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Design, Simulation, and Development of a BioSensor for Viruses Detection Using FPGA.

M Abdallah1

  • 1SUNY Polytechnic InstituteUticaNY13504USA.

IEEE Journal of Translational Engineering in Health and Medicine
|February 18, 2021
PubMed
Summary

This study introduces a novel impedance biosensor for continuous home healthcare monitoring. The developed system accurately detects viruses by measuring impedance changes, paving the way for early diagnosis and improved patient care.

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Area of Science:

  • Electrical Engineering
  • Biomedical Engineering
  • Nanotechnology

Background:

  • Impedance-based biosensing offers a sensitive electrical method for biomolecule detection and biological event monitoring.
  • Current impedance detection methods often rely on expensive and cumbersome impedance analyzers, limiting practical applications.
  • Rapid viral infection diagnosis and continuous patient monitoring are crucial for effective treatment and improved health outcomes, necessitating accessible home healthcare solutions.

Purpose of the Study:

  • To develop and validate a novel sensor and home healthcare monitoring system for virus detection.
  • To investigate the use of impedance changes due to antibody-antigen binding for biosensing applications.
  • To create a cost-effective and continuous monitoring solution for patient health.

Main Methods:

Keywords:
BiosensorFPGAimpedancenanoscalevirus testing

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  • A novel sensor and healthcare monitoring system was modeled and simulated using COMSOL Multiphysics.
  • Nanoscale electrode size and spacing effects on biosensing were analyzed using COMSOL.
  • A Field Programmable Gate Arrays (FPGA) based signal processing system was developed to acquire sensor readings.

Main Results:

  • COMSOL simulations predicted an increase in impedance during electrode functionalization and antigen binding.
  • The developed FPGA prototype successfully verified the COMSOL model's predictions.
  • The system demonstrated the potential for continuous monitoring of patient conditions by detecting impedance changes.

Conclusions:

  • The proposed impedance biosensor model was successfully simulated, tested, and verified.
  • The FPGA prototype confirmed the sensor's capability for virus detection through impedance change measurement.
  • This research validates the sensor's potential for practical application in continuous, home-based viral detection and health monitoring.