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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mortazavi, S | - |
| dc.contributor.author | Makouei, S | - |
| dc.contributor.author | Abbasian, K | - |
| dc.contributor.author | Danishvar, S | - |
| dc.date.accessioned | 2026-01-23T16:33:07Z | - |
| dc.date.available | 2026-01-23T16:33:07Z | - |
| dc.date.issued | 2025-12-05 | - |
| dc.identifier | ORCiD: Somayeh Makouei https://orcid.org/0000-0001-7490-4422 | - |
| dc.identifier | ORCiD: Karim Abbasian https://orcid.org/0000-0002-7448-0292 | - |
| dc.identifier | ORCiD: Sebelan Danishvar https://orcid.org/0000-0002-8258-0437 | - |
| dc.identifier | Article number: 1202 | - |
| dc.identifier.citation | Mortazavi, S. et al. (2025) 'Emerging Trends in Optical Fiber Biosensing for Non-Invasive Biomedical Analysis', Photonics, 12 (12), 1202, pp. 1 - 36. doi: 10.3390/photonics12121202. | en_US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/32707 | - |
| dc.description | Data Availability Statement: No new data were created or analyzed in this study. | en_US |
| dc.description.abstract | Optical fiber biosensors have evolved into powerful tools for non-invasive biomedical analysis. While foundational principles are well-established, recent years have marked a paradigm shift, driven by advancements in nanomaterials, fabrication techniques, and data processing. This review provides a focused overview of these emerging trends, critically analyzing the innovations that distinguish the current generation of optical fiber biosensors from their predecessors. We begin with a concise summary of fundamental sensing principles, including Surface Plasmon Resonance (SPR) and Fiber Bragg Gratings (FBGs), before delving into the latest breakthroughs. Key areas of focus include integrating novel 2D materials and nanostructures to dramatically enhance sensitivity and advancing synergy with Lab-on-a-Chip (LOC) platforms. A significant portion of this review is dedicated to the rapid expansion of clinical applications, particularly in early cancer detection, infectious disease diagnostics, and continuous glucose monitoring. We highlight the pivotal trend towards wearable and in vivo sensors and explore the transformative role of artificial intelligence (AI) and machine learning (ML) in processing complex sensor data to improve diagnostic accuracy. Finally, we address the persistent challenges—biocompatibility, long-term stability, and scalable manufacturing—that must be overcome for widespread clinical adoption and commercialization, offering a forward-looking perspective on the future of this dynamic field. | en_US |
| dc.description.sponsorship | This research received no external funding. | en_US |
| dc.format.extent | 1 - 36 | - |
| dc.format.medium | Electronic | - |
| 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 | optical fiber biosensor | en_US |
| dc.subject | non-invasive analysis | en_US |
| dc.subject | surface plasmon resonance (SPR) | en_US |
| dc.subject | nanomaterials | en_US |
| dc.subject | biomarker | en_US |
| dc.title | Emerging Trends in Optical Fiber Biosensing for Non-Invasive Biomedical Analysis | en_US |
| dc.type | Article | en_US |
| dc.date.dateAccepted | 2025-12-03 | - |
| dc.identifier.doi | https://doi.org/10.3390/photonics12121202 | - |
| dc.relation.isPartOf | Photonics | - |
| pubs.issue | 12 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 12 | - |
| dc.identifier.eissn | 2304-6732 | - |
| dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
| dcterms.dateAccepted | 2025-12-03 | - |
| dc.rights.holder | The authors | - |
| dc.contributor.orcid | Makouei, Somayeh [0000-0001-7490-4422] | - |
| dc.contributor.orcid | Abbasian, Karim [0000-0002-7448-0292] | - |
| dc.contributor.orcid | Danishvar, Sebelan [0000-0002-8258-0437] | - |
| Appears in Collections: | Dept of Mechanical and Aerospace 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/). | 4.43 MB | Adobe PDF | View/Open |
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