Evidence map›Paper›PMID 40136961›Full record

ArticleBiosensors2025

Detection of IgG Antibodies Against COVID-19 N-Protein by Hybrid Graphene-Nanorod Sensor.

R V A Boaventura, C L Pereira, C Junqueira, K B Gonçalves, N P Rezende, I A Borges, R C Barcelos, F B Oréfice, F F Bagno, F G Fonseca and 3 more

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. 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

13 authors.

R V A BoaventuraPhysics Department, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.
C L PereiraPhysics Department, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.
C JunqueiraCTNano, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.
K B GonçalvesPhysics Department, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.
N P RezendePhysics Department, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.
I A BorgesCTNano, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.
R C BarcelosChemistry Department, Federal University of São João del-Rei (UFSJ), Divinópolis 35500-008, MG, Brazil.
F B OréficePhysics Department, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.ORCID 0009-0006-6901-092X
F F BagnoVaccine Technology Center (CT Vacinas), BH-Tec, UFMG, Belo Horizonte 31270, MG, Brazil.ORCID 0000-0003-1578-6678
F G FonsecaMicrobiology Department, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.ORCID 0000-0002-1416-8694
A CorrêaCTNano, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.
L S GomesPhysics Department, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.ORCID 0000-0002-4031-558X
R G LacerdaPhysics Department, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270, MG, Brazil.ORCID 0000-0003-4777-7370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic highlighted the global necessity to develop fast, affordable, and user-friendly diagnostic alternatives. Alongside recognized tests such as ELISA, nanotechnologies have since been explored for direct and indirect diagnosis of SARS-CoV-2, the etiological agent of COVID-19. Accordingly, in this work, we report a method to detect anti-SARS-CoV-2 antibodies based on graphene-based field-effect transistors (GFETs), using a nanostructured platform of graphene with added gold nanorods (GNRs) and a specific viral protein. To detect anti-N-protein IgG antibodies for COVID-19 in human sera, gold nanorods were functionalized with the nucleocapsid (N) protein of SARS-CoV-2, and subsequently deposited onto graphene devices. Our test results demonstrate that the sensor is highly sensitive and can detect antibody concentrations as low as 100 pg/mL. Using the sensor to test human sera that were previously diagnosed with ELISA showed a 90% accuracy rate compared to the ELISA results, with the test completed in under 15 min. Integrating graphene and nanorods eliminates the need for a blocker, simplifying sensor fabrication. This hybrid sensor holds robust potential to serve as a simple and efficient point-of-care platform.

Indexed as

Antibodies, ViralBiosensing TechniquesCoronavirus Nucleocapsid ProteinsCOVID-19Immunoglobulin GNanotubesSARS-CoV-2Enzyme-Linked Immunosorbent AssayGoldGraphiteHumansPhosphoproteinsTransistors, ElectronicAntibodies, ViralCoronavirus Nucleocapsid ProteinsGoldGraphiteImmunoglobulin Gnucleocapsid phosphoprotein, SARS-CoV-2Phosphoproteinsbiosensorgold nanorodgraphenetransistor

Identifiers

PMID40136961
PMCPMC11940001

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LicenceCC BY
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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.