Evidence map›Paper›PMID 39023737›Full record

ArticleMycotoxin research2024

Mycotoxigenic Fusarium species and zearalenone concentration in commercial maize kernels in northern Ghana.

Nelson Opoku, Abdul Rashid Hudu, Francis Addy

Abstract read
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In one paragraph

Article in Mycotoxin research, 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. Identification ofPlant-environment interactions (Hoboken, N.J.) · 2025
    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

3 authors.

Nelson OpokuDepartment of Biotechnology and Molecular Biology, Faculty of Biosciences, University for Development Studies, Nyankpala, Tamale, Ghana. nopoku@uds.edu.gh.ORCID http://orcid.org/0000-0002-6691-8178
Abdul Rashid HuduDepartment of Agricultural Biotechnology, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Nyankpala, Tamale, Ghana.
Francis AddyDepartment of Biotechnology and Molecular Biology, Faculty of Biosciences, University for Development Studies, Nyankpala, Tamale, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fungal genus Fusarium contains many toxigenic pathogens of maize with associated yield losses, reduction of grain quality, and accumulation of mycotoxins in harvested grains. To determine zearalenone (ZEN) concentration and identify the various Fusarium species in commercial maize grains, a survey of 75 maize samples, collected from 11 market centers in the five regions in northern Ghana was identified based on morphological characteristics, sequence analysis of the internal transcribed spacer region, and polymerase chain reaction using species-specific primers. ZEN levels were determined using HPLC. ZEN contamination was recorded in 33.3% of the maize samples, with concentrations ranging from 0.61 to 3.05 µg/kg. Based on VERT1/2 and TEF 1-α sequencing, F. verticillioides was the most prevalent species in the studied samples: 40.35% from the Upper East Region, 28.07% from the North East Region, 19.30% from the Upper West Region, 10.53% from the Savannah Region, and 1.75% for the Northern Region. Other fungal species found were F. equiseti and F. solani. A higher number of the Fusarium isolates were found in white maize (609 isolates from 27 samples) compared to yellow maize (225 isolates from 23 samples).

Indexed as

FusariumZea maysZearalenoneChromatography, High Pressure LiquidDNA, FungalDNA, Ribosomal SpacerFood ContaminationGhanaPolymerase Chain ReactionSequence Analysis, DNADNA, FungalDNA, Ribosomal SpacerZearalenoneCommercial maizeCTAB methodFusarium speciesNorthern GhanaPathogen

Identifiers

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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.