the sensitive membrane and enhance both association and dissociation processes. The effect of several parameters on the binding reaction is provided such as: the obstacle location from the inlet of the microchannel, the average flow velocity, and the inlet analyte concentration. The optimal position of the obstacle is determined. An appropriate choice of the inlet flow velocity and inlet analyte concentration may reduce significantly the response time.https://doi.org/10.1038/s41598-017-06204-0
collection DOAJ
language English
format Article
sources DOAJ
author Marwa Selmi
Mohamed Hichem Gazzah
Hafedh Belmabrouk
spellingShingle Marwa Selmi
Mohamed Hichem Gazzah
Hafedh Belmabrouk
Optimization of microfluidic biosensor efficiency by means of fluid flow engineering
Scientific Reports
author_facet Marwa Selmi
Mohamed Hichem Gazzah
Hafedh Belmabrouk
author_sort Marwa Selmi
title Optimization of microfluidic biosensor efficiency by means of fluid flow engineering
title_short Optimization of microfluidic biosensor efficiency by means of fluid flow engineering
title_full Optimization of microfluidic biosensor efficiency by means of fluid flow engineering
title_fullStr Optimization of microfluidic biosensor efficiency by means of fluid flow engineering
title_full_unstemmed Optimization of microfluidic biosensor efficiency by means of fluid flow engineering
title_sort optimization of microfluidic biosensor efficiency by means of fluid flow engineering
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-07-01
description Abstract Binding reaction kinetics of analyte-ligand at the level of a sensitive membrane into a microchannel of a biosensor has been limited by the formation of the boundary diffusion layer. Therefore, the response time increases and affects the overall performance of a biosensor. In the present work, we develop an approach to engineer fluid streams into a complex configuration in order to improve the binding efficiency. We investigate numerically the flow deformations around a parallelepiped with square cross-section inside the microfluidic channel and exploit these deformations to simulate the analyte transport to the sensitive membrane and enhance both association and dissociation processes. The effect of several parameters on the binding reaction is provided such as: the obstacle location from the inlet of the microchannel, the average flow velocity, and the inlet analyte concentration. The optimal position of the obstacle is determined. An appropriate choice of the inlet flow velocity and inlet analyte concentration may reduce significantly the response time.
url https://doi.org/10.1038/s41598-017-06204-0
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AT mohamedhichemgazzah optimizationofmicrofluidicbiosensorefficiencybymeansoffluidflowengineering
AT hafedhbelmabrouk optimizationofmicrofluidicbiosensorefficiencybymeansoffluidflowengineering
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