Numerical optimization of a microfluidic assisted microarray for the detection of biochemical interactions

Area of Science:

• Biomolecular interactions
• Microfluidics
• Array technology

Background:

• Microfluidic devices are crucial for high-throughput biomolecular analysis.
• Optimizing microarray design is essential for accurate sensing.
• Understanding molecular complex formation dynamics is key for device performance.

Purpose of the Study:

• To characterize biomolecular interactions in a microfluidic microarray using finite element method (FEM) analysis.
• To optimize the geometrical and physical parameters of the microarray sensing device.
• To investigate the impact of sensing area disposition on molecular complex formation.

Main Methods:

• Finite element method (FEM) analysis was employed for numerical simulations.
• Optimization of geometrical and physical parameters of the microfluidic microarray.
• Analysis of different sensing area configurations, including parallel disposition.
• Obtaining both stationary and time-dependent simulation results.

Main Results:

• FEM analysis successfully characterized biomolecular interactions within the microfluidic microarray.
• Numerical simulations guided the optimization of device parameters.
• A parallel disposition of the sensing area was identified as optimal.
• Homogeneous formation of the target molecular complex was achieved across all active zones in the parallel configuration.

Conclusions:

• The study demonstrates the utility of FEM for optimizing microfluidic microarray design.
• Parallel arrangement of sensing areas enhances the homogeneity of molecular complex formation.
• Optimized design leads to improved performance and reliability of microarray sensing devices.