Statistical modelling of cold-smoked salmon temperature profiles for risk assessment of Listeria monocytogenes

Author(s) : AFCHAIN A. L., DERENS E., GUILPART J., et al.

Summary

In predictive microbiology, the bacterial growth is expressed as a function of pH, water activity and temperature. The temperature is usually assumed to be constant. Nevertheless, in the cold chain, temperature fluctuations are observed. The paper proposes a statistical modelling for the temperature evolution of a cold-smoked salmon, in the framework of a risk assessment of L. monocytogenes.

Details

  • Original title: Statistical modelling of cold-smoked salmon temperature profiles for risk assessment of Listeria monocytogenes
  • Record ID : 2006-1877
  • Languages: English
  • Source: Proceedings of the Third International Symposium on applications of modelling as an innovative technology in the agri-food chain. Model-IT 2005.
  • Publication date: 2005/05/02

Links


See other articles from the proceedings (24)
See the conference proceedings