Share

IIR document

Time temperature histories of perishable foods during shopping, transport and home refrigerated storage.

Number: pap. ID: 102

Author(s) : LANDFELD A., KAZILOVA L., HOUSKA M.

Summary

The time temperature histories of perishable foods after shopping and during home refrigerator storage were studied. RFID based temperature data loggers were used to predict mean temperature histories and mean storage times in both parts of the after shopping history. The data were transformed into frequency distribution functions. These functions were used for a microbial risk assessment case study of potential Listeria monocytogenes (LM) growth and survival. @risk software was used to generate the Monte-Carlo prediction of the distribution function of the final LM concentration. Sensitivity analysis was done to predict the most important factors influencing the final concentration and to determine the most promising factors for decreasing the risk of violating legislation regarding microbial concentrations during the shelf-life of products.

Available documents

Format PDF

Pages: 8 p.

Available

  • Public price

    20 €

  • Member price*

    Free

* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).

Details

  • Original title: Time temperature histories of perishable foods during shopping, transport and home refrigerated storage.
  • Record ID : 30001546
  • Languages: English
  • Source: Proceedings of the 23rd IIR International Congress of Refrigeration: Prague, Czech Republic, August 21-26, 2011. Overarching theme: Refrigeration for Sustainable Development.
  • Publication date: 2011/08/21

Links


See other articles from the proceedings (569)
See the conference proceedings

Indexing