Evidence map›Paper›PMID 35622562›Full record

ArticleToxins2022

Simultaneous Determination of 15 Mycotoxins in Aquaculture Feed by Liquid Chromatography-Tandem Mass Spectrometry.

Beatriz Albero, María Luisa Fernández-Cruz, Rosa Ana Pérez

Abstract read
In one paragraph

Article in Toxins, 2022. 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
–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

7 citing papers in PubMed.

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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.

Beatriz AlberoDepartment of Environment and Agronomy, National Institute for Agricultural and Food Research and Technology (INIA), Spanish National Research Council (CSIC), 28040 Madrid, Spain.ORCID 0000-0002-6470-5232
María Luisa Fernández-CruzDepartment of Environment and Agronomy, National Institute for Agricultural and Food Research and Technology (INIA), Spanish National Research Council (CSIC), 28040 Madrid, Spain.ORCID 0000-0001-5988-1939
Rosa Ana PérezDepartment of Environment and Agronomy, National Institute for Agricultural and Food Research and Technology (INIA), Spanish National Research Council (CSIC), 28040 Madrid, Spain.ORCID 0000-0001-8076-9167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of plant-based fish feed may increase the risk of contamination by mycotoxins. The multiresidue analysis of mycotoxins in fish feed presents many difficulties due to the complexity of the matrix, the different characteristics of the compounds, and their presence in highly different concentration levels. The aim of this study was to develop a selective, sensitive, and efficient analytical method for the simultaneous determination of 15 mycotoxins (regulated and emerging mycotoxins) in aquaculture feed by LC-MS/MS. Sample extraction was performed with ultrasonic assistance, and different cleanup strategies were evaluated. The optimized method was composed by ultrasound-assisted extraction (two cycles, 55 °C, 20 min), followed by cleanup using a Captiva EMR Lipid cartridge. Then, nine commercial samples of aquaculture fish feed were analyzed. Eight of the 15 target mycotoxins were detected in the samples. Results showed that two enniatins (EENB and ENNB1), beauvericin, and fumonisin B2 were detected in all samples. These results show the multi-mycotoxin contamination of fish feed, highlighting the need to improve current knowledge on the occurrence and toxicity of mycotoxins in fish feed, mainly the emerging ones.

Indexed as

MycotoxinsAnimalsAquacultureChromatography, LiquidDrug ContaminationTandem Mass SpectrometryMycotoxinsanalysisbeauvericinenniatinsfish feedfumonisinmultiresidue

Identifiers

PMID35622562
PMCPMC9143405

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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.