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Updated: Jan 14, 2026

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
Published on: February 1, 2022
Graphene-based nanozymes for revolutionizing biomedical research
Astha Tripathi1,2, Saumya Singh Rautela2, Pratibha Kumari2
1Department of Chemistry, University of Delhi New Delhi-110007 India.
Graphene-based nanozymes offer enzyme-like properties, overcoming traditional enzyme limitations. These nanomaterials show promise for diverse biomedical applications due to their unique catalytic and functional characteristics.
Area of Science:
- Materials Science
- Biochemistry
- Nanotechnology
Background:
- Nanozymes are nanomaterials with enzyme-like catalytic activity, offering advantages over natural enzymes like lower cost and higher stability.
- Graphene-based nanomaterials (graphene, graphene oxide, reduced graphene oxide) exhibit tunable electronic and structural properties.
- These properties allow them to mimic natural enzyme active sites, acting as versatile nanozymes.
Purpose of the Study:
- To review the enzymatic characteristics of graphene-based nanozymes.
- To highlight recent advancements in graphene nanozyme research.
- To explore their potential in various biomedical applications.
Main Methods:
- Literature review of studies on graphene-based nanozymes.
- Analysis of enzymatic mimicry by graphene nanostructures.
- Examination of reported biomedical applications.
Main Results:
- Graphene-based nanomaterials effectively mimic various enzyme activities (oxidase, peroxidase, catalase, SOD).
- Their tunable properties enable diverse functionalities for biomedical uses.
- Significant progress has been made in developing graphene nanozymes for applications like wound healing, cancer therapy, and biosensing.
Conclusions:
- Graphene-based nanozymes represent a promising alternative to conventional enzymes.
- Their unique properties facilitate advancements in multiple biomedical fields.
- Continued research is expected to expand their therapeutic and diagnostic potential.
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