Skip to Main content Skip to Navigation
Conference papers

Impact of cooked ham cold chain variability on safety by sensitivity analysis

Abstract : Deterministic models describing heat transfer in cold chain, microbial growth and product quality evolution are widely studied. However, it is difficult to apply them in practice because of several random parameters of the logistic supply chain (ambient temperature varying due to season, product residence time in equipment), and of the product characteristics (initial microbial load, lag time, water activity). This variability can lead to different product evolutions (microbial load, weight losses, firmness and colour change) causing product losses and health risks. This study proposes a new approach combining the deterministic and stochastic modelling (Monte Carlo) to take into account the variability of the logistic supply chain and product characteristics. The developed methodology was applied to the cold chain of cooked ham including, display cabinet, transport by consumer and domestic refrigerator, to predict the evolution of state variables such as temperature and the growth of Listeria monocytogenes. The impact of inputs parameters was calculated and ranked to highlight the main sources of product degradation.
Complete list of metadata

https://hal.inrae.fr/hal-02749381
Contributor : Migration Prodinra Connect in order to contact the contributor
Submitted on : Wednesday, June 3, 2020 - 3:19:45 PM
Last modification on : Tuesday, July 13, 2021 - 9:56:01 AM

Identifiers

  • HAL Id : hal-02749381, version 1
  • PRODINRA : 421125

Collections

Citation

Steven Duret, Hong-Minh Hoang, Denis Flick, Laurent Guillier, Onrawee Laguerre. Impact of cooked ham cold chain variability on safety by sensitivity analysis. 2. IIR International Conference on Sustainability and the Cold Chain, Institut International du Froid (IIF). FRA., Apr 2013, Paris, France. 641 p. ⟨hal-02749381⟩

Share

Metrics

Record views

23