Comparison of individual-based modeling and population approaches for prediction of foodborne pathogens growth
Authored by Jean-Christophe Augustin, Rachel Ferrier, Bernard Hezard, Adrienne Lintz, Valerie Stahl
Date Published: 2015
DOI: 10.1016/j.fm.2014.04.006
Sponsors:
French National Research Agency (ANR)
Platforms:
MATLAB
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Individual-based modeling (IBM) approach combined with the
microenvironment modeling of vacuum-packed cold-smoked salmon was more
effective to describe the variability of the growth of a few Listeria
monocytogenes cells contaminating irradiated salmon slices than the
traditional population models. The IBM approach was particularly
relevant to predict the absence of growth in 25\% (5 among 20) of
artificially contaminated cold-smoked salmon samples stored at 8 degrees
C. These results confirmed similar observations obtained with smear soft
cheese (Ferrier et al., 2013). These two different food models were used
to compare the IBM/microscale and population/macroscale modeling
approaches in more global exposure and risk assessment frameworks taking
into account the variability and/or the uncertainty of the factors
influencing the growth of L. monocytogenes. We observed that the
traditional population models significantly overestimate exposure and
risk estimates in comparison to IBM approach when contamination of foods
occurs with a low number of cells (<100 per serving). Moreover, the
exposure estimates obtained with the population model were characterized
by a great uncertainty. The overestimation was mainly linked to the
ability of IBM to predict no growth situations rather than the
consideration of microscale environment. On the other hand, when the aim
of quantitative risk assessment studies is only to assess the relative
impact of changes in control measures affecting the growth of foodborne
bacteria, the two modeling approach gave similar results and the
simplest population approach was suitable. (C) 2014 Elsevier Ltd. All
rights reserved.
Tags
Cells
Variability
Temperature
Food
Listeria-monocytogenes
Quantitative risk-assessment
Lag time distributions
Cold-smoked
salmon
Water activity
Soft cheese