Evidence map›Paper›PMID 30717215›Full record

ArticleToxins2019

Investigation of the Metabolic Profile and Toxigenic Variability of Fungal Species Occurring in Fermented Foods and Beverage from Nigeria and South Africa Using UPLC-MS/MS.

Ifeoluwa Adekoya, Patrick Njobeh, Adewale Obadina, Sofie Landschoot, Kris Audenaert, Sheila Okoth, Marthe De Boevre, Sarah De Saeger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxins, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

8 authors.

Ifeoluwa AdekoyaDepartment of Biotechnology and Food Technology, University of Johannesburg, Doornfontein 2092, South Africa. olotu.ifeoluwa@gmail.com.ORCID 0000-0002-7324-970X
Patrick NjobehDepartment of Biotechnology and Food Technology, University of Johannesburg, Doornfontein 2092, South Africa. pnjobeh@uj.ac.za.ORCID 0000-0001-5193-3650
Adewale ObadinaDepartment of Food Science and Technology, Federal University of Agriculture, PMB, 2240 Abeokuta, Nigeria. obadinaw@gmail.com.
Sofie LandschootDepartment of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Valentin Vaerwyckweg 1, B-9000 Ghent, Belgium. Sofie.Landschoot@ugent.be.ORCID 0000-0003-1165-9831
Kris AudenaertLaboratory of Applied Mycology and Phenomics, Department of Plants and Crops, Ghent University, B-9000 Ghent, Belgium. Kris.Audenaert@ugent.be.ORCID 0000-0002-8791-1282
Sheila OkothDepartment of Botany, School of Biological Sciences, University of Nairobi, P.O. Box, Nairobi 30197, Kenya. dorisokoth@yahoo.com.ORCID 0000-0002-7803-0301
Marthe De BoevreCentre of Excellence in Mycotoxicology and Public Health, Ghent University, B-9000 Ghent, Belgium. Marthe.DeBoevre@ugent.be.ORCID 0000-0002-6151-5126
Sarah De SaegerCentre of Excellence in Mycotoxicology and Public Health, Ghent University, B-9000 Ghent, Belgium. Sarah.Desaeger@ugent.be.ORCID 0000-0002-2160-7253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal species recovered from fermented foods and beverage from Nigeria and South Africa were studied to establish their toxigenic potential in producing an array of secondary metabolites including mycotoxins (

Indexed as

BeveragesChromatography, High Pressure LiquidFermented FoodsFungiMycotoxinsNigeriaSecondary MetabolismSouth AfricaTandem Mass SpectrometryMycotoxinsAspergillusfermented foodsmetabolitesmycotoxinstoxigenicityUPLC-MS/MS

Identifiers

PMID30717215
PMCPMC6409632

What OpenQuestion holds

Textmetadata
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.