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Predicting heat process efficiency in thermal processes when bacterial inactivation is not log-linear.

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The F-value assumes microbial heat inactivation is log-linear, but it often isn't. This study introduces an equivalent time calculation to accurately predict microbial inactivation, even with non-log-linear patterns, improving food safety predictions.

Keywords:
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Area of Science:

  • Food Science
  • Microbiology
  • Chemical Engineering

Background:

  • The food industry commonly uses the F-value for microbial inactivation, assuming a log-linear model.
  • Microbial heat inactivation can exhibit non-log-linear kinetics due to heterogeneity, leading to prediction inaccuracies.
  • Existing models may fail to accurately predict microbial death under dynamic heat treatment conditions.

Purpose of the Study:

  • To propose a novel method for calculating equivalent heat treatment time to address non-log-linear microbial inactivation.
  • To validate the proposed method by predicting the heat inactivation of Bacillus pumilus.
  • To assess the accuracy of predictions against acceptable error margins.

Main Methods:

  • Developed a method to calculate equivalent heat treatment time at specific temperatures.
  • Applied the method to predict Bacillus pumilus heat inactivation under four different thermal profiles.
  • Performed bacterial enumeration to quantify prediction errors and residuals.
  • Defined an acceptable prediction zone (±1 log safe, ±0.5 log dangerous) with a 70% residual threshold.

Main Results:

  • The proposed equivalent time calculation method yielded satisfactory predictions for Bacillus pumilus heat inactivation.
  • Prediction accuracy across the four tested profiles showed high percentages of residuals within the acceptable zone (96%, 85%, 85%, 100%).
  • The model demonstrated its capability to handle non-log-linear inactivation patterns effectively.

Conclusions:

  • The developed equivalent time approach provides a practical alternative for simulating microbial heat inactivation kinetics.
  • This method extends the applicability of F-value concepts to scenarios with non-log-linear microbial inactivation.
  • The findings enhance the reliability of predicting microbial safety under dynamic processing conditions in the food industry.