Evidence map›Paper›PMID 34357971›Full record

ReviewToxins2021

Biosensors for Deoxynivalenol and Zearalenone Determination in Feed Quality Control.

Krisztina Majer-Baranyi, Nóra Adányi, András Székács

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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 at 1 institution in 1 country.

Krisztina Majer-BaranyiFood Science Research Group, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Herman Ottó út 15, H-1022 Budapest, Hungary.
Nóra AdányiFood Science Research Group, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Herman Ottó út 15, H-1022 Budapest, Hungary.
András SzékácsAgro-Environmental Research Centre, Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Herman Ottó út 15, H-1022 Budapest, Hungary.ORCID 0000-0001-5816-3775
Magyar Agrár- és Élettudományi Egyetem · HU

Funding

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal NVKP_16-1-2016-0049Nemzeti Kutatási Fejlesztési és Innovációs Hivatal TKP2020-NKA 24
6 · The paper itself

Abstract

Mycotoxin contamination of cereals used for feed can cause intoxication, especially in farm animals; therefore, efficient analytical tools for the qualitative and quantitative analysis of toxic fungal metabolites in feed are required. Current trends in food/feed analysis are focusing on the application of biosensor technologies that offer fast and highly selective and sensitive detection with minimal sample treatment and reagents required. The article presents an overview of the recent progress of the development of biosensors for deoxynivalenol and zearalenone determination in cereals and feed. Novel biosensitive materials and highly sensitive detection methods applied for the sensors and the application of these sensors to food/feed products, the limit, and the time of detection are discussed.

Indexed as

Animal FeedBiosensing TechniquesFood ContaminationAnimalsEdible GrainFood AnalysisFungiFusariumMycotoxinsQuality ControlTrichothecenesZearalenonedeoxynivalenolMycotoxinsTrichothecenesZearalenoneantibodyaptamerbiosensorsdeoxynivalenolfeedimmunosensorsmolecularly imprinted polymerzearalenone

Identifiers

PMID34357971
PMCPMC8310349
OpenAlexW3184082620

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.