Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production

Over the last couple of decades, several studies have evaluated growth dynamics of L. monocytogenes in lightly processed and ready-to-eat (RTE) fishery products mostly consumed in Nordic European countries. Other fish species from aquaculture production are of special interest since their relevant c...

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Autores: Bolívar, Araceli, Costa, Jean Carlos Correia Peres, Posada-Izquierdo, Guiomar Denisse, Valero, Antonio, Zurera, Gonzalo, Pérez-Rodríguez, Fernando
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/465870
Acceso en línea:https://doi.org/10.1016/j.ijfoodmicro.2018.02.005
https://hdl.handle.net/10459.1/465870
Access Level:acceso abierto
Palabra clave:Foodborne pathogens
Sea bream
Sea bass
Predictive microbiology
Model validation
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spelling Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture productionBolívar, AraceliCosta, Jean Carlos Correia PeresPosada-Izquierdo, Guiomar Denisse Valero, AntonioZurera, GonzaloPérez-Rodríguez, FernandoFoodborne pathogensSea breamSea bassPredictive microbiologyModel validationOver the last couple of decades, several studies have evaluated growth dynamics of L. monocytogenes in lightly processed and ready-to-eat (RTE) fishery products mostly consumed in Nordic European countries. Other fish species from aquaculture production are of special interest since their relevant consumption patterns and added value in Mediterranean countries, such as sea bream and sea bass. In the present study, the growth of L. monocytogenes was evaluated in fish-based juice (FBJ) by means of optical density (OD) measurements in a temperature range 2-20 °C under different atmosphere conditions (i.e. reduced oxygen and aerobic). The Baranyi and Roberts model was used to estimate the maximum growth rate (μmax) from the observed growth curves. The effect of storage temperature on μmax was modelled using the Ratkowsky square root model. The developed models were validated using experimental growth data for L. monocytogenes in sea bream and sea bass fillets stored under static and dynamic temperature conditions. Overall, models developed in FBJ provided fail-safe predictions for L. monocytogenes growth. For the model generated under reduced oxygen conditions, bias and accuracy factor for growth rate predictions were 1.15 and 1.25, respectively, showing good performance to adequately predict L. monocytogenes growth in Mediterranean fish products. The present study provides validated predictive models for L. monocytogenes growth in Mediterranean fish species to be used in microbial risk assessment and shelf-life studies.This study was supported by the Project AGR2014-1906 from the Andalusian Government (Spain) and the Research Group AGR-170 HIBRO. The authors would also like to thank the company Esteros de Canela S.A for the provision of fish fillets and Centro Tecnológico de la Acuicultura (CTAQUA) for technical support.Elsevier2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1016/j.ijfoodmicro.2018.02.005https://hdl.handle.net/10459.1/465870reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)InglésVersió postprint del document publicat a: https://doi.org/10.1016/j.ijfoodmicro.2018.02.005International Journal of Food Microbiology, 2018, vol. 270, p. 14-21cc-by-nc-nd (c) Elsevier, 2018info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/oai:repositori.udl.cat:10459.1/4658702026-06-24T12:42:17Z
dc.title.none.fl_str_mv Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production
title Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production
spellingShingle Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production
Bolívar, Araceli
Foodborne pathogens
Sea bream
Sea bass
Predictive microbiology
Model validation
title_short Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production
title_full Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production
title_fullStr Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production
title_full_unstemmed Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production
title_sort Modelling the growth of Listeria monocytogenes in Mediterranean fish species from aquaculture production
dc.creator.none.fl_str_mv Bolívar, Araceli
Costa, Jean Carlos Correia Peres
Posada-Izquierdo, Guiomar Denisse
Valero, Antonio
Zurera, Gonzalo
Pérez-Rodríguez, Fernando
author Bolívar, Araceli
author_facet Bolívar, Araceli
Costa, Jean Carlos Correia Peres
Posada-Izquierdo, Guiomar Denisse
Valero, Antonio
Zurera, Gonzalo
Pérez-Rodríguez, Fernando
author_role author
author2 Costa, Jean Carlos Correia Peres
Posada-Izquierdo, Guiomar Denisse
Valero, Antonio
Zurera, Gonzalo
Pérez-Rodríguez, Fernando
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Foodborne pathogens
Sea bream
Sea bass
Predictive microbiology
Model validation
topic Foodborne pathogens
Sea bream
Sea bass
Predictive microbiology
Model validation
description Over the last couple of decades, several studies have evaluated growth dynamics of L. monocytogenes in lightly processed and ready-to-eat (RTE) fishery products mostly consumed in Nordic European countries. Other fish species from aquaculture production are of special interest since their relevant consumption patterns and added value in Mediterranean countries, such as sea bream and sea bass. In the present study, the growth of L. monocytogenes was evaluated in fish-based juice (FBJ) by means of optical density (OD) measurements in a temperature range 2-20 °C under different atmosphere conditions (i.e. reduced oxygen and aerobic). The Baranyi and Roberts model was used to estimate the maximum growth rate (μmax) from the observed growth curves. The effect of storage temperature on μmax was modelled using the Ratkowsky square root model. The developed models were validated using experimental growth data for L. monocytogenes in sea bream and sea bass fillets stored under static and dynamic temperature conditions. Overall, models developed in FBJ provided fail-safe predictions for L. monocytogenes growth. For the model generated under reduced oxygen conditions, bias and accuracy factor for growth rate predictions were 1.15 and 1.25, respectively, showing good performance to adequately predict L. monocytogenes growth in Mediterranean fish products. The present study provides validated predictive models for L. monocytogenes growth in Mediterranean fish species to be used in microbial risk assessment and shelf-life studies.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.ijfoodmicro.2018.02.005
https://hdl.handle.net/10459.1/465870
url https://doi.org/10.1016/j.ijfoodmicro.2018.02.005
https://hdl.handle.net/10459.1/465870
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.ijfoodmicro.2018.02.005
International Journal of Food Microbiology, 2018, vol. 270, p. 14-21
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Elsevier, 2018
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/4.0/
rights_invalid_str_mv cc-by-nc-nd (c) Elsevier, 2018
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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