Evidence map›Paper›PMID 34361424›Full record

ArticleMaterials (Basel, Switzerland)2021

A Novel Method for the Detection of SARS-CoV-2 Based on Graphene-Impedimetric Immunosensor.

Gabriel C Zaccariotto, Martin K L Silva, Giovanna S Rocha, Ivana Cesarino

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  5. Two-Dimensional (2D) materials in the detection of SARS-CoV-2.Microchemical journal : devoted to the application of microtechniques in all branches of science · 2023
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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

4 authors at 1 institution in 1 country.

Gabriel C ZaccariottoDepartment of Bioprocesses and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil.ORCID 0000-0001-5033-1535
Martin K L SilvaDepartment of Bioprocesses and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil.ORCID 0000-0003-2410-9716
Giovanna S RochaDepartment of Bioprocesses and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil.
Ivana CesarinoDepartment of Bioprocesses and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil.ORCID 0000-0002-2296-3671
Universidade Estadual Paulista (Unesp) · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 440158/2020-6Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/24274-3
6 · The paper itself

Abstract

Due to the SARS-CoV-2 pandemic, there has been an increase in the search for affordable healthcare devices for mass testing and rapid diagnosis. In this context, this work described a new methodology for SARS-CoV-2 detection based on an impedimetric immunosensor developed using the advantageous immobilization of antibodies in the reduced graphene oxide (rGO). The rGO was obtained by chemical synthesis from the commercial graphene oxide (GO), and the materials were morphologically, electrochemically and visually characterized. The cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) techniques were used to evaluate the fabrication steps of the immunosensor. The electrochemical immunoassay was considered for SARS-CoV-2 spike protein RBD detection using a impedimetric immunosensor and redox couple ([(Fe(CN)

Indexed as

COVID-19electrochemical sensorreduced graphene oxideSARS-CoV-2

Identifiers

PMID34361424
PMCPMC8348628
OpenAlexW3186550859

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.