An Optical Modeling Framework for Coronavirus Detection Using Graphene-Based Nanosensor

Area of Science:

• Nanotechnology
• Optical Physics
• Biomedical Engineering

Background:

• The COVID-19 pandemic highlights the urgent need for rapid diagnostic tools.
• Understanding the optical behavior of nanoscale viruses like SARS-CoV-2 is crucial for developing advanced sensory technologies.

Purpose of the Study:

• To develop an optical modeling framework for a COVID-19 particle.
• To investigate the optical characteristics and light reflectance of the virus.
• To propose and demonstrate a functional nanosensor for detecting COVID-19 in blood.

Main Methods:

• Developed a theoretical model for a COVID-19 particle based on experimental data.
• Simulated light reflectance spectra by varying particle geometry (diameter, spike size).
• Investigated the effect of particle density on light interaction.
• Designed and simulated a nanosensor using graphene, silicon, and gold nanodisks.

Main Results:

• Optical reflectance spectra are highly sensitive to geometric variations of the COVID-19 particle.
• The density of virus particles influences light interaction.
• The proposed nanosensor design shows functionality for detecting COVID-19 particles in blood.

Conclusions:

• The optical modeling framework provides insights into virus behavior for sensor design.
• The developed nanosensor offers a promising approach for rapid, sensitive COVID-19 detection.
• This technology has potential for integration into nanoelectronic kits and wearable devices.