Evidence map›Paper›PMID 34337207›Full record

ArticleACS omega2021

Validation of a Simple and Reliable Method for the Determination of Aflatoxins in Soil and Food Matrices.

Julius Albert, Camilla A More, Niklaus R P Dahlke, Zacharias Steinmetz, Gabriele E Schaumann, Katherine Muñoz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2021. 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. Review
  2. Article
  3. Article
  4. Toxins · 2022
    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

6 authors.

Julius AlbertiES Landau, Institute for Environmental Sciences, Group of Organic and Ecological Chemistry, University of Koblenz-Landau, Fortstraße 7, 76829 Landau, Germany.ORCID https://orcid.org/0000-0001-5468-6069
Camilla A MoreiES Landau, Institute for Environmental Sciences, Group of Organic and Ecological Chemistry, University of Koblenz-Landau, Fortstraße 7, 76829 Landau, Germany.
Niklaus R P DahlkeiES Landau, Institute for Environmental Sciences, Group of Organic and Ecological Chemistry, University of Koblenz-Landau, Fortstraße 7, 76829 Landau, Germany.
Zacharias SteinmetziES Landau, Institute for Environmental Sciences, Group of Environmental and Soil Chemistry, University of Koblenz-Landau, Fortstraße 7, 76829 Landau, Germany.ORCID https://orcid.org/0000-0001-6675-5033
Gabriele E SchaumanniES Landau, Institute for Environmental Sciences, Group of Environmental and Soil Chemistry, University of Koblenz-Landau, Fortstraße 7, 76829 Landau, Germany.ORCID https://orcid.org/0000-0003-1788-2751
Katherine MuñoziES Landau, Institute for Environmental Sciences, Group of Organic and Ecological Chemistry, University of Koblenz-Landau, Fortstraße 7, 76829 Landau, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aflatoxins (AFs) are toxic fungal secondary metabolites that are commonly detected in food commodities. Currently, there is a lack of generic methods capable of determining AFs both at postharvest stages in agricultural products and preharvest stages, namely, the agricultural soil. Here, we present a simple and reliable method for quantitative analysis of AFs in soil and food matrices at environmentally relevant concentrations for the first time, using the same extraction procedure and chromatography, either by HPLC-FLD or LC-MS. AFs were extracted from matrices by ultrasonication using an acetonitrile/water mixture (84:16, v + v) without extensive and time-consuming cleanup procedures. Food extracts were defatted with

Identifiers

PMID34337207
PMCPMC8319938

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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.