Description
Graphene-based plasmonic metasurfaces operating in the mid-infrared (IR) and terahertz (THz) spectral regime have emerged as promising platforms for ultra-sensitive biosensing. These systems utilize interference between bright and dark resonant modes to produce sharp transparency windows through mechanisms such as Plasmon Induced Transparency (PIT) and Electromagnetically Induced Transparency(EIT). The resulting resonances are highly sensitive to variations in the local refractive index, allowing biochemical changes-such as the presence of proteins, nucleic acids, or viral particles-to be detected through shifts in resonance frequency or transmission amplitude. Graphene metasurfaces are particularly well suited for biosensing in the mid-IR regime because many biological molecules exhibit strong vibrational absorption in this spectral range. The goal of my research is to develop a theoretical model of a graphene-based metasurface designed to produce tunable EIT-like responses in the IR and THz regions. By controlling system parameters such as graphene conductivity and resonator coupling, the model aims to optimize sensing performance and detection sensitivity. Such devices could enable compact biosensing technologies capable of real-time detection of biological materials in blood samples, with potential applications in point-of-care diagnostics.