Evidence map›Paper›PMID 41516481›Full record

ArticleSensors (Basel, Switzerland)2025

Highly Sensitive Detection of Anti-SARS-CoV-2 Antibodies in Human Serum Using Bloch Surface Wave Biosensor.

Anastasiia Gaganina, Agostino Occhicone, Daniele Chiappetta, Paola Di Matteo, Norbert Danz, Matteo Allegretti, Peter Munzert, Chiara Mandoj, Francesco Michelotti, Alberto Sinibaldi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Anastasiia GaganinaDepartment of Basic and Applied Science for Engineering, Sapienza University of Rome, Via A. Scarpa 16, 00161 Rome, Italy.ORCID 0009-0004-8481-8885
Agostino OcchiconeDepartment of Basic and Applied Science for Engineering, Sapienza University of Rome, Via A. Scarpa 16, 00161 Rome, Italy.ORCID 0000-0001-8295-6222
Daniele ChiappettaDepartment of Basic and Applied Science for Engineering, Sapienza University of Rome, Via A. Scarpa 16, 00161 Rome, Italy.
Paola Di MatteoDepartment of Basic and Applied Science for Engineering, Sapienza University of Rome, Via A. Scarpa 16, 00161 Rome, Italy.ORCID 0000-0001-8837-6317
Norbert DanzFraunhofer Institute for Applied Optics and Precision Engineering IOF, Albert-Einstein-Str. 7, 07745 Jena, Germany.ORCID 0000-0002-8927-9284
Matteo AllegrettiTranslational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Via Fermo Ognibene 23, 00144 Rome, Italy.ORCID 0000-0003-3398-8775
Peter MunzertFraunhofer Institute for Applied Optics and Precision Engineering IOF, Albert-Einstein-Str. 7, 07745 Jena, Germany.ORCID 0009-0002-3014-3849
Chiara MandojClinical Pathology Unit and Cancer Biobank, IRCCS Regina Elena National Cancer Institute, Via E. Chianesi 53, 00144 Rome, Italy.
Francesco MichelottiDepartment of Basic and Applied Science for Engineering, Sapienza University of Rome, Via A. Scarpa 16, 00161 Rome, Italy.ORCID 0000-0003-0285-6059
Alberto SinibaldiDepartment of Basic and Applied Science for Engineering, Sapienza University of Rome, Via A. Scarpa 16, 00161 Rome, Italy.ORCID 0000-0003-1970-3737

Funding

European Union - NextGenerationEU Project ECS 0000024 Rome Technopole, CUP B83C22002820006, NRP Mission 4 Component 2 Investment 1.5
6 · The paper itself

Abstract

Accurate and sensitive antibody detection remains critical for advanced COVID-19 diagnostics and monitoring SARS-CoV-2 immunity. This study presents a highly sensitive technique for detecting anti-SARS-CoV-2 antibodies in human serum using an integrated photonic sensing platform. The platform utilizes disposable one-dimensional photonic crystal biochips engineered to sustain Bloch Surface Waves. The biochips are integrated into a custom-made optical set-up, which is capable of dual-mode detection: label-free refractometry and label-based fluorescence. Tests on human serum, including negative controls and positive samples from a recovered COVID-19 patient, confirmed the platform's effective performance. In fluorescence mode, clear discrimination between positive and negative samples was achieved down to a 1:10

Indexed as

Antibodies, ViralBiosensing TechniquesCOVID-19SARS-CoV-2HumansAntibodies, ViralbiosensorsBloch surface wavesfluorescenceone-dimensional photonic crystalsSARS-CoV-2

Identifiers

PMID41516481
PMCPMC12787910

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Registered trials

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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.