OPTIMIZATION OF THE GRAPHENE-SILVER BASED SURFACE PLASMON RESONANCE (SPR) SENSOR

In this study, we investigated optical performance of a SPR-Sensor based on graphene-Silver substrate. Using the angle interrogation methods, we simulated the reflection spectrum which depends on the metal thickness and the refractive index of prism by exploiting the unique optical properties of graphene layers (especially in terms of its good absorption of molecules and its oxidation resistance). The addition of a certain number of graphene layers based on the knowledge that silver oxidation decreases the sensitivity of the sensor improved the sensitivity, while the detection accuracy decreased. To optimize the sensor performance, the investigation focused on monolayer graphene. Furthermore, genetic algorithms were used to optimize the SPR biosensor reflection by adjusting the coefficients of the system, which are the incidence angle and metal layer thickness.