The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Zearalenone and its metabolites: Effect on human health, metabolism and neutralisation methods
Abstract
Mycotoxins are natural compounds produced as secondary metabolites by mold fungi belonging mainly to the Fusarium family, commonly found on plants such as corn or small grains in the temperate climate zone. One of these mycotoxins is zearalenone, which is classified as a xenoestrogen, an exogenous compound which resembles the structure of naturally occurring estrogens with its chemical structure. This property of zearalenone determines its ability to bind to estrogen receptors of cell and its bioaccumulation. This leads to disorders of the hormonal balance of the body, which in consequence may lead to numerous diseases of reproductive system such as prostate, ovarian, cervical or breast cancers. High risk posed by long-term exposure to contaminated food forces the modern science to develop and implement effective methods of zearalenone neutralisation. This work is a review of current state of knowledge on toxic effects of zearalenone, its metabolism in biological systems and proposed methods of its neutralisation.
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Mycotoxin detoxication of animal feed by different adsorbents
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Surface Binding of Aflatoxin B 1 by Lactic Acid Bacteria
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Ability of dairy strains of lactic acid bacteria to bind a common food carcinogen, aflatoxin B1
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Metadata
- Authors
- Rogowska, A., Pomastowski, P., Sagandykova, G., & Buszewski, B.
- Venue
- Toxicon
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 162
- Pages
- 46-56
- ISSN
- 0041-0101 (ISSN-L)
- OpenAlex
- W2922390929
- Cited by
- 299
- References
- 82
- FWCI
- 24.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rogowska, A., Pomastowski, P., Sagandykova, G., & Buszewski, B. (2019). Zearalenone and its metabolites: Effect on human health, metabolism and neutralisation methods. Toxicon. https://doi.org/10.1016/j.toxicon.2019.03.004
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.