A Stimulation and Measurement System for the Characterization of Graphene FET Biosensors

This paper presents the description of a system developed to automate the procedures for stimulation, measurement and electrical characterization of a Graphene Field-effect (GFET) biosensor which was developed aiming the diagnosis of viral infections in the point of care. The paper describes the structure of the biosensor, how its electrical characterization can be used to identify a virus and presents the arrangement built to stimulate and measure its electrical response. Next, we describe the test procedures and the methods to construct the GFET characteristic curves. We explain how the presence of virus genetic materials reflect on these curves and present an example of identification of Zika virus. The system allows the extraction of several parameters that can be used to automate the diagnosis, which is part of the investigation in progress.