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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ramoso, JP | - |
| dc.contributor.author | Rasekh, M | - |
| dc.contributor.author | Balachandran, W | - |
| dc.date.accessioned | 2025-11-07T13:14:05Z | - |
| dc.date.available | 2025-11-07T13:14:05Z | - |
| dc.date.issued | 2025-09-06 | - |
| dc.identifier | ORCiD: John Paolo Ramoso https://orcid.org/0000-0001-9249-9766 | - |
| dc.identifier | ORCiD: Wamadeva Balachandran https://orcid.org/0000-0002-4806-2257 | - |
| dc.identifier | Article number: 586 | - |
| dc.identifier.citation | Ramoso, P., Rasekh, M. and Balachandran, W. (2025) 'Graphene-Based Biosensors: Enabling the Next Generation of Diagnostic Technologies—A Review', Biosensors, 15 (9), 586, pp. 1 - 40. doi: 10.3390/bios15090586. | en_US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/32312 | - |
| dc.description | Data Availability Statement: Data sharing is not applicable. | en_US |
| dc.description.abstract | Graphene, a two-dimensional carbon material with a hexagonal lattice structure, possesses remarkable properties. Exceptional electrical conductivity, mechanical strength, and high surface area that make it a powerful platform for biosensing applications. Its sp2-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. | en_US |
| dc.description.sponsorship | This research received no external funding. | en_US |
| dc.format.extent | 1 - 40 | - |
| dc.language | English | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | MDPI | en_US |
| dc.rights | Creative Commons Attribution 4.0 International | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.subject | graphene | en_US |
| dc.subject | biosensors | en_US |
| dc.subject | detection mechanisms | en_US |
| dc.subject | multiplex detection | en_US |
| dc.subject | review | en_US |
| dc.title | Graphene-Based Biosensors: Enabling the Next Generation of Diagnostic Technologies—A Review | en_US |
| dc.type | Article | en_US |
| dc.date.dateAccepted | 2025-09-01 | - |
| dc.identifier.doi | https://doi.org/10.3390/bios15090586 | - |
| dc.relation.isPartOf | Biosensors | - |
| pubs.issue | 9 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 15 | - |
| dc.identifier.eissn | 2079-6374 | - |
| dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
| dcterms.dateAccepted | 2025-09-01 | - |
| dc.rights.holder | The authors | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
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|---|---|---|---|---|
| FullText.pdf | Copyright © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | 3.62 MB | Adobe PDF | View/Open |
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