Evidence map›Paper›PMID 37746116›Full record

ArticleFrontiers in fungal biology2023

Development and validation of a QuEChERS-LC-MS/MS method for determination of multiple mycotoxins in maize and sorghum from Botswana.

Mesha Mbisana, Tshepho Rebagamang, Dikabo Mogopodi, Inonge Chibua

Open access · goldAbstract read
In one paragraph

Article in Frontiers in fungal biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.6field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. ZrOToxins · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Mesha MbisanaLaboratory of Analytical Chemistry, Department of Chemistry, Faculty of Science, University of Botswana, Gaborone, Botswana.
Tshepho RebagamangResidues, Botswana National Veterinary Laboratory, Gaborone, Botswana.
Dikabo MogopodiLaboratory of Analytical Chemistry, Department of Chemistry, Faculty of Science, University of Botswana, Gaborone, Botswana.
Inonge ChibuaLaboratory of Analytical Chemistry, Department of Chemistry, Faculty of Science, University of Botswana, Gaborone, Botswana.
University of Botswana · BW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climatic conditions such as drought, high temperatures, and pre-harvest rainfalls promote the occurrence of mycotoxins in grains. Contamination of staple food sources such as maize and sorghum means that many populations are at risk of being poisoned by mycotoxins. Hence the need for sensitive methods for their simultaneous analysis. Herein, a quick, easy, cheap, effective, rugged, and safe liquid chromatography tandem mass spectrometry (QuEChERS-LC-MS/MS) method for the simultaneous determination of ten mycotoxins in maize and sorghum is presented. The QuEChERS extraction procedure was optimized to maximize extraction recovery and minimize matrix effects while using relatively small quantities of organic solvents and acids. This method was validated according to Commission Implementing Regulation (EU) 2021/808, Commission Regulation (EC) No 1881/2006, and Regulation (EC) no. 401/2006. The developed method met the specified requirements. Recoveries of 80.77% to 109.83% and CVs below 15% were obtained. The correlation coefficient values (R

Indexed as

food safetymaizemethod developmentmultiple mycotoxinsQuEChERS-LC-MS/MSsorghum

Identifiers

PMID37746116
PMCPMC10512389
OpenAlexW4385507334

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.