Evaluation Of QMRA Performance For Listeria
Monocytogenes In Cold Smoked Salmon
Author(s)
V. Popov, H. L. Lauzon, M. N. Haque, F. Leroi & R. Gospavic
Abstract
Food-borne listeriosis, caused by Listeria monocytogenes (Lm), is relatively rare
but the relatively high rate of fatality (20–30%) compared to other food-borne
microbial pathogens such as Salmonella makes it a serious disease. The foodstuff
is recognised as the primary route of transmission for human exposure. A wide
variety of food or raw material may become contaminated with Lm but the
majority of listeriosis cases are related to ready-to-eat (RTE) food. The important
factor related to food-borne listeriosis is that Lm can grow under low
(refrigerated) temperatures when given sufficient time. Therefore, RTE products
with long shelf life are under risk with respect to growth of Lm to critical
concentrations.
A stochastic model for the growth of Lm with the inhibiting effect of lactic
acid bacteria (LAB) in cold smoked salmon (CSS) was developed. An existing
deterministic model for the growth of Lm was adapted by adding the Winner
stochastic process in order to simulate the growth of Lm. The Poisson
distribution is used to represent the initial count (occurrence) of Lm. A
deterministic model for growth of LAB is used and the inhibiting effects of Lm
and LAB on each other are taken into account. The Beta-Poisson model is used
for estimating the dose response.
The model has been tested during field trials with CSS performed in August
2010. The salmon was slaughtered in Norway and transported to France where it
was processed. The model, implemented within the QMRA module, indicated
that growth of Lm would occur in the CSS samples investigated. However, the
Keywords
QMRA, Listeria monocytogenes, cold smoked salmon, model evaluation
Related Book
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