3D simulation of microfluidic biosensor for SARS-CoV-2 S protein binding kinetics using new reaction surface design
Sameh Kaziz1,2, Yosra Saad1, Mohamed Hichem Gazzah1
1Quantum and Statistical Physics Laboratory, Faculty of Sciences of Monastir, University of Monastir, Environment Boulevard, 5019 Monastir, Tunisia.
Summary
This study used 3D simulations to enhance SARS-CoV-2 S protein detection in microfluidic biosensors. Alternating current electrothermal (ACET) force significantly reduced detection time by improving binding efficiency.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Computational Science
Background:
- Microfluidic immunoassays are crucial for detecting analytes like SARS-CoV-2 S protein.
- Efficient binding kinetics are essential for rapid and accurate biosensing.
- Mass transport limitations, such as diffusion boundary layers, often hinder biosensor performance.
Purpose of the Study:
- To investigate the use of 3D finite element simulations to optimize binding reaction kinetics in a microfluidic immunoassay.
- To evaluate the impact of alternating current electrothermal (ACET) force on the efficiency of SARS-CoV-2 S protein detection.
- To compare the performance of two biosensor designs with different geometries.
Main Methods:
- 3D finite element simulations were employed to model the binding of SARS-CoV-2 S protein to immobilized antibodies.
- Alternating current electrothermal (ACET) force was applied to enhance analyte transport to the sensor surface.
- The effect of ACET force on diffusion boundary layer thickness and binding efficiency was analyzed.
- Parametric studies were conducted on factors like applied voltage, frequency, thermal boundary conditions, and buffer conductivity.
Main Results:
- ACET force effectively reduced the diffusion boundary layer, accelerating analyte transport and improving binding efficiency.
- One biosensor design demonstrated a 69% reduction in detection time under optimal ACET conditions (10 Vrms, 100 kHz).
- Simulation results highlighted the influence of biosensor geometry and operating parameters on assay performance.
Conclusions:
- ACET force is a promising strategy for enhancing the speed and efficiency of microfluidic immunoassays.
- Optimizing biosensor design and operating parameters, including ACET force, can significantly improve detection capabilities for viral proteins.
- Finite element simulations provide a valuable tool for understanding and optimizing biosensor performance.


