Evidence map›Paper›PMID 40467662›Full record

ArticleScientific reports2025

Plasmonic optical fiber biosensors for ultra-low detection of respiratory syncytial virus via point-of-care tests.

Federica Passeggio, Luigi Zeni, Massimiliano Galdiero, Francesco Arcadio, Carla Zannella, Anna De Filippis, Chiara Marzano, Ines Tavoletta, Fabiana Napolitano, Rosalba Pitruzzella and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Federica PasseggioDepartment of Engineering, University of Campania "Luigi Vanvitelli", Aversa, 81031, Italy.
Luigi ZeniDepartment of Engineering, University of Campania "Luigi Vanvitelli", Aversa, 81031, Italy.
Massimiliano GaldieroDepartment of Experimental Medicine, Section of Microbiology and Clinical Microbiology, University of Campania "Luigi Vanvitelli", Naples, 80138, Italy.
Francesco ArcadioDepartment of Engineering, University of Campania "Luigi Vanvitelli", Aversa, 81031, Italy.
Carla ZannellaDepartment of Experimental Medicine, Section of Microbiology and Clinical Microbiology, University of Campania "Luigi Vanvitelli", Naples, 80138, Italy.
Anna De FilippisDepartment of Experimental Medicine, Section of Microbiology and Clinical Microbiology, University of Campania "Luigi Vanvitelli", Naples, 80138, Italy.
Chiara MarzanoDepartment of Engineering, University of Campania "Luigi Vanvitelli", Aversa, 81031, Italy.
Ines TavolettaDepartment of Engineering, University of Campania "Luigi Vanvitelli", Aversa, 81031, Italy.
Fabiana NapolitanoDepartment of Translational Medical Sciences, University of Naples "Federico II", Naples, 80131, Italy.
Rosalba PitruzzellaDepartment of Engineering, University of Campania "Luigi Vanvitelli", Aversa, 81031, Italy.
Giuseppe PortellaDepartment of Translational Medical Sciences, University of Naples "Federico II", Naples, 80131, Italy. giuseppe.portella@unina.it.
Nunzio CennamoDepartment of Engineering, University of Campania "Luigi Vanvitelli", Aversa, 81031, Italy. nunzio.cennamo@unicampania.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) is a major cause of bronchiolitis and pneumonia, particularly in children, the elderly, and immunocompromised individuals. Despite significant health impacts, annual RSV-related hospitalizations may be underreported due to undertesting and limited diagnostic sensitivity. Point-of-care tests (POCTs) could enhance the rapid and accurate detection of RSV, enabling timely treatment and reducing hospitalizations. In this frame, for the first time, a plasmonic RSV biosensor based on modified plastic optical fibers (POFs) has been developed and tested by functionalizing the plasmonic platform with a specific antibody targeting the RSV fusion (F) protein. This protein was selected because it is the most conserved surface protein between the two RSV subtypes, RSV A and RSV B. The main goal of the work is to develop a biosensor capable of detecting RSV regardless of the subtype (A or B), as subtype discrimination is not clinically relevant for therapeutic decision-making. The POF-based RSV biosensor performance was first obtained via standard solutions with different RSV concentrations to evaluate the binding sensitivity with the target analyte. In such a way, an ultra-low detection limit equal to about 0.88 PFU/mL was achieved. Furthermore, selectivity tests demonstrated the biosensor's ability to distinguish RSV from other viruses. In addition, nasopharyngeal swab samples were tested. The POCT's RSV measurement time is about ten minutes. A gold standard analysis confirmed the achieved results. Hence, the results establish the POF-based RSV biosensor as a sensitive, cost-effective, ultra-fast, capable of being connected to the Internet, and a scalable alternative to traditional RSV detection methods, offering a promising tool for improving diagnostic capabilities in clinical and resource-limited settings.

Indexed as

Biosensing TechniquesOptical FibersPoint-of-Care TestingRespiratory Syncytial VirusesRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsHumansPoint-of-Care SystemsViral Fusion ProteinsViral Fusion Proteins

Identifiers

PMID40467662
PMCPMC12137725

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.