<p>Viruses are responsible for a wide range of both common and severe illnesses, such as the SARS-COV-2 and Influenza-A. The severity of these disorders is contingent upon the specific type and quantity of cells that are infected and disturbed. The field of clinical diagnostics and viral detection has experienced significant advancements because of the rapid development of molecular approaches, which has provided enhanced levels of selectivity and sensitivity. Viral infections are significant contributors to severe pandemics, resulting in a substantial number of fatalities and substantial economic losses on a yearly basis. Carbon-based nanomaterials such as graphene, have notable characteristics such as outstanding conductivity, ultrahigh electron mobility, and great thermal conductivity, making them a highly potential resource for the development of biosensors. Due to its high sensitivity, real-time detection capacity, and label-free design, Surface Plasmon Resonance (SPR) technology has emerged as a viable method for the detection of viral samples. This method has been used to detect a number of viral samples, including Influenza-A and SARS-COV-2, with success. Here, a five-layer SPR novel and mathematical biosensor based on N-Graphene plasmonic sensor is proposed. The biosensor is a viable contender for application in medical diagnostics since it can accurately and sensitively detect and distinguish between various biological samples.</p>