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Related Experiment Video

Updated: Nov 19, 2025

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
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Graphene on SiC Substrate as Biosensor: Theoretical Background, Preparation, and Characterization.

Alexander A Lebedev1, Sergey Yu Davydov1, Ilya A Eliseyev2

  • 1Solid State Electronic Department, Ioffe Institute, St. Petersburg 194021, Russia.

Materials (Basel, Switzerland)
|January 30, 2021
PubMed
Summary

This study optimized graphene sensors for detecting nitrogen dioxide (NO2) at low concentrations. The developed graphene biosensors also showed promise for detecting protein molecules.

Keywords:
Auger and Raman spectroscopiesGreen-function methodSiCgrapheme biosensorgraphenegraphene gas sensorsublimation

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Chemical Sensing

Background:

  • Graphene's unique electronic properties make it suitable for advanced sensor applications.
  • Developing highly sensitive and selective sensors for environmental and biomedical monitoring is crucial.

Purpose of the Study:

  • To develop and optimize parameters for graphene-based sensors.
  • To investigate graphene sensors for detecting nitrogen dioxide (NO2) and protein molecules.

Main Methods:

  • Graphene films grown on 6H-SiC substrates via thermal decomposition.
  • Characterization using Auger and Raman spectroscopies.
  • Laser-based fabrication of sensor structures.
  • Theoretical modeling using the Green-function method for adsorption analysis.

Main Results:

  • Confirmed single-layer graphene on SiC substrates.
  • Achieved NO2 detection sensitivity down to 0.01 ppb.
  • Demonstrated a graphene biosensor fabricated using gas sensor technology.
  • Tested biosensor functionality using an immunochemical system (fluorescein and monoclonal antibodies).

Conclusions:

  • Optimized graphene sensor parameters enable high-sensitivity NO2 detection.
  • Graphene-based sensor technology is adaptable for biosensing applications.
  • The Green-function method provides analytical insights into molecular adsorption on graphene.