Evidence map›Paper›PMID 32326063›Full record

ReviewFoods (Basel, Switzerland)2020

Advances in Analysis and Detection of Major Mycotoxins in Foods.

Sofia Agriopoulou, Eygenia Stamatelopoulou, Theodoros Varzakas

Open access · goldAbstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
24.8field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 196 citations in OpenAlex.

  1. Article
  2. Review
  3. Biotech (Basel (Switzerland)) · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Toxins · 2025
    Article
  12. Indian journal of microbiology · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Sofia AgriopoulouDepartment of Food Science and Technology, University of the Peloponnese, Antikalamos, 24100 Kalamata, Greece.
Eygenia StamatelopoulouDepartment of Food Science and Technology, University of the Peloponnese, Antikalamos, 24100 Kalamata, Greece.
Theodoros VarzakasDepartment of Food Science and Technology, University of the Peloponnese, Antikalamos, 24100 Kalamata, Greece.
Technological Educational Institute of Peloponnese · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycotoxins are the most widely studied biological toxins, which contaminate foods at very low concentrations. This review describes the emerging extraction techniques and the current and alternatives analytical techniques and methods that have been used to successfully detect and identify important mycotoxins. Some of them have proven to be particularly effective in not only the detection of mycotoxins, but also in detecting mycotoxin-producing fungi. Chromatographic techniques such as high-performance liquid chromatography coupled with various detectors like fluorescence, diode array, UV, liquid chromatography coupled with mass spectrometry, and liquid chromatography-tandem mass spectrometry, have been powerful tools for analyzing and detecting major mycotoxins. Recent progress of the development of rapid immunoaffinity-based detection techniques such as immunoassays and biosensors, as well as emerging technologies like proteomic and genomic methods, molecular techniques, electronic nose, aggregation-induced emission dye, quantitative NMR and hyperspectral imaging for the detection of mycotoxins in foods, have also been presented.

Indexed as

analysisaptamerbiosensorsdetectionelectronic nosehyperspectral imagingLC–MS/MSmycotoxinsquantitative NMRsample preparation

Identifiers

PMID32326063
PMCPMC7230321
OpenAlexW3016428850

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.