Modelling Salmonella concentration throughout the pork supply chain by considering growth and survival in fluctuating conditions of temperature, pH and aw

A review on growth/no growth Salmonella models

“…In general, it can be observed that the interface predicted by the models of Lanciotti et al (2001), Pin et al (2011) and Polesse et al (2011) gave close predictions, in particular the latter two at a cutoff point of 0.1 (Fig. 1a and c).…”

“…mayonnaise products acidified by acetic acid or vinegar, which are more powerful antimicrobial acids than HCl, the acid used in the study of Koutsoumanis et al (2004). Pin et al (2011), estimated the concentration of Salmonella throughout the pork supply chain. For this, they proceeded to model the growth, decay rate and the probability of growth of Salmonella spp.…”

“…This could be due to the relative large number of serovars and strains in which their model was based. The dataset used by Pin et al (2011) likely included cases in which Salmonella organisms were able to grow under more stringent conditions, so joint G/NG data from different Salmonella serovars may affect the probability of growth model, making it safer. Polesse et al (2011) proposed a simplified model for assessing the growth boundary of various microorganisms.…”

“…1. For the sake of comparison, a common range of environmental factors of the models were selected: temperature (Basti & Razavilar, 2004;Koutsoumanis et al, 2004;Lanciotti et al, 2001;Pin et al, 2011;Polesse et al, 2011) with extrapolation of temperature estimates. a) Cut-off probability = 0.1 and aw = 0.983; b) Cut-off probability = 0.5 and aw = 0.983; c) Cut-off probability = 0.1 and aw = 0.990; d) Cut-off probability = 0.5 and aw = 0.990.…”

Predicting the Concentration of Verotoxin-Producing Escherichia coli Bacteria during Processing and Storage of Fermented Raw-Meat Sausages

“…The interpolation region of the EcSF tool was estimated using the DMFit tool (60) from the nonthermal inactivation, thermal inactivation, and growth data sets used to fit the population kinetic models, and its vertices are reported in Table S4 in the supplemental material. The interpolation region is inside the model nominal region but generally smaller; the percentage of overlap between both regions can be estimated by Monte Carlo methods as previously described (61). We have estimated that the interpolation region of the EcSF tool is 30% of its nominal region.…”