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Related Experiment Videos

Generating microbial survival curves during thermal processing in real time.

M Peleg1, M D Normand, M G Corradini

  • 1Department of Food Science, Chenoweth Laboratory, University of Massachusetts, Amherst, MA 01003, USA. micha.peleg@foodsci.umass.edu

Journal of Applied Microbiology
|January 22, 2005
PubMed
Summary

A new method calculates microbial survival curves during thermal processing in real-time. This approach, using Microsoft Excel, offers a more accurate measure of thermal process efficacy than traditional methods.

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Area of Science:

  • Food science and technology
  • Microbiology
  • Process engineering

Background:

  • Traditional thermal process efficacy assessment relies on the F0-value, which assumes log-linear microbial inactivation.
  • This assumption is often violated as microbial survival curves can be non-log linear.
  • Accurate prediction of microbial inactivation under dynamic temperature conditions is crucial for food and pharmaceutical safety.

Purpose of the Study:

  • To develop a computational method for calculating theoretical microbial survival curves during non-isothermal thermal processing.
  • To enable simultaneous tracking of microbial inactivation alongside changing temperatures.
  • To demonstrate the method's applicability using readily available software like Microsoft Excel.

Main Methods:

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  • Developed a difference equation to approximate the continuous rate model for microbial inactivation.
  • Incorporated non-log linear isothermal survival curve parameters.
  • Tested the algorithm with survival data for Clostridium botulinum, Bacillus sporothermodurans, and Salmonella enteritidis under various thermal profiles.

    • Main Results:

    • The developed method accurately calculates non-isothermal microbial survival curves.
    • Excellent agreement was observed between the continuous model and the incremental calculation method.
    • The method successfully simulated microbial inactivation under realistic commercial thermal processing conditions.

    Conclusions:

    • A novel algorithm allows for real-time calculation of non-isothermal microbial survival curves.
    • This method can simultaneously monitor inactivation of multiple target organisms.
    • It provides a more realistic measure of thermal process efficacy, replacing the traditional F0-value.