Engineering graphene oxide interfaces for electrochemical biosensing of biomolecules, cells, and organoids
5 affiliations
- 1Department of Intelligent Precision Healthcare Convergence, Institute for Cross-disciplinary Studies (ICS), Sungkyunkwan University (SKKU), Seobu- ro, Jangan-gu, Suwon, 16419, Republic of Korea
- 2Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, 999077, Hong Kong, People's Republic of China
- 3Department of Biomedical Engineering, ICS, SKKU, Seobu-ro, Jangan-gu, Suwon, 16419, Republic of Korea. [email protected]
- 4Department of Intelligent Precision Healthcare Convergence, Institute for Cross-disciplinary Studies (ICS), Sungkyunkwan University (SKKU), Seobu- ro, Jangan-gu, Suwon, 16419, Republic of Korea. [email protected]
- 5Department of MetaBioHealth, SKKU, Seobu-ro, Jangan-gu, Suwon, 16419, Republic of Korea. [email protected]
Abstract
Graphene oxide (GO) has established itself as a premier material for electrochemical biosensing due to its exceptional chemical tunability, aqueous processability, and unique sp²-sp³ hybridized structure. This review provides a comprehensive analysis of diverse engineering strategies to functionalize GO, enabling highly sensitive and selective detection of a broad spectrum of biological analytes. We systematically categorize these advancements into five key methodologies: (1) controlled reduction to precisely tune electrical conductivity and surface defects, (2) covalent functionalization for robust bioreceptor immobilization, (3) non-covalent modification to preserve biomolecular conformation, (4) metal nanoparticle hybridization for enhanced electrocatalysis, and (5) integration with polymeric/framework materials to build advanced three-dimensional sensing architectures. By examining applications ranging from small molecule metabolites and proteins to nucleic acids and whole pathogens, we demonstrate how tailored GO interfaces overcome conventional sensing trade-offs. Finally, we highlight the pivotal role of these engineered GO platforms in addressing the challenges of real-time monitoring at complex biological interfaces, including living cells and organoids, and outline the pathway toward clinically deployable diagnostic technologies.
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BibTeX
@article{kim2026engineering,
title = {{Engineering graphene oxide interfaces for electrochemical biosensing of biomolecules, cells, and organoids}},
author = {Huijung Kim and Cheol‐Hwi Kim and C G Kim and Zhengtang Luo and Taehyung P. Kim},
journal = {Nano Convergence},
year = {2026},
month = jun,
doi = {10.1186/s40580-026-00560-2},
url = {https://doi.org/10.1186/s40580-026-00560-2},
note = {CC BY},
}
RIS
TY - JOUR
TI - Engineering graphene oxide interfaces for electrochemical biosensing of biomolecules, cells, and organoids
AU - Huijung Kim
AU - Cheol‐Hwi Kim
AU - C G Kim
AU - Zhengtang Luo
AU - Taehyung P. Kim
PY - 2026
DA - 2026/06/30
JO - Nano Convergence
DO - 10.1186/s40580-026-00560-2
UR - https://doi.org/10.1186/s40580-026-00560-2
AB - Graphene oxide (GO) has established itself as a premier material for electrochemical biosensing due to its exceptional chemical tunability, aqueous processability, and unique sp²-sp³ hybridized structure. This review provides a comprehensive analysis of diverse engineering strategies to functionalize GO, enabling highly sensitive and selective detection of a broad spectrum of biological analytes. We systematically categorize these advancements into five key methodologies: (1) controlled reduction to precisely tune electrical conductivity and surface defects, (2) covalent functionalization for robust bioreceptor immobilization, (3) non-covalent modification to preserve biomolecular conformation, (4) metal nanoparticle hybridization for enhanced electrocatalysis, and (5) integration with polymeric/framework materials to build advanced three-dimensional sensing architectures. By examining applications ranging from small molecule metabolites and proteins to nucleic acids and whole pathogens, we demonstrate how tailored GO interfaces overcome conventional sensing trade-offs. Finally, we highlight the pivotal role of these engineered GO platforms in addressing the challenges of real-time monitoring at complex biological interfaces, including living cells and organoids, and outline the pathway toward clinically deployable diagnostic technologies.
SN - 2196-5404
ER -