A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents

Three data sets concerning the behaviour of spoilage flora of fillets treated with natural preservative substances (NPS) were used to construct a new kind of mathematical predictive model. This model, unlike other ones, allows expressing the antibacterial effect of the NPS separately from the predic...

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Autores principales: Giuffrida, Alessandro, Giarratana, Filippo, Valenti, Davide, Muscolino, Daniele, Parisi, Roberta, Parco, Alessio, Marotta, Stefania, Ziino, Graziella, Panebianco, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications, Pavia, Italy 2017
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Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5505098/
https://www.ncbi.nlm.nih.gov/pubmed/28713795
http://dx.doi.org/10.4081/ijfs.2017.6768
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author Giuffrida, Alessandro
Giarratana, Filippo
Valenti, Davide
Muscolino, Daniele
Parisi, Roberta
Parco, Alessio
Marotta, Stefania
Ziino, Graziella
Panebianco, Antonio
author_facet Giuffrida, Alessandro
Giarratana, Filippo
Valenti, Davide
Muscolino, Daniele
Parisi, Roberta
Parco, Alessio
Marotta, Stefania
Ziino, Graziella
Panebianco, Antonio
author_sort Giuffrida, Alessandro
collection PubMed
description Three data sets concerning the behaviour of spoilage flora of fillets treated with natural preservative substances (NPS) were used to construct a new kind of mathematical predictive model. This model, unlike other ones, allows expressing the antibacterial effect of the NPS separately from the prediction of the growth rate. This approach, based on the introduction of a parameter into the predictive primary model, produced a good fitting of observed data and allowed characterising quantitatively the increase of shelf-life of fillets.
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spelling pubmed-55050982017-07-14 A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents Giuffrida, Alessandro Giarratana, Filippo Valenti, Davide Muscolino, Daniele Parisi, Roberta Parco, Alessio Marotta, Stefania Ziino, Graziella Panebianco, Antonio Ital J Food Saf Article Three data sets concerning the behaviour of spoilage flora of fillets treated with natural preservative substances (NPS) were used to construct a new kind of mathematical predictive model. This model, unlike other ones, allows expressing the antibacterial effect of the NPS separately from the prediction of the growth rate. This approach, based on the introduction of a parameter into the predictive primary model, produced a good fitting of observed data and allowed characterising quantitatively the increase of shelf-life of fillets. PAGEPress Publications, Pavia, Italy 2017-06-22 /pmc/articles/PMC5505098/ /pubmed/28713795 http://dx.doi.org/10.4081/ijfs.2017.6768 Text en ©Copyright A. Giuffrida et al., 2017 http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Giuffrida, Alessandro
Giarratana, Filippo
Valenti, Davide
Muscolino, Daniele
Parisi, Roberta
Parco, Alessio
Marotta, Stefania
Ziino, Graziella
Panebianco, Antonio
A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents
title A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents
title_full A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents
title_fullStr A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents
title_full_unstemmed A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents
title_short A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents
title_sort new approach to predict the fish fillet shelf-life in presence of natural preservative agents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5505098/
https://www.ncbi.nlm.nih.gov/pubmed/28713795
http://dx.doi.org/10.4081/ijfs.2017.6768
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