A novel tool to model dynamic microbial inactivation following a probabilistic approach

  1. A. Garre
  2. J.A. Egea
  3. P.M. Periago
  4. A. Esnoz
  5. A. Aznar
  6. A. Palop
  7. A. Iguaz
  8. A. Martínez
  9. P.S. Fernández
Actes de conférence:
International conference on Quantitative Tools for Sustainable Food and Energy in the food chain: Grecia, del 10 al 12 de abril de 2017

Année de publication: 2017

Type: Communication dans un congrès

GOOGLE SCHOLAR

Résumé

: The accurate prediction of the inactivation steps during the food chain iscrucial for a quantitative risk analysis. Therefore a tool that can describe dynamicmicrobial inactivation and to estimate confidence intervals can be very relevantto evaluate industrial heat processes.