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Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas
BACKGROUND: The presence of Anisakis larvae in fish represents a major public health concern. Effective risk management procedures should be applied to prevent heavily infected products from reaching the market. The aim of the study is to provide preliminary data on parasite exposure and risk classi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033913/ https://www.ncbi.nlm.nih.gov/pubmed/32085758 http://dx.doi.org/10.1186/s12917-020-02286-7 |
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author | Smaldone, Giorgio Abollo, Elvira Marrone, Raffaele Bernardi, Cristian E. M. Chirollo, Claudia Anastasio, Aniello del Hierro, Santiago P. |
author_facet | Smaldone, Giorgio Abollo, Elvira Marrone, Raffaele Bernardi, Cristian E. M. Chirollo, Claudia Anastasio, Aniello del Hierro, Santiago P. |
author_sort | Smaldone, Giorgio |
collection | PubMed |
description | BACKGROUND: The presence of Anisakis larvae in fish represents a major public health concern. Effective risk management procedures should be applied to prevent heavily infected products from reaching the market. The aim of the study is to provide preliminary data on parasite exposure and risk classification in frozen fish products by applying a risk categorization scheme (site, abundance, density and epidemiology – SADE) and Fish Parasite Rating (FPR) method. Fish and cephalopods samples (N = 771) from 5 different FAO Atlantic areas were examined and categorized after an accurate visual inspection and a chloro-peptic digestion. RESULTS: In 25 out of 33 fish species parasite larvae were found. 10897 anisakids larvae were collected and identified to genus level. Molva dypterygia, Conger conger, Zeus faber and Aphanopus carbo were shown to be the most highly infected species. SADE and FPR scores were 1 and poor, respectively, for the referred species, because of the disseminated Anisakis infection and commercial rejection. CONCLUSION: SADE/FPR method showed high specificity and accuracy. The information provided in this work could be used in early warning systems for the detection of parasites in fishery products and might help fishing industries in establishing management strategies for infected stocks in terms of cost saving decisions. |
format | Online Article Text |
id | pubmed-7033913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70339132020-02-27 Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas Smaldone, Giorgio Abollo, Elvira Marrone, Raffaele Bernardi, Cristian E. M. Chirollo, Claudia Anastasio, Aniello del Hierro, Santiago P. BMC Vet Res Research Article BACKGROUND: The presence of Anisakis larvae in fish represents a major public health concern. Effective risk management procedures should be applied to prevent heavily infected products from reaching the market. The aim of the study is to provide preliminary data on parasite exposure and risk classification in frozen fish products by applying a risk categorization scheme (site, abundance, density and epidemiology – SADE) and Fish Parasite Rating (FPR) method. Fish and cephalopods samples (N = 771) from 5 different FAO Atlantic areas were examined and categorized after an accurate visual inspection and a chloro-peptic digestion. RESULTS: In 25 out of 33 fish species parasite larvae were found. 10897 anisakids larvae were collected and identified to genus level. Molva dypterygia, Conger conger, Zeus faber and Aphanopus carbo were shown to be the most highly infected species. SADE and FPR scores were 1 and poor, respectively, for the referred species, because of the disseminated Anisakis infection and commercial rejection. CONCLUSION: SADE/FPR method showed high specificity and accuracy. The information provided in this work could be used in early warning systems for the detection of parasites in fishery products and might help fishing industries in establishing management strategies for infected stocks in terms of cost saving decisions. BioMed Central 2020-02-21 /pmc/articles/PMC7033913/ /pubmed/32085758 http://dx.doi.org/10.1186/s12917-020-02286-7 Text en © The Author(s) 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Smaldone, Giorgio Abollo, Elvira Marrone, Raffaele Bernardi, Cristian E. M. Chirollo, Claudia Anastasio, Aniello del Hierro, Santiago P. Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas |
title | Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas |
title_full | Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas |
title_fullStr | Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas |
title_full_unstemmed | Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas |
title_short | Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas |
title_sort | risk-based scoring and genetic identification for anisakids in frozen fish products from atlantic fao areas |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033913/ https://www.ncbi.nlm.nih.gov/pubmed/32085758 http://dx.doi.org/10.1186/s12917-020-02286-7 |
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