Novel Graphene Field Effect Biosensing Technology for Binding Kinetics
Recorded On: 02/05/2018
We introduce a breakthrough electrical label-free biosensor that provides a new approach to measuring binding kinetics. This approach uses a label-free technique called Field Effect Biosensing (FEB) to measure biomolecular interactions. Field effect biosensors use a semiconducting material to monitor changes in binding potential of biomolecules such as proteins, nuceotides, peptides, and small molecules conjugated to the semiconductor surface. Practical use of this technology for biology requires use of a biocompatible semiconductor such as graphene. Graphene is a 2-dimensional sheet of sp2 hybridized carbon that is well known for its excellent electrical conductivity, high surface area, and unique biocompatibility. Basic electronic devices using graphene were first demonstrated in 2004; this work won the Nobel prize in 2010. In nanotechnology labs, graphene biosensors have pushed existing limits of detection for label free sensors and have shown the ability to measure a large range of biochemical interactions from detecting DNA SNPs to small molecules binding to GPCRs.
We will present our architecture and implementation of graphene based FEB biosensors for label free kinetics. In our architecture, FEB measures the current through a graphene biosensor with targets conjugated to the surface and used as a functional active-biology gate dielectric. Any interaction or binding that occurs with the target causes a change in conductance that is monitored in real-time. We will also present data from our recently published research demonstrating sensitivity into the pM range to inflammation markers (IL-6) and Zika viral antigen (ZIKV NS1). High precision measurements of protein kinetics captured using this technology, commercially available as the Agile R100, are comparable to both ELISA and standard label free biomolecule characterization tools. Specifically, we show an improvement in signal-to-noise and in lower limit of detection. These results demonstrate that graphene-based platforms are highly attractive biological sensors for next generation kinetics characterization.
Late Night with LRIG