A novel silicon membrane-based biosensing platform using distributive sensing strategy and artificial neural networks...

Area of Science:

• Biotechnology
• Microelectromechanical Systems (MEMS)
• Biosensors

Background:

• Traditional biosensors struggle with monitoring biological particles like endothelial cells due to their irregular shapes and uncertain growth.
• A micromachined silicon membrane offers a potential platform for advanced biosensing capabilities.

Purpose of the Study:

• To investigate a novel biosensing system based on a micromachined silicon membrane.
• To evaluate the performance of an artificial neural network for cell detection and density measurement.
• To demonstrate the potential of this system as a general biosensing platform.

Main Methods:

• A distributive sensing scheme was employed to monitor the dynamics of the silicon membrane.
• Artificial neural networks processed frequency response function (FRF) data.
• Experiments involved seeding EA.hy 926 endothelial cell lines at varying densities in cell culture medium.

Main Results:

• The system successfully monitored the dynamics of the silicon membrane.
• The neural network accurately identified cell presence and density from the measured data.
• The biosensor demonstrated effective performance in a simulated biological environment.

Conclusions:

• The developed biosensing system shows significant promise for real-time monitoring of biological particles.
• The integration of neural networks with micromachined membranes offers a powerful approach for biosensing.
• This platform has broad potential applications in various biosensing fields.