This work proposes and demonstrates a biosensor with reduced Graphene Oxide (rGO) based Field Effect Transistor (FET) for rapid and selective detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The main objective of this thesis is to detect the SARS-CoV-2 spike protein antigen on spot selectively and rapidly. The rGO channel is coated with the spike protein antibodies to achieve selectivity. Moreover, the biosensing performance and specificity are governed by decorating the sensor’s channel with Metal Nanoparticles (MNPs) such as, copper, and silver. The designed sensor successfully detects the SARS-CoV-2 spike protein and shows singular electrical behavior for detection. The rGO-FET biosensor electronic transport characteristics such as transmission spectrum, electronic current, and transfer curves are studied by using semiempirical modeling combined with a nonequilibrium Green’s function. The transmission spectrum, I-V and transfer curves are investigated to spot the performance alteration caused by detecting the target molecule. The sensor is also tested against another virus, namely Rabies virus, and showed no detection reaction towards it. The introduced sensor is 8.2 nm long and 6.1 nm wide which makes it a perfect candidate for easy handling and transporting. RGO FET-based biosensor is developed and tested to take the advantage of the unique electronic properties of the rGO channel and offer a quick, rapid, easy, and accurate detection method for SARS-CoV-2 virus. The semiempirical study, along with the simulations results are in agreement with the previous literature studies and provide an excellent pathway for practical fabrication
