Evidence map›Paper›PMID 42032177›Full record

ArticleApplied microbiology and biotechnology2026

Piezoelectric cold atmospheric plasma inactivates dairy cattle bacteria and potentiates antibiotics in vitro.

Jessica S Ghodke, Dayane Lemos Teixeira, Daniel Enriquez-Hidalgo, Matt J Bell, Olena Doran, Alexandros Ch Stratakos

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2026. 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

6 authors.

Jessica S GhodkeCentre for Research in Sustainable Agri-Food and Environment, School of Applied Sciences, University of the West of England, Bristol, UK.
Dayane Lemos TeixeiraAnimal and Agriculture Department, Hartpury University, Gloucester, UK.
Daniel Enriquez-HidalgoBristol Veterinary School, University of Bristol, Bristol, UK.
Matt J BellAnimal and Agriculture Department, Hartpury University, Gloucester, UK.
Olena DoranCentre for Research in Sustainable Agri-Food and Environment, School of Applied Sciences, University of the West of England, Bristol, UK.
Alexandros Ch StratakosCentre for Research in Sustainable Agri-Food and Environment, School of Applied Sciences, University of the West of England, Bristol, UK. Alexandros.stratakos@uwe.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wound infection remains a major challenge in animal health and welfare, particularly in the farm environment, where skin injuries are prone to microbial contamination. However, reliance on antibiotics increases the risks of antimicrobial resistance and drug residues in animal products. Therefore, developing effective non-antibiotic-based approaches for wound decontamination is critically important and an emerging priority. In the current study, the antimicrobial efficacy of cold atmospheric plasma (CAP) was assessed against Escherichia coli P4, Staphylococcus aureus M60, and Staphylococcus epidermidis NCTC 11047 inoculated onto a bovine collagen-elastin matrix that approximates dermal tissue. Bacterial survivors (log CFU/cm

Indexed as

Anti-Bacterial AgentsEscherichia coliPlasma GasesStaphylococcus aureusStaphylococcus epidermidisAnimalsCattleMicrobial Sensitivity TestsMicrobial ViabilityReactive Oxygen SpeciesAnti-Bacterial AgentsPlasma GasesReactive Oxygen SpeciesAntibiotic susceptibilityAntimicrobial efficacyBacterial cell integrityE. coliPiezoelectric cold plasmaS. aureusS. epidermidis

Identifiers

PMID42032177
PMCPMC13243334

What OpenQuestion holds

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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.