Home > III International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food Chain; MODEL-IT > STATISTICAL MODELLING OF COLD-SMOKED SALMON TEMPERATURE PROFILES FOR RISK ASSESSMENT OF LISTERIA MONOCYTOGENES

Articles

STATISTICAL MODELLING OF COLD-SMOKED SALMON TEMPERATURE PROFILES FOR RISK ASSESSMENT OF LISTERIA MONOCYTOGENES

Article number

674_47

Pages

383 – 388

Language

English

Abstract

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.
This paper proposes a statistical modelling for the temperature evolution of a cold-smoked salmon, in the framework of a risk assessment of L. monocytogenes.

Publication

III International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food Chain; MODEL-IT

Authors

A.L. Afchain, E. Derens, J. Guilpart, M. Cornu

Keywords

cold chain, chilled food product, temperature profile, Listeria monocytogenes, predictive microbiology, exponential distribution, normal distribution, gamma distribution

Full text

https://doi.org/10.17660/ActaHortic.2005.674.47

Online Articles (81)

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