The surface plasmon resonance (SPR) biosensor has become a powerful analytical tool for investigating biomolecular interactions. There are several methods to excite surface plasmon, such as coupling with prisms, fiber optics, grating, nanoparticles, etc. The challenge in developing this type of biosensor is to increase its sensitivity. In relation to this, graphene is one of the materials that is widely studied because of its unique properties. In several studies, this material has been proven theoretically and experimentally to increase the sensitivity of SPR. This paper discusses the current development of a graphene-based SPR biosensor for various excitation methods. The discussion begins with a discussion regarding the properties of graphene in general and its use in biosensors. Simulation and experimental results of several excitation methods are presented. Furthermore, the discussion regarding the SPR biosensor is expanded by providing a review regarding graphene-based Surface-Enhanced Raman Scattering (SERS) biosensor to provide an overview of the development of materials in the biosensor in the future.

Since graphene was first isolated in 2004, research related to graphene-based 2D material for surface plasmon resonance (SPR) biosensor applications has increased. Recently, other types of 2D materials such as Transition Metal Dichalcogenides have also been investigated. This 2D material has exceptional optical and electronic properties and can be utilized to improve the performance of biosensors. The performance of SPR biosensors can be determined based on their sensitivity and detection accuracy (DA). To find out the sensitivity and DA, simulation approach can be done. In this paper, we perform SPR simulations on monolayer and multilayer structures of 2D material, namely graphene, graphene oxide, molibdenum disulfida, and tungsten diselenide. In addition, we also investigated the sensitivity and DA of SPR biosensors on hybrid structures. The results obtained indicate that the use of 2D material can increase the sensitivity of the SPR up to 5 times when compared to conventional structures. Of the four types of 2D material investigated, GO is the material with the best accuracy. If the SPR biosensor performance is determined based on the FOM value, the best performance is owned by the GO-based SPR structure with a sensitivity of 151.87 deg/RIU and DA 0.22 deg-1.