Selective detection of target proteins by peptide-enabled graphene biosensor.

Area of Science:

• Biomolecular Engineering
• Nanotechnology
• Biosensing

Background:

• Direct molecular detection of biomarkers is crucial for disease diagnosis and molecular medicine.
• Current indirect detection methods lack sensitivity, selectivity, and are complex.
• Graphene and carbon nanotubes offer advantages for ultrasensitive biomolecular detection.

Purpose of the Study:

• To develop a versatile method for simultaneous functionalization and passivation of graphene sensor surfaces.
• To enhance detection sensitivity and selectivity for biomolecular binding.
• To create a reusable graphene biosensor for various bio-sensing applications.

Main Methods:

• Functionalization of graphene using self-assembling multifunctional peptides.
• Co-assembly of peptides into an ordered monomolecular film on graphene.
• Development of a graphene field-effect transistor (gFET) biosensor.

Main Results:

• Selective detection of streptavidin against a background of serum bovine albumin at concentrations below 50 ng/ml.
• Demonstration of a peptide-enabled gFET biosensor with enhanced target selectivity.
• Successful restoration and reuse of the graphene sensor surface for multiple experiments.

Conclusions:

• Peptide-functionalized graphene sensors offer a promising platform for ultrasensitive and selective biomolecular detection.
• This approach significantly improves upon existing methods for biomarker analysis.
• The developed gFET biosensor has broad potential in clinical diagnostics and research settings.