Tunable THZ sensor for Avian Influenza viruses identification based on InSb-graphene structure

This work presents an analysis of a tunable sensor for Avian Influenza (AI) identification, operating in the terahertz frequency regime based on the Wave Concept Iterative Process ( WCIP) method. The sensor consists of a rectangular patch antenna with a Split Ring Resonator (SRR) placed in the center. The tunability of the device can be achieved by varying the temperature of the InSb semiconductor or the chemical potential of the graphene. The InSb semiconductor can tune the sensor frequency from 2.64 to 3.24 THz by increasing the temperature from 300 to 700 K. And, with graphene, it can be tuned from 2.64 to 2.94 THz by varying its chemical potential from 0.1 to 0.4 eV.\\The numerical results show the sensitivity of the sensor to all variations in the coefficients of the real and imaginary parts of the virus's refractive index. Finally, the capacity of the sensor to identify the different sub-types of the virus is proved. This capacity is translated by the shift in the resonance frequency values. It shifted from 2.64 to 2.73, 2.76 and 3.13 THz, and consequently the quality factor of the sensor shifted from 3.6, to 2.14, 2.44 and 2.48, respectively, for H1N1, H5N1 and H9N2.