Litcius/Paper detail

Graphene-Based Biosensors: Enabling the Next Generation of Diagnostic Technologies—A Review

John Paolo A. Ramoso, Manoochehr Rasekh, Wamadeva Balachandran

2025Biosensors24 citationsDOIOpen Access PDF

Abstract

-hybridised network facilitates efficient electron mobility and enables diverse surface functionalisation through bio-interfacing. This review highlights the core detection mechanisms in graphene-based biosensors. Optical sensing techniques, such as surface plasmon resonance (SPR) and surface-enhanced Raman scattering (SERS), benefit significantly from graphene's strong light-matter interaction, which enhances signal sensitivity. Although graphene itself lacks intrinsic piezoelectricity, its integration with piezoelectric substrates can augment the performance of piezoelectric biosensors. In electrochemical sensing, graphene-based electrodes support rapid electron transfer, enabling fast response times across a range of techniques, including impedance spectroscopy, amperometry, and voltammetry. Graphene field-effect transistors (GFETs), which leverage graphene's high carrier mobility, offer real-time, label-free, and highly sensitive detection of biomolecules. In addition, the review also explores multiplexed detection strategies vital for point-of-care diagnostics. Graphene's nanoscale dimensions and tunable surface chemistry facilitate both array-based configurations and the simultaneous detection of multiple biomarkers. This adaptability makes graphene an ideal material for compact, scalable, and accurate biosensor platforms. Continued advancements in graphene biofunctionalisation, sensing modalities, and integrated multiplexing are driving the development of next-generation biosensors with superior sensitivity, selectivity, and diagnostic reliability.

Topics & Concepts

GrapheneBiosensorNanotechnologyMaterials scienceMultiplexingSurface plasmon resonanceTransistorRaman scatteringPiezoelectricityOptoelectronicsLeverage (statistics)ElectrodePlasmonComputer scienceSurface modificationSIGNAL (programming language)Surface plasmonElectrical impedanceRaman spectroscopyElectronic engineeringScatteringNanoscopic scaleGraphene and Nanomaterials ApplicationsAdvanced biosensing and bioanalysis techniquesElectrochemical sensors and biosensors