Enhancement of the Analyte Mass Transport in a Microfluidic Biosensor by Deformation of Fluid Flow and Electrothermal Force

Selmi, Marwa; Khemiri, Randa; Echouchene, Fraj; Belmabrouk, Hafedh

doi:10.1115/1.4033484

Cited by 18 publications

(15 citation statements)

References 37 publications

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“…The geometric parameters of two biosensor models are given in Tables 1 and 2, respectively. Based on our previous studies [18][19][20][21][22] and literature studies [23], it appears that the formation of the diffusion boundary layer is closely related to the length of the reaction surface and the position of the electrodes. For this reason, the above configurations are proposed in order to improve the microfluidic biosensor response and reduce the diffusion boundary layer.…”

Section: Biosensor Designmentioning

confidence: 90%

“…In our previous studies, we proposed two methods to improve the reaction rate: one based on inserting a cylindrical obstacle within the microchannel near to the reaction surface and the other based on flow confinement [18][19][20]. These studies are compared to the electrothermal flow and show its efficiencies.…”

Section: Biosensor Designmentioning

confidence: 99%

“…Several methods have been tested to improve the phenomenon of transport of the analytes to the reaction surface such as microfluidic confinement [13], and electrothermal effect [14][15][16][17]. In our previous studies, we proposed two methods to improve the reaction rate: one based on inserting a cylindrical obstacle within the microchannel near to the reaction surface and the other based on flow confinement [18][19][20]. These studies are compared to the electrothermal flow and show its efficiencies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhancement of Heterogeneous Microfluidic Immunosensors Using New Sensing Area Shape with Electrothermal Effect

2021

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In heterogeneous microfluidic immunosensors, the diffusion boundary layer produced on the sensing area represents a critical factor that limits the biosensor performance. A three-dimensional simulation using the finite element method on the binding reaction kinetics of C-reactive protein (CRP) has been performed. We present a new microfluidic biosensor based on a novel reaction-surface design without and with electrothermal force. Two reaction surface configurations were studied. The kinetic reaction rate was calculated with coupled Navier−Stokes, mass diffusion, energy, and Laplace equations. The numerical results reveal that the characteristics of a microfluidic biosensor are more enhanced by using the circular ring design of the sensing area coupled with the electrothermal force. The rate of initial slope related to the association phase is multiplied by a factor 2 when the voltage is increased from 10 to 15 V. The results prove to be valuable in designing new microfluidic biosensors.

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Section: Biosensor Designmentioning

confidence: 90%

Section: Biosensor Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Enhancement of Heterogeneous Microfluidic Immunosensors Using New Sensing Area Shape with Electrothermal Effect

2021

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“…The two electrodes produce an AC electric field which creates the electrothermal force per unit volume

[ 9 , 10 , 37 ]. Its expression is derived using a linear perturbation method:

α and β represent the expansion coefficients of the fluid permittivity ε and the electrical conductivity σ, respectively.…”

Section: Physical Modelmentioning

confidence: 99%

“…AC electrothermal flow has been tremendously well-used for biological applications in low voltages and at higher frequencies, i.e., improvement in quality and performance of heterogeneous immuno-sensors in microfluidic systems [ 5 ], DNA hybridization [ 1 ], and on-chip mixing of fluids [ 8 ]. In previous studies, we used the ACET flow combined with obstacles inside the microchannel in order to improve the binding efficiency of an immunoassay for a biosensor [ 9 , 10 ]. The effect of the slip velocity was ignored.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Slip Velocity Effect in an AC Electrothermal Micropump

2020

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The principal aim of this study was to analyze the effect of slip velocity at the microchannel wall on an alternating current electrothermal (ACET) flow micropump fitted with several pairs of electrodes. Using the finite element method (FEM), the coupled momentum, energy, and Poisson equations with and without slip boundary conditions have been solved to compute the velocity, temperature, and electrical field in the microchannel. The effects of the frequency and the voltage, and the electrical and thermal conductivities, respectively, of the electrolyte solution and the substrate material, have been minutely analyzed in the presence and absence of slip velocity. The slip velocity was simulated along the microchannel walls at different values of slip length. The results revealed that the slip velocity at the wall channel has a significant impact on the flow field. The existence of slip velocity at the wall increases the shear stress and therefore enhances the pumping efficiency. It was observed that higher average pumping velocity was achieved for larger slip length. When a glass substrate was used, the effect of the presence of the slip velocity was more manifest. This study shows also that the effect of slip velocity on the flow field is very important and must be taken into consideration in an ACET micropump.

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Numerical optimization of microfluidic biosensor detection time for the SARS-CoV-2 using the Taguchi method

et al. 2023

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The performance of microfluidic biosensor of the SARS-Cov-2 was numerically analyzed through finite element method. The calculation results have been validated with comparison with experimental data reported in the literature. The novelty of this study is the use of the Taguchi method in the optimization analysis, and an L8(2 5 ) orthogonal table of five critical parameters-Reynolds number (Re), Damko ¨hler number (Da), relative adsorption capacity (r), equilibrium dissociation constant (K D ), and Schmidt number (Sc), with two levels was designed. ANOVA methods are used to obtain the significance of key parameters. The optimal combination of the key parameters is Re = 10 -2 , Da = 1000, r = 0.2, K D = 5, and Sc 10 4 to achieve the minimum response time (0.15). Among the selected key parameters, the relative adsorption capacity (r) has the highest contribution (42.17%) to the reduction of the response time, while the Schmidt number (Sc) has the lowest contribution (5.19%). The presented simulation results are useful in designing microfluidic biosensors in order to reduce their response time.

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Enhancement of the Analyte Mass Transport in a Microfluidic Biosensor by Deformation of Fluid Flow and Electrothermal Force

Cited by 18 publications

References 37 publications

Enhancement of Heterogeneous Microfluidic Immunosensors Using New Sensing Area Shape with Electrothermal Effect

Enhancement of Heterogeneous Microfluidic Immunosensors Using New Sensing Area Shape with Electrothermal Effect

Simulation of the Slip Velocity Effect in an AC Electrothermal Micropump

Numerical optimization of microfluidic biosensor detection time for the SARS-CoV-2 using the Taguchi method

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