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
Aktak:
International conference on Quantitative Tools for Sustainable Food and Energy in the food chain: Grecia, del 10 al 12 de abril de 2017

Argitalpen urtea: 2017

Mota: Biltzar ekarpena

GOOGLE SCHOLAR

Laburpena

: 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.