Prediction of growth kinetics of Pseudomonas spp. in meat products under isothermal and non-isothermal storage conditions
- 1 January 2021
- journal article
- Published by Scientific Web Journals (SWJ) in Food and Health
- Vol. 7 (3), 194-202
- https://doi.org/10.3153/fh21021
Abstract
The main objective of the present study was to develop and validate a new alternative modelling method to predict the shelf-life of food products under non-isothermal storage conditions. The bacterial growth data of the Pseudomonas spp. was extracted from published studies conducted for aerobically-stored fish, pork and chicken meat and described with two-step and one-step modelling approaches employing different primary models (the modified Gompertz, logistic, Baranyi and Huang models) under isothermal storage temperatures. Temperature dependent kinetic parameters (maximum specific growth rate ‘µmax’ and lag phase duration ‘λ’) were described as a function of storage temperature via the Ratkowsky model integrated with each primary model. The Huang model based on the one-step modelling approach yielded the best goodness of fit results (RMSE = 0.451 and adjusted-R2 = 0.942) for all food products at isothermal storage conditions, therefore, was also used to check it’s the prediction capability under non-isothermal storage conditions. The differential form of the Huang model provided satisfactorily statistical indexes (1.075 > Bf > 1.014 and 1.080 > Af > 1.047) indicating reliably being able to use to describe the growth behaviour of Pseudomonas spp. in fish, pork and chicken meat subjected to non-isothermal storage conditions.Keywords
This publication has 18 references indexed in Scilit:
- A predictive shelf life model as a tool for the improvement of quality management in pork and poultry chainsFood Control, 2013
- Modelling the growth of Clostridium perfringens during the cooling of bulk meatInternational Journal of Food Microbiology, 2008
- Development and validation of a mathematical model to describe the growth of Pseudomonas spp. in raw poultry stored under aerobic conditionsInternational Journal of Food Microbiology, 2007
- Measurements and predictions of growth for Listeria monocytogenes and Salmonella during fluctuating temperature: II. Rapidly changing temperaturesInternational Journal of Food Microbiology, 2001
- Predictive Modeling of the Shelf Life of Fish under Nonisothermal ConditionsApplied and Environmental Microbiology, 2001
- The effect of the growth environment on the lag phase of Listeria monocytogenesInternational Journal of Food Microbiology, 1998
- When is simple good enough: a comparison of the Gompertz, Baranyi, and three-phase linear models for fitting bacterial growth curvesFood Microbiology, 1997
- Indices for performance evaluation of predictive models in food microbiologyJournal of Applied Bacteriology, 1996
- Microbial modeling in foodsCritical Reviews in Food Science and Nutrition, 1995
- A dynamic approach to predicting bacterial growth in foodInternational Journal of Food Microbiology, 1994