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Updated: May 27, 2026

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
Published on: February 1, 2022
A graphene nanoribbon network and its biosensing application
Xiaochen Dong1, Qing Long, Jing Wang
1Key Laboratory for Organic Electronics & Information Displays and Institute of Advanced Materials, Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing, China 210046.
Chemically unzipped graphene oxide nanoribbons (GONRs) were reduced to rGONRs. These rGONR networks show superior transistor performance and enable sensitive biosensing of ATP molecules.
Area of Science:
- Materials Science
- Nanotechnology
- Electronics
Background:
- Graphene oxide nanoribbons (GONRs) offer unique electronic properties.
- Developing efficient fabrication methods for GONRs is crucial for their application.
- Comparing reduction methods impacts the final material's graphitic structure and performance.
Purpose of the Study:
- To synthesize and characterize graphene oxide nanoribbons (GONRs).
- To fabricate thin-film networks of reduced graphene oxide nanoribbons (rGONRs) using spray-coating.
- To evaluate the performance of rGONR networks in field-effect transistors (FETs) and biosensing applications.
Main Methods:
- Chemical unzipping of multiwalled carbon nanotubes (MWCNTs) to form GONRs.
- Spray-coating of GONR thin films followed by chemical (hydrazine vapor) or thermal (ethanol vapor) reduction.
- Characterization using Raman spectroscopy and X-ray photoelectron spectroscopy (XPS).
- Electrical measurements of rGONR network FETs under liquid-gate configuration.
Main Results:
- Thermal reduction with ethanol vapor more effectively restored the graphitic structure of GONRs compared to chemical reduction.
- rGONR network FETs exhibited significantly higher on/off ratios than networks of reduced graphene oxides (rGOs) or continuous graphene films.
- Demonstrated real-time and sensitive detection of adenosine triphosphate (ATP) molecules using rGONR networks for biosensing.
Conclusions:
- Thermal reduction is superior for restoring the graphitic structure of GONRs.
- rGONR networks present enhanced performance for electronic devices compared to other graphene-based materials.
- rGONR networks show significant potential for sensitive biosensing applications, particularly for ATP detection.
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