Evidence map›Paper›PMID 39022177›Full record

ArticleMethodsX2024

Recognition of environmental contaminant and pathogenic bacteria by means of redox potential methodology.

Eya Yakdhane, Dóra Tőzsér, Oktay Haykir, Asma Yakdhane, Sabrine Labidi, Gabriella Kiskó, László Baranyai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 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. Review
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

7 authors.

Eya YakdhaneInstitute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), Budapest 1118, Hungary.
Dóra TőzsérDepartment of Food Hygiene, University of Veterinary Medicine, H-1078 Budapest, István u. 2., Hungary.
Oktay HaykirInstitute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), Budapest 1118, Hungary.
Asma YakdhaneInstitute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), Budapest 1118, Hungary.
Sabrine LabidiInstitute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), Budapest 1118, Hungary.
Gabriella KiskóInstitute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), Budapest 1118, Hungary.
László BaranyaiInstitute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), Budapest 1118, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The time-consuming nature of culturing methods has urged the exploration of rapid modern technologies. One promising alternative utilizes redox potential, which describes the oxidative changes within complex media, indicating oxygen and nutrient consumption, as well as the production of reduced substances in the investigated biological system. Redox potential measurement can detect microbial activity within 16 h, what is significantly faster than the minimum 24 h incubation time of the reference plate counting technique. The redox potential based method can be specific with selective media, but bacterial strains have unique kinetic pattern as well. The proposed method suggests evaluation of the curve shape for the differentiation of environmental contaminant and pathogenic microbial strains. Six bacterial species were used in validation (

Indexed as

Classification of bacterial strains based on redox potential curvesEscherichiaListeriaMicrobial growth modelMultivariate classificationPseudomonasSalmonella

Identifiers

PMID39022177
PMCPMC11253682

What OpenQuestion holds

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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.