0000000000089697

AUTHOR

Filippo Giarratana

0000-0003-0892-4884

showing 4 related works from this author

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

2017

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.

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 Science
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Modelling Bacterial Dynamics in Food Products: Role of Environmental Noise and Interspecific Competition

2013

In this paper we review some results obtained within the context of the predictive microbiology, which is a specific field of the population dynamics. In particular we discuss three models, which exploit tools of statistical mechanics, for bacterial dynamics in food of animal origin. In the first model, the random fluctuating behaviour, experimentally measured, of the temperature is considered. In the second model stochastic differential equations are introduced to take into account the influence of physical and chemical variables, such as temperature, pH and activity water, subject to deterministic and random variations. The third model, which is an extended version of the second one, negl…

Stochastic Modelingeducation.field_of_studyPopulation DynamicPopulationStatistical MechanicNoise in Biological SystemsContext (language use)Statistical mechanicsInterspecific competitionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Field (geography)Stochastic differential equationNoiseNoise-Induced EffectBiological systemEnvironmental noiseeducationMathematicsJournal of Modern Physics
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A new approach to modelling the shelf life of Gilthead seabream (Sparus aurata)

2013

Summary A total of 217 Gilthead seabreams were subdivided in four groups, according to four different storage conditions. All fish were evaluated by both Quality Index Method (QIM) and microbiological analysis, sampling skin, gills and flesh, separately. A QIM score predictive system was set by modelling the growth of microflora of skin, gills and flesh and coupling these predictions to each related partial QIM score (QIMSkin, QIMGills, QIMFlesh). The expression of QIM score as a function of bacterial behaviour was carried out by the employment of two coefficients. The predicted mean bacterial concentrations corresponding to the QIM score at 14 days were always near to Log 8 CFU g−1 in the …

GillSpoilage bacteriaGilthead SeabreamVeterinary medicinequality index methodFleshAnatomyBiologyShelf lifeSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Industrial and Manufacturing EngineeringPredictive modelquality index methodSparus aurata spoilage bacteriaPredictive modelSparus aurataPredictive model; quality index method; Sparus aurata; spoilage bacteriaFish <Chondrichthyes>spoilage bacteriaFood ScienceIndex methodInternational Journal of Food Science &amp; Technology
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Modeling of Sensory Characteristics Based on the Growth of Food Spoilage Bacteria

2016

During last years theoretical works shed new light and proposed new hypothesis on the mechanisms which regulate the time behaviour of biological populations in different natural systems. Despite of this, the role of environmental variables in ecological systems is still an open question. Filling this gap of knowledge is a crucial task for a deeper comprehension of the dynamics of biological populations in real ecosystems. In this work we study how the dynamics of food spoilage bacteria influences the sensory characteristics of fresh fish specimens. This topic is crucial for a better understanding of the role played by the bacterial growth on the organoleptic properties, and for the quality …

Stochastic ordinary differential equationmedia_common.quotation_subjectFood spoilageOrganolepticFOS: Physical sciencesSensory systemContext (language use)BiologyPopulation dynamic01 natural sciencesSensory analysisPopulation dynamics; Predictive microbiology; Stochastic ordinary differential equations; Modeling and Simulation010305 fluids & plasmas0103 physical sciencesStatisticsQuality (business)010306 general physicsQuantitative Biology - Populations and EvolutionCondensed Matter - Statistical Mechanicsmedia_commonPredictive microbiologyStatistical Mechanics (cond-mat.stat-mech)EcologyApplied MathematicsPopulations and Evolution (q-bio.PE)Experimental dataSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Modeling and SimulationFOS: Biological sciencesPredictive microbiology
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