Evidence map›Paper›PMID 39852085›Full record

ArticleBiosensors2025

Carboxylated Graphene: An Innovative Approach to Enhanced IgA-SARS-CoV-2 Electrochemical Biosensing.

Luciana de Souza Freire, Ariamna María Dip Gandarilla, Yonny Romaguera Barcelay, Camila Macena Ruzo, Barbara Batista Salgado, Ana P M Tavares, Francisco Xavier Nobre, Julio Nino de Souza Neto, Spartaco Astolfi-Filho, Ștefan Țălu 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Luciana de Souza FreireLABEL-Laboratório de Bioeletrônica e Eletroanalítica, Central Analítica Multidisciplinar, Universidade Federal do Amazonas, Manaus 69067-005, Amazonas, Brazil.
Ariamna María Dip GandarillaLABEL-Laboratório de Bioeletrônica e Eletroanalítica, Central Analítica Multidisciplinar, Universidade Federal do Amazonas, Manaus 69067-005, Amazonas, Brazil.
Yonny Romaguera BarcelayLABEL-Laboratório de Bioeletrônica e Eletroanalítica, Central Analítica Multidisciplinar, Universidade Federal do Amazonas, Manaus 69067-005, Amazonas, Brazil.ORCID 0000-0002-8091-1212
Camila Macena RuzoLABEL-Laboratório de Bioeletrônica e Eletroanalítica, Central Analítica Multidisciplinar, Universidade Federal do Amazonas, Manaus 69067-005, Amazonas, Brazil.
Barbara Batista SalgadoInstituto Leônidas e Maria Deane (ILMD), Fiocruz Amazônia, Manaus 69029-520, Amazonas, Brazil.ORCID 0000-0002-5318-1680
Ana P M TavaresCENTI, Centro de Nanotecnologia e Materiais Técnicos, Funcionais e Inteligentes, R. Fernando Mesquita 2785, 4760-034 Vila Nova de Famalicão, Portugal.
Francisco Xavier NobreGroup of Energy Resources and Nanomaterials (GREEN Group), Department of Chemistry, Environment, and Food (DQA), Federal Institute of Education, Science and Technology of Amazonas, Campus Manaus Centro, Manaus 69020-120, Amazonas, Brazil.ORCID 0000-0002-0883-3651
Julio Nino de Souza NetoPPGBIOTEC-Programa de Pós-Graduação em Biotecnologia, Universidade Federal do Amazonas, Manaus 69067-005, Amazonas, Brazil.
Spartaco Astolfi-FilhoPPGBIOTEC-Programa de Pós-Graduação em Biotecnologia, Universidade Federal do Amazonas, Manaus 69067-005, Amazonas, Brazil.ORCID 0000-0001-7246-6350
Ștefan ȚăluThe Directorate of Research, Development and Innovation Management (DMCDI), The Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania.ORCID 0000-0003-1311-7657
Pritesh LalwaniInstituto Leônidas e Maria Deane (ILMD), Fiocruz Amazônia, Manaus 69029-520, Amazonas, Brazil.ORCID 0000-0003-2996-0446
Niranjan PatraDepartment of Chemistry, Koneru Lakshmaiah Education Foundation, Greenfield, Vaddeswaram 522502, Andhra Pradesh, India.ORCID 0000-0003-3941-5345
Walter Ricardo BritoLABEL-Laboratório de Bioeletrônica e Eletroanalítica, Central Analítica Multidisciplinar, Universidade Federal do Amazonas, Manaus 69067-005, Amazonas, Brazil.ORCID 0000-0002-6493-0237

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 400 (CAPES) for their financial support [8888.452396/20019-01Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM) 45141.UNI767.19114.15072019]
6 · The paper itself

Abstract

Biosensors harness biological materials as receptors linked to transducers, enabling the capture and transformation of primary biorecognition signals into measurable outputs. This study presents a novel carboxylation method for synthesizing carboxylated graphene (CG) under acidic conditions, enhancing biosensing capabilities. The characterization of the CG was performed using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), Raman spectroscopy, thermogravimetric analysis (TGA), and X-ray diffraction (XRD). We modified screen-printed carbon electrodes (SPCEs) with CG to immobilize the SARS-CoV-2 N-protein, facilitating targeted detection of IgA antibodies (IgA-SARS-CoV-2). The analytical performance was assessed via electrochemical techniques such as cyclic voltammetry and electrochemical impedance spectroscopy, confirming CG synthesis effectiveness and biosensor functionality. The developed biosensor efficiently detects IgA-SARS-CoV-2 across a dilution range of 1:1000 to 1:200

Indexed as

Antibodies, ViralBiosensing TechniquesCOVID-19Electrochemical TechniquesGraphiteImmunoglobulin ASARS-CoV-2ElectrodesHumansLimit of DetectionAntibodies, ViralGraphiteImmunoglobulin Acarboxylated grapheneCOVID-19electrochemical biosensorsIgA-SARS-CoV-2screen-printed carbon electrodes

Identifiers

PMID39852085
PMCPMC11764328

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.