Evidence map›Paper›PMID 39597639›Full record

ArticleMicroorganisms2024

Direct Discrimination and Growth Estimation of Foodborne Bacteria in Raw Meat Using Electronic Nose.

Wellington Belarmino Gonçalves, Wanderson Sirley Reis Teixeira, Aryele Nunes da Cruz Encide Sampaio, Otávio Augusto Martins, Evelyn Perez Cervantes, Mateus de Souza Ribeiro Mioni, Jonas Gruber, Juliano Gonçalves Pereira

Abstract read
In one paragraph

Article in Microorganisms, 2024. 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

8 authors.

Wellington Belarmino GonçalvesDepartamento de Química Fundamental, Instituto de Química, Universidade de São Paulo, Av. Prof Lineu Prestes, 748, São Paulo 05508-000, SP, Brazil.ORCID 0000-0002-4768-0803
Wanderson Sirley Reis TeixeiraFaculdade de Medicina Veterinária e Zootecnia, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu 18618-681, SP, Brazil.
Aryele Nunes da Cruz Encide SampaioFaculdade de Medicina Veterinária e Zootecnia, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu 18618-681, SP, Brazil.ORCID 0000-0003-3648-2382
Otávio Augusto MartinsFaculdade de Medicina Veterinária e Zootecnia, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu 18618-681, SP, Brazil.
Evelyn Perez CervantesInstituto de Matemática e Estatística, Universidade de São Paulo, São Paulo 05508-090, SP, Brazil.
Mateus de Souza Ribeiro MioniDepartamento de Patologia, Reprodução e Saúde Única, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Jaboticabal 14884-900, SP, Brazil.ORCID 0000-0001-7886-1570
Jonas GruberDepartamento de Química Fundamental, Instituto de Química, Universidade de São Paulo, Av. Prof Lineu Prestes, 748, São Paulo 05508-000, SP, Brazil.ORCID 0000-0003-2832-0199
Juliano Gonçalves PereiraFaculdade de Medicina Veterinária e Zootecnia, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Botucatu 18618-681, SP, Brazil.ORCID 0000-0002-8713-7506

Funding

Brazilian National Council for Scientific and Technological Development (CNPq) 165186/2015-1, 307501/2019-1, 424027/2018-6Brazilian National Council for Scientific and Technological Development (CNPq) 310048/2022
6 · The paper itself

Abstract

Evaluation concerning the presence of bacteria in meat products is mandatory for commercializing these goods. Although food bacteria detection is based on microbiological methods, these assays are usually laborious and time-consuming. In this paper, an electronic nose is used to differentiate

Indexed as

electronic nosefoodborne bacteriafood safetymachine learningmeatmicrobiology

Identifiers

PMID39597639
PMCPMC11596726

What OpenQuestion holds

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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.