• Title of article

    A simplified modelling approach established to determine the Listeria monocytogenes behaviour during processing and storage of a traditional (Italian) ready-to-eat food in accordance with the European Commission Regulation N° 2073/2005

  • Author/Authors

    Polese، نويسنده , , Pierluigi and Del Torre، نويسنده , , Manuela and Venir، نويسنده , , Elena and Stecchini، نويسنده , , Mara Lucia، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2014
  • Pages
    8
  • From page
    166
  • To page
    173
  • Abstract
    This paper considers the applications of the European Commission (EC) Regulation N° 2073/2005 concerning Listeria monocytogenes in ready-to-eat (RTE) food products. A simplified modelling approach (SMA), which is intended for a practical evaluation of the behaviour of the pathogen during processing and storage of an RTE meat product (Pitina) from traditional producers, was presented. This approach included a growth/no-growth model, which was developed by using the limits adopted as safety criteria by the EU, a model based on the gamma concept (GM) and a kinetic three-phase model (TPL). Based on the findings of the present study, Pitina was incapable of supporting the growth of L. monocytogenes and the no-growth conditions assessed through the shelf life by the model were confirmed by challenge testing. When the simplified approach was used to estimate the total pathogen growth relative to the Pitina multistage process, taking into account the effects of various hurdles, it provided predictions of L. monocytogenes growth corresponding to the observed data in the inoculation studies. Therefore, this simplified approach is expected to enable the food producers to identify appropriate processing conditions. The successfully validated SMA was found sufficiently complex to predict growth responses of L. monocytogenes in RTE foods, but at the same time easy-to-use for practical processing situations.
  • Keywords
    Growth/no growth model , Traditional product , EC Regulation , Kinetic model , Predictive microbiology
  • Journal title
    Food Control
  • Serial Year
    2014
  • Journal title
    Food Control
  • Record number

    1949047