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...
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ftmdpi:oai:mdpi.com:/1660-3397/18/12/629/ 2023-08-20T04:05:15+02:00 Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon Josefa Tolosa Francisco J. Barba Noelia Pallarés Emilia Ferrer agris 2020-12-10 application/pdf https://doi.org/10.3390/md18120629 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/md18120629 https://creativecommons.org/licenses/by/4.0/ Marine Drugs; Volume 18; Issue 12; Pages: 629 liquid chromatography time of flight mass spectrometry mycotoxins Atlantic salmon in silico prediction Text 2020 ftmdpi https://doi.org/10.3390/md18120629 2023-08-01T00:38:14Z 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. Text Atlantic salmon Salmo salar MDPI Open Access Publishing Marine Drugs 18 12 629 |
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language |
English |
topic |
liquid chromatography time of flight mass spectrometry mycotoxins Atlantic salmon in silico prediction |
spellingShingle |
liquid chromatography time of flight mass spectrometry mycotoxins Atlantic salmon in silico prediction Josefa Tolosa Francisco J. Barba Noelia Pallarés Emilia Ferrer Mycotoxin Identification and In Silico Toxicity Assessment Prediction in Atlantic Salmon |
topic_facet |
liquid chromatography time of flight mass spectrometry mycotoxins Atlantic salmon in silico prediction |
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 |
Text |
author |
Josefa Tolosa Francisco J. Barba Noelia Pallarés Emilia Ferrer |
author_facet |
Josefa Tolosa Francisco J. Barba Noelia Pallarés Emilia Ferrer |
author_sort |
Josefa Tolosa |
title |
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_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_sort |
mycotoxin identification and in silico toxicity assessment prediction in atlantic salmon |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/md18120629 |
op_coverage |
agris |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Marine Drugs; Volume 18; Issue 12; Pages: 629 |
op_relation |
https://dx.doi.org/10.3390/md18120629 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/md18120629 |
container_title |
Marine Drugs |
container_volume |
18 |
container_issue |
12 |
container_start_page |
629 |
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1774715734471999488 |