Evidence map›Paper›PMID 39727857›Full record

ArticleBiosensors2024

Impedimetric Sensor for SARS-CoV-2 Spike Protein Detection: Performance Assessment with an ACE2 Peptide-Mimic/Graphite Interface.

Diego Quezada, Beatriz Herrera, Rodrigo Santibáñez, Juan Luis Palma, Esteban Landaeta, Claudio A Álvarez, Santiago Valenzuela, Kevin Cobos-Montes, David Ramírez, Paula A Santana and 1 more

Abstract read
In one paragraph

Article in Biosensors, 2024. 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

11 authors.

Diego QuezadaInstituto de Ciencias Aplicadas, Facultad de Ingeniería, Universidad Autónoma de Chile, el Llano Subercaseaux 2801, San Miguel, Santiago 8910060, Chile.ORCID 0009-0003-0231-5866
Beatriz HerreraInstituto de Ciencias Aplicadas, Facultad de Ingeniería, Universidad Autónoma de Chile, el Llano Subercaseaux 2801, San Miguel, Santiago 8910060, Chile.
Rodrigo SantibáñezInstituto de Ciencias Aplicadas, Facultad de Ingeniería, Universidad Autónoma de Chile, el Llano Subercaseaux 2801, San Miguel, Santiago 8910060, Chile.
Juan Luis PalmaSchool of Engineering, Universidad Central de Chile, Santiago 8330601, Chile.ORCID 0000-0003-2068-174X
Esteban LandaetaSchool of Engineering, Universidad Central de Chile, Santiago 8330601, Chile.
Claudio A ÁlvarezLaboratorio de Cultivo de Peces, Departamento de Acuicultura, Universidad Católica del Norte, Coquimbo 1781421, Chile.ORCID 0000-0003-3132-2187
Santiago ValenzuelaInstituto de Ciencias Aplicadas, Facultad de Ingeniería, Universidad Autónoma de Chile, el Llano Subercaseaux 2801, San Miguel, Santiago 8910060, Chile.ORCID 0009-0003-4136-2745
Kevin Cobos-MontesDepartamento de Ciencias Químicas, Facultad de Ciencias Exactas, Universidad Andrés Bello, Sede Concepción, Talcahuano 4260000, Chile.ORCID 0009-0000-5415-2964
David RamírezDepartamento de Farmacología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción 4030000, Chile.ORCID 0000-0003-0002-1189
Paula A SantanaInstituto de Ciencias Aplicadas, Facultad de Ingeniería, Universidad Autónoma de Chile, el Llano Subercaseaux 2801, San Miguel, Santiago 8910060, Chile.ORCID 0000-0002-5742-4926
Manuel AhumadaEscuela de Biotecnología, Facultad de Ciencias, Ingeniería y Tecnología, Universidad Mayor, Camino La Pirámide 5750, Huechuraba, Santiago 8580745, Chile.ORCID 0000-0002-0589-3296

Funding

ANID covbio0011ANID-FONDECYT 11220512ANID-FONDEQUIP EQM210088CEDENNA AFB220001DIUA 208-2021
6 · The paper itself

Abstract

The COVID-19 pandemic has prompted the need for the development of new biosensors for SARS-CoV-2 detection. Particularly, systems with qualities such as sensitivity, fast detection, appropriate to large-scale analysis, and applicable in situ, avoiding using specific materials or personnel to undergo the test, are highly desirable. In this regard, developing an electrochemical biosensor based on peptides derived from the angiotensin-converting enzyme receptor 2 (ACE2) is a possible answer. To this end, an impedimetric detector was developed based on a graphite electrode surface modified with an ACE2 peptide-mimic. This sensor enables accurate quantification of recombinant 2019-nCoV spike RBD protein (used as a model analyte) within a linear detection range of 0.167-0.994 ng mL

Indexed as

Angiotensin-Converting Enzyme 2Biosensing TechniquesCOVID-19GraphiteSARS-CoV-2Spike Glycoprotein, CoronavirusElectrochemical TechniquesElectrodesHumansLimit of DetectionPeptidesACE2 protein, humanAngiotensin-Converting Enzyme 2GraphitePeptidesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ACE2 peptide-mimicbiosensorsgraphite surfaceimpedimetric detectionspike protein detection

Identifiers

PMID39727857
PMCPMC11674363

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.