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A new approach to predict the fish fillet shelf-life in presence of natural preservative agents

Alessandro Giufffrida, Filippo Giarratana, Davide Valenti, Daniele Muscolino, Roberta Parisi, Alessio Parco, Stefania Marotta, Graziella Ziino, Antonio Panebianco
  • Alessandro Giufffrida
    Department of Veterinary Sciences, University of Messina, Italy
  • Davide Valenti
    Group of Interdisciplinary Theoretical Physics and CNISM, Department of Physics and Chemistry, University of Palermo, Palermo, Italy
  • Daniele Muscolino
    Department of Veterinary Sciences, University of Messina, Italy
  • Roberta Parisi
    Department of Veterinary Sciences, University of Messina, Italy
  • Alessio Parco
    Department of Veterinary Sciences, University of Messina, Italy
  • Stefania Marotta
    Department of Veterinary Sciences, University of Messina, Italy
  • Graziella Ziino
    Department of Veterinary Sciences, University of Messina, Italy
  • Antonio Panebianco
    Department of Veterinary Sciences, University of Messina, Italy

Abstract

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.

Keywords

Fish fillets; Shelf-life; Natural preservative agents; Predictive microbiology

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Submitted: 2017-04-28 13:47:55
Published: 2017-06-22 17:23:09
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Copyright (c) 2017 Alessandro Giufffrida, Filippo Giarratana, Davide Valenti, Daniele Muscolino, Roberta Parisi, Alessio Parco, Stefania Maria Marotta, Graziella Ziino, Antonio Panebianco

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