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Investigating the Detrimental Effects of Low Pressure Plasma Sterilization on the Survival of Bacillus subtilis Spores Using Live Cell Microscopy
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Modelling the bacterial survival/death interface induced by high pressure processing.

Shigenobu Koseki1, Kazutaka Yamamoto

  • 1National Food Research Institute, 2-1-12, Kannondai, Tsukuba, Ibaraki 305-8642, Japan. koseki@affrc.go.jp

International Journal of Food Microbiology
|February 20, 2007
PubMed
Summary

A new survival/death interface model accurately predicts Listeria monocytogenes inactivation using high pressure processing (HPP). This model optimizes HPP conditions for food safety and HACCP plans.

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Area of Science:

  • Food Microbiology
  • Food Engineering
  • Predictive Modeling

Background:

  • Listeria monocytogenes poses a significant food safety risk.
  • High Pressure Processing (HPP) is an effective method for microbial inactivation.
  • Predictive models are crucial for optimizing food processing parameters.

Purpose of the Study:

  • To develop and validate a predictive model for Listeria monocytogenes inactivation by HPP.
  • To determine optimal HPP conditions for microbial control.
  • To integrate predictive modeling into food safety management systems like HACCP.

Main Methods:

  • Development of a survival/death interface model using extensive experimental data.
  • Inclusion of key environmental factors: pressure, time, pH, and inoculum level.
  • Validation of the model through concordance analysis and performance statistics.

Main Results:

  • The linear logistic model demonstrated high accuracy (99.3% concordance) in predicting Listeria monocytogenes inactivation.
  • The model effectively identified requisite HPP process conditions for targeted microbial inactivation.
  • A polynomial logistic model provided a poorer fit, highlighting the superiority of the linear approach.

Conclusions:

  • The developed survival/death interface model is a valuable tool for optimizing HPP parameters.
  • The model enhances food safety by providing precise control over Listeria monocytogenes inactivation.
  • This predictive model facilitates flexible processing and informs HACCP plan development.