6533b7d0fe1ef96bd1259b89
RESEARCH PRODUCT
A new approach to predict the fish fillet shelf-life in presence of natural preservative agents
Alessio ParcoRoberta ParisiGraziella ZiinoStefania Maria MarottaFilippo GiarratanaAlessandro GiufffridaAntonio PanebiancoDavide ValentiDaniele Muscolinosubject
Preservativelcsh:TP368-456Predictive microbiologyShelf-lifeFood spoilageFish fillets; Natural preservative agents; Predictive microbiology; Shelf-life; Food ScienceFish filletNatural preservative agents04 agricultural and veterinary sciencesAntibacterial effectShelf life040401 food scienceArticleSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)lcsh:Food processing and manufacture0404 agricultural biotechnologyFish filletsFish filletPredictive microbiologyFood scienceFish fillets Shelf-life Natural preservative agents Predictive microbiology.Natural preservative agentMathematicsFood Sciencedescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-01-01 |