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Related Experiment Videos

Predictive Microbiology and HACCP.

Philip H Elliott1

  • 1Campbell Soup. Company, Campbell Research and Development, Campbell Place, Camden, New Jersey 08103, USA.

Journal of Food Protection
|April 7, 2017
PubMed
Summary
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Predictive microbiology models enhance Hazard Analysis Critical Control Point (HACCP) systems by aiding risk assessment and defining critical control points (CCPs). These models offer flexibility in process parameters for food safety.

Area of Science:

  • Food Science
  • Microbiology
  • Risk Management

Background:

  • Predictive microbiology and HACCP are developing food safety tools.
  • Predictive models can support HACCP system development and maintenance.

Purpose of the Study:

  • To explore the utility of predictive microbiology models in HACCP.
  • To demonstrate how models can improve risk assessment and CCP definition.

Main Methods:

  • Utilizing predictive models for risk assessment (probability and consequence).
  • Establishing critical limits for CCPs using model-derived parameter ranges.
  • Exploring rule-based expert systems and real-time process control with models.

Main Results:

  • Models enable more processing options while ensuring safety.
Keywords:
HACCPfood processingfood safetyfuzzy logicmicrobiological modelspredictive modeling

Related Experiment Videos

  • Validation testing for CCPs can be reduced with similar food type models.
  • Models aid in automating HACCP plan development and deviation evaluation.

    • Conclusions:

    • Predictive microbiology models are valuable tools for HACCP implementation.
    • Models facilitate risk assessment and define parameters for acceptable risk levels.