Evidence map›Paper›PMID 34031846›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2021

Modelling the growth of Staphylococcus aureus on cooked broccoli under isothermal conditions.

Caroline Isabel Kothe, Béatrice Laroche, Patrícia da Silva Malheiros, Eduardo Cesar Tondo

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2021. 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
0.6field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Optimization and evaluation of a multiplex PCR assay for detection of Staphylococcus aureus and its major virulence genes for assessing food safety.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    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

4 authors at 2 institutions in 2 countries.

Caroline Isabel KotheDepartment of Food Sciences, Institute of Food Science and Technology, Federal University of Rio Grande do Sul (ICTA/UFRGS), Porto Alegre, Rio Grande do Sul, Brazil. carolkothe@hotmail.com.ORCID http://orcid.org/0000-0003-3703-5699
Béatrice LarocheUniversité Paris-Saclay, INRAE, MaIAGE, 78350, Jouy-en-Josas, France.ORCID https://orcid.org/0000-0001-7821-332X
Patrícia da Silva MalheirosDepartment of Food Sciences, Institute of Food Science and Technology, Federal University of Rio Grande do Sul (ICTA/UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0002-0530-0884
Eduardo Cesar TondoDepartment of Food Sciences, Institute of Food Science and Technology, Federal University of Rio Grande do Sul (ICTA/UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0001-6956-2827
Universidade Federal do Rio Grande do Sul · BRUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we developed predictive models describing the growth of Staphylococcus aureus on cooked broccoli florets. A pool of 3.5 log CFU/g of five S. aureus strains were inoculated on 10 g broccoli portions. The samples were then stored at 10, 20, 30 and 37 °C, and colonies were enumerated at different time intervals. Baranyi and Roberts model was fitted to the data using a Bayesian Adaptive Markov Chain Monte Carlo for estimation of the growth parameters. S. aureus showed low growth at 10 °C on broccoli samples and at 20-37 °C interval, Baranyi and Roberts model fitted well to the experimental data (R

Indexed as

BrassicaFood MicrobiologyBayes TheoremColony Count, MicrobialMarkov ChainsMonte Carlo MethodStaphylococcus aureusTemperatureVegetablesFood safetyPathogenPredictive modellingTemperatureVegetable

Identifiers

PMID34031846
PMCPMC8324667
OpenAlexW3164107963

What OpenQuestion holds

Textmetadata
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.