TY - JOUR
T1 - A new approach to predict the fish fillet shelf-life in presence of natural preservative agents
AU - Valenti, Davide
AU - Giarratana, Filippo
AU - Ziino, Graziella
AU - Giuffrida, Alessandro
AU - Muscolino, Daniele
AU - Parisi, Roberta
AU - Marotta, Stefania
AU - Parco, Alessio
AU - Parisi, Roberta
AU - Parisi, Roberta
AU - Panebianco, Antonio
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10447/240421
M3 - Article
SN - 2239-7132
VL - 6
SP - 88
EP - 92
JO - Italian Journal of Food Safety
JF - Italian Journal of Food Safety
ER -