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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.
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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 translations: Historial de temperatura de los alimentos perecederos durante la compra, el transporte y el almacenamiento refrigerado en el hogar.
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Indexing
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Themes:
Refrigerated transport: general information;
Refrigerated storage: general information;
Food quality and safety. Microbiology;
Cold chain, interfaces;
Traceability, metrology;
Chilling of foodstuffs;
Domestic applications (refrigerators, freezers) - Keywords: Food; RFID; Measurement; Listeria; Transport; Temperature; Time-temperature tolerance; Household refrigerator; Microbiological quality; Storage; Shop
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