Evidence map›Paper›PMID 33715621›Full record

ArticleBMC microbiology2021

Molecular and HPLC-based approaches for detection of aflatoxin B

Abdelazeem M Algammal, Mahmoud E Elsayed, Hany R Hashem, Hazem Ramadan, Norhan S Sheraba, Eman M El-Diasty, Sarah M Abbas, Helal F Hetta

Abstract read
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  7. Phylogeny ofMycology · 2025
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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

8 authors.

Abdelazeem M AlgammalDepartment of Bacteriology, Immunology and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt. abdelazeem.algammal@vet.suez.edu.eg.ORCID 0000-0001-5580-1559
Mahmoud E ElsayedDepartment of Bacteriology, Immunology and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt. mahmoud_elsayed@vet.suez.edu.eg.
Hany R HashemDepartment of Microbiology and Immunology, Faculty of Pharmacy, Fayoum University, Fayoum, 63514, Egypt.
Hazem RamadanHygiene and Zoonoses Department, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt.
Norhan S SherabaVACSERA, The Holding Company for Biological Products and Vaccines, Giza, 12511, Egypt.
Eman M El-DiastyAnimal Health Research Institute, Dokki, Giza, 12618, Egypt.
Sarah M AbbasAnimal Health Research Institute, Dokki, Giza, 12618, Egypt.
Helal F HettaDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Assuit University, Assuit, 71515, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeat-products are considered an enriched media for mycotoxins. This study aimed to investigate the prevalence of toxigenic Aspergillus species in processed meat samples, HPLC-quantitative measurement of aflatoxin B

resultsThe total mold count obtained from sausage samples was the highest one, followed by minced meat samples. The prevalence of A. flavus was (15%), (7.5%), and (10%), while the prevalence of A. ochraceus was (2.5%), (10%), and (0%) in the examined basterma, sausage, and minced meat samples, respectively. Using PCR, the ITS region was successfully amplified in all the tested A. flavus and A. ochraceus strains. Aflatoxin B

conclusionsTo the best of our knowledge, this is the first report concerning the HPLC-Molecular-based approaches for the detection of aflatoxin B

Indexed as

Chromatography, High Pressure LiquidAflatoxin B1AnimalsAspergillusFood AnalysisFood MicrobiologyMeat ProductsOchratoxinsAflatoxin B1ochratoxin AOchratoxinsAflatoxin B1A. flavusA. ochraceusGene sequencingMeat-products, HPLCOchratoxin A

Identifiers

PMID33715621
PMCPMC7956122

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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.