Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas

Abstract 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 ris...

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Main Authors: Smaldone, Giorgio, Abollo, Elvira, Marrone, Raffaele, Bernardi, Cristian, Chirollo, Claudia, Anastasio, Aniello, Hierro, Santiago
Format: Article in Journal/Newspaper
Language:unknown
Published: figshare 2020
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.c.4867074.v1
https://springernature.figshare.com/collections/Risk-based_scoring_and_genetic_identification_for_anisakids_in_frozen_fish_products_from_Atlantic_FAO_areas/4867074/1
id ftdatacite:10.6084/m9.figshare.c.4867074.v1
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spelling ftdatacite:10.6084/m9.figshare.c.4867074.v1 2023-05-15T17:13:05+02:00 Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas Smaldone, Giorgio Abollo, Elvira Marrone, Raffaele Bernardi, Cristian Chirollo, Claudia Anastasio, Aniello Hierro, Santiago 2020 https://dx.doi.org/10.6084/m9.figshare.c.4867074.v1 https://springernature.figshare.com/collections/Risk-based_scoring_and_genetic_identification_for_anisakids_in_frozen_fish_products_from_Atlantic_FAO_areas/4867074/1 unknown figshare https://dx.doi.org/10.1186/s12917-020-02286-7 https://dx.doi.org/10.6084/m9.figshare.c.4867074 CC BY 4.0 https://creativecommons.org/licenses/by/4.0 CC-BY 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology FOS Biological sciences Inorganic Chemistry FOS Chemical sciences 110309 Infectious Diseases FOS Health sciences Collection article 2020 ftdatacite https://doi.org/10.6084/m9.figshare.c.4867074.v1 https://doi.org/10.1186/s12917-020-02286-7 https://doi.org/10.6084/m9.figshare.c.4867074 2021-11-05T12:55:41Z Abstract 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. Article in Journal/Newspaper Molva dypterygia DataCite Metadata Store (German National Library of Science and Technology) Zeus ENVELOPE(140.020,140.020,-66.661,-66.661)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic 59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Inorganic Chemistry
FOS Chemical sciences
110309 Infectious Diseases
FOS Health sciences
spellingShingle 59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Inorganic Chemistry
FOS Chemical sciences
110309 Infectious Diseases
FOS Health sciences
Smaldone, Giorgio
Abollo, Elvira
Marrone, Raffaele
Bernardi, Cristian
Chirollo, Claudia
Anastasio, Aniello
Hierro, Santiago
Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas
topic_facet 59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Inorganic Chemistry
FOS Chemical sciences
110309 Infectious Diseases
FOS Health sciences
description Abstract 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 Article in Journal/Newspaper
author Smaldone, Giorgio
Abollo, Elvira
Marrone, Raffaele
Bernardi, Cristian
Chirollo, Claudia
Anastasio, Aniello
Hierro, Santiago
author_facet Smaldone, Giorgio
Abollo, Elvira
Marrone, Raffaele
Bernardi, Cristian
Chirollo, Claudia
Anastasio, Aniello
Hierro, Santiago
author_sort Smaldone, Giorgio
title 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_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_sort risk-based scoring and genetic identification for anisakids in frozen fish products from atlantic fao areas
publisher figshare
publishDate 2020
url https://dx.doi.org/10.6084/m9.figshare.c.4867074.v1
https://springernature.figshare.com/collections/Risk-based_scoring_and_genetic_identification_for_anisakids_in_frozen_fish_products_from_Atlantic_FAO_areas/4867074/1
long_lat ENVELOPE(140.020,140.020,-66.661,-66.661)
geographic Zeus
geographic_facet Zeus
genre Molva dypterygia
genre_facet Molva dypterygia
op_relation https://dx.doi.org/10.1186/s12917-020-02286-7
https://dx.doi.org/10.6084/m9.figshare.c.4867074
op_rights CC BY 4.0
https://creativecommons.org/licenses/by/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.c.4867074.v1
https://doi.org/10.1186/s12917-020-02286-7
https://doi.org/10.6084/m9.figshare.c.4867074
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