Development and validation of a regression model for Listeria monocytogenes growth in roast beefs

Food business operators are responsible for food safety and assessment of shelf lives their ready-to-eat products. For assisting them, a customized software based on predictive models, ListWare, is being developed. The aim this study was to develop validate model the growth Listeria monocytogenes in sliced roast beef. A challenge performed comprising 51 different combinations variables. curves followed Baranyi Roberts with no clear lag phase specific rates range <0.005–0.110 hr?1. linear regression developed 528 observations had an adjusted R-square 0.80. significant predictors were storage temperature, sodium lactate, interactions between acetate MAP packaging temperature. validated four laboratories three countries. conditions where predicted up + log 2 cfu/g concentration, observed concentrations true or below concentration 90% cases. remaining 10%, beef coated spices therefore from others. will be implemented ListWare web-application calculation “Listeria life”.