Evidence map›Paper›PMID 41948464›Full record

ArticlePeerJ2026

Effective degradation of zearalenone by multiple microbial isolates.

Mbalenhle Ncongwane, Samkeliso Takaidza, Patience Chihomvu, Tharsius Raja William Raja, Michael Pillay

Abstract read
In one paragraph

Article in PeerJ, 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

5 authors.

Mbalenhle NcongwaneDepartment of Natural Sciences, Vaal University of Technology, Vanderbijlpark, Gauteng, South Africa.
Samkeliso TakaidzaDepartment of Natural Sciences, Vaal University of Technology, Vanderbijlpark, Gauteng, South Africa.
Patience ChihomvuDepartment of Natural Sciences, Vaal University of Technology, Vanderbijlpark, Gauteng, South Africa.
Tharsius Raja William RajaDepartment of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Florida, Gauteng, South Africa.
Michael PillayDepartment of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Florida, Gauteng, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zearalenone (ZEN) is an estrogenic mycotoxin synthesized by specific fungal species that frequently colonize cereal crops such as maize, which is a fundamental component of animal feed. This mycotoxin induces significant reproductive disorders in swine and other livestock, resulting in considerable economic loss in the animal husbandry sector. ZEN contamination has emerged as a critical issue concerning global food and feed safety. The objective of this research was to isolate and characterize microorganisms from samples that can effectively detoxify ZEN. The samples were from six distinct sources: porcine feces, piggery soil, avian intestines, unpasteurized bovine milk, and feed that was left to mold. The spread plate technique was used to culture the samples and obtain pure cultures. The samples were identified by bacterial morphology and 16S rRNA gene sequencing. All the bacterial isolates identified in this study exhibited mycotoxin-degrading capabilities and included known ZEN-degrading species,

Indexed as

Bacillus subtilisBacteriaZearalenoneAnimal FeedAnimalsBacillus amyloliquefaciensBiodegradation, EnvironmentalCattleFecesMilkRNA, Ribosomal, 16SSoil MicrobiologySwineRNA, Ribosomal, 16SZearalenoneBacteriaDeDetoxifyEconomic lossesFeedMycotoxinsZearalenone (ZEN)

Identifiers

PMID41948464
PMCPMC13052100

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.