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Process optimization strategies to diminish variability in the quality of discrete packaged foods during thermal processing

  • Philippe Baucour
  • , Kevin Cronin
  • , Martin Stynes

Research output: Contribution to journalArticlepeer-review

Abstract

A distribution in food product thermal properties will produce a distribution in product temperature throughout a heating or cooling process. This in turn will cause a permanent dispersion in product quality through the mechanism of the temperature sensitivity of product quality thermal degradation kinetics. To guarantee acceptable food safety, the slowest heating product must receive adequate thermal treatment, implying that the majority of the products are over-cooked. Strategies to ameliorate this problem are suggested by determining the optimum processing temperature to minimize the final quality dispersion. As an example, the batch sterilization of packaged foods is analyzed and described by a set of three partial differential equations for (i) the heat transfer, (ii) the quality change and (iii) the microbial reduction. In this case process optimization aims to reduce the final standard deviation in quality (without affecting the final safety) by optimizing schedules for the retort temperature.

Original languageEnglish
Pages (from-to)147-155
Number of pages9
JournalJournal of Food Engineering
Volume60
Issue number2
DOIs
Publication statusPublished - Nov 2003

Keywords

  • Monte Carlo analysis
  • Process design
  • Quality variability
  • Sterilization
  • Temperature dispersion

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