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Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon
The present study aimed to identify mycotoxins in edible tissues of Atlantic salmon (Salmo salar) using liquid chromatography coupled to hybrid quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS). After using a non-targeted screening approach and a home-made spectral library, 233 mycotoxins we...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764005/ https://www.ncbi.nlm.nih.gov/pubmed/33321782 http://dx.doi.org/10.3390/md18120629 |
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author | Tolosa, Josefa Barba, Francisco J. Pallarés, Noelia Ferrer, Emilia |
author_facet | Tolosa, Josefa Barba, Francisco J. Pallarés, Noelia Ferrer, Emilia |
author_sort | Tolosa, Josefa |
collection | PubMed |
description | The present study aimed to identify mycotoxins in edible tissues of Atlantic salmon (Salmo salar) using liquid chromatography coupled to hybrid quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS). After using a non-targeted screening approach and a home-made spectral library, 233 mycotoxins were analyzed. Moreover, the occurrence of mycotoxins in fish filets was evaluated, and their potential toxicity was predicted by in silico methods. According to the obtained results, forty mycotoxins were identified in analyzed salmon samples, the predominant mycotoxins being enniatins (also rugulosin and 17 ophiobolins), commonly found in cereals and their by-products. Thus, mycotoxin carry-over can occur from feed to organs and edible tissues of cultivated fish. Moreover, the toxicity of detected mycotoxins was predicted by the in silico webserver ProTox-II, highlighting that special attention must be paid to some less reported mycotoxins due to their toxic predicted properties. |
format | Online Article Text |
id | pubmed-7764005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77640052020-12-27 Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon Tolosa, Josefa Barba, Francisco J. Pallarés, Noelia Ferrer, Emilia Mar Drugs Article The present study aimed to identify mycotoxins in edible tissues of Atlantic salmon (Salmo salar) using liquid chromatography coupled to hybrid quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS). After using a non-targeted screening approach and a home-made spectral library, 233 mycotoxins were analyzed. Moreover, the occurrence of mycotoxins in fish filets was evaluated, and their potential toxicity was predicted by in silico methods. According to the obtained results, forty mycotoxins were identified in analyzed salmon samples, the predominant mycotoxins being enniatins (also rugulosin and 17 ophiobolins), commonly found in cereals and their by-products. Thus, mycotoxin carry-over can occur from feed to organs and edible tissues of cultivated fish. Moreover, the toxicity of detected mycotoxins was predicted by the in silico webserver ProTox-II, highlighting that special attention must be paid to some less reported mycotoxins due to their toxic predicted properties. MDPI 2020-12-10 /pmc/articles/PMC7764005/ /pubmed/33321782 http://dx.doi.org/10.3390/md18120629 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tolosa, Josefa Barba, Francisco J. Pallarés, Noelia Ferrer, Emilia Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon |
title | Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon |
title_full | Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon |
title_fullStr | Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon |
title_full_unstemmed | Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon |
title_short | Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon |
title_sort | mycotoxin identification and in silico toxicity assessment prediction in atlantic salmon |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764005/ https://www.ncbi.nlm.nih.gov/pubmed/33321782 http://dx.doi.org/10.3390/md18120629 |
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