Design and Analysis of a Plasmonic Metasurface-Based Graphene Sensor for Highly Sensitive and Label-Free Detection of COVID-19 Biomarkers
摘要
This research presents plasmonic metasurface-based graphene sensor for highly sensitive and label-free detection of COVID-19 biomarkers. The proposed sensor structure integrates graphene with specially engineered metasurface resonators for the detection of SARS-CoV-2 biomarkers through analysis of terahertz spectroscopic signatures. Finite element method simulations were performed to optimize the sensor design, including resonator dimensions, angle of incidence, and graphene chemical potential. The optimized sensor demonstrates a maximum sensitivity of 400 GHzRIU−1, a figure of merit of 0.224 RIU−1, a quality factor of 7.942, and a detection limit of 0.465 RIU. Electric field distribution analysis provides insights into the sensor’s plasmonic modes and light-matter interactions. The sensor also shows potential for 2-bit encoding applications. Compared to existing designs, the proposed sensor exhibits superior performance in key metrics like sensitivity among others. This plasmonic metasurface approach presents a promising platform for rapid, sensitive, and specific detection of SARS-CoV-2 and other viral biomarkers, with potential applications in advanced diagnostic tools and public health monitoring.