Evidence map›Paper›PMID 40558472›Full record

ArticleBiosensors2025

Cellulose-Based Colorimetric Test Strips for SARS-CoV-2 Antibody Detection.

Mariana P Sousa, Ana Cláudia Pereira, Bárbara Correia, Anália do Carmo, Ana Miguel Matos, Maria Teresa Cruz, Felismina T C Moreira

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Mariana P SousaBioMark/CEB/LABBELS-Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0001-5232-2384
Ana Cláudia PereiraExperimental Pathology and Therapeutics Group-Research Center, Porto Comprehensive Cancer Center (Porto.CCC) & RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto), 4200-072 Porto, Portugal.ORCID 0000-0003-1727-8255
Bárbara CorreiaBioMark/CEB/LABBELS-Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
Anália do CarmoCenter for Innovative Biomedicine and Biotechnology (CIBB) and Center for Neuroscience and Cell Biology (CNC-UC), University of Coimbra, 3000-548 Coimbra, Portugal.
Ana Miguel MatosCERES-Chemical Engineering and Renewable Resources for Sustainability, Faculty of Sciences and Technology, University of Coimbra, 3030-790 Coimbra, Portugal.ORCID 0000-0001-5764-0023
Maria Teresa CruzCERES-Chemical Engineering and Renewable Resources for Sustainability, Faculty of Sciences and Technology, University of Coimbra, 3030-790 Coimbra, Portugal.ORCID 0000-0001-9846-6754
Felismina T C MoreiraBioMark/CEB/LABBELS-Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0003-4237-8952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic highlighted the need for rapid, cost-effective tools to monitor transmission and immune response. We developed two novel paper-based colorimetric biosensors using glutaraldehyde as a protein dye-its first use in this context. Glutaraldehyde reacts with amino groups to generate a brown color, enabling detection of SARS-CoV-2 antibodies. Wathman filter paper was functionalized with (3-aminopropyl)triethoxysilane (APTES) to immobilize virus-like particles (VLPs) and nucleocapsid protein (N-protein) as biorecognition elements. Upon incubation with antibody-containing samples, glutaraldehyde enabled colorimetric detection using RGB analysis in ImageJ software. Both sensors showed a linear correlation between antibody concentration and RGB values in buffer and serum. The VLP sensor responded linearly within the range of 1.0-20 µg/mL (green coordinate) in 500-fold diluted serum and the N-protein sensor from 1.0-40 µg/mL (blue coordinate) in 250-fold diluted serum. Both sensors demonstrated good selectivity, with glucose causing up to 18% interference. These biosensors represent a paradigm shift, as they provide a sensitive, user-friendly, and cost-effective option for semi-quantitative serological analysis. Furthermore, their versatility goes beyond the detection of SARS-CoV-2 antibodies and suggests broader applicability for various molecular targets.

Indexed as

Antibodies, ViralBiosensing TechniquesCelluloseColorimetryCOVID-19COVID-19 Serological TestingSARS-CoV-2Coronavirus Nucleocapsid ProteinsGlutaralHumansPropylaminesReagent StripsSilanesamino-propyl-triethoxysilaneAntibodies, ViralCelluloseCoronavirus Nucleocapsid ProteinsGlutaralPropylaminesReagent StripsSilanescolorimetricglutaraldehydepaper-basedproteinSARS-CoV-2

Identifiers

PMID40558472
PMCPMC12190371

What OpenQuestion holds

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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.