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Detection of Foodborne Bacterial Pathogens from Individual Filth Flies

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Published on: February 13, 2015

A web-based microbiological hazard identification tool for infant foods.

Kah Yen Claire Yeak¹, Alexander Dank¹, Heidy M W den Besten¹

¹Food Microbiology, Wageningen University & Research, Wageningen, The Netherlands.

Food Research International (Ottawa, Ont.)

|February 3, 2024

Summary

A new online tool, the Microbiological Hazards IDentification (MiID) decision support system (DSS), systematically identifies microbiological hazards in infant foods. This tool aids food safety experts in hazard analysis and risk assessment for safer infant food chains.

Keywords:

Bacteria Decision support system (DSS)Foodborne pathogen Parasite Risk analysis Risk assessment Virus Young children

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Area of Science:

Food Microbiology
Food Safety
Risk Assessment

Background:

Ensuring microbiological safety in infant food chains is paramount for public health.
Existing methods for hazard identification can be inconsistent, risking overlooked or irrelevant microbiological hazards (MHs).

Purpose of the Study:

To develop and validate a systematic procedure and decision support system (DSS) for identifying MHs in infant foods.
To create an accessible online tool, the Microbiological Hazards IDentification (MiID) DSS, for food safety professionals.

Main Methods:

A five-step systematic procedure was developed: hazard-food pairing, inactivation efficiency, recontamination potential, growth opportunity, and hazard-food association.
These steps were integrated into the MiID DSS, an online tool accessible via a web application.
The MiID DSS was validated using four infant food case studies: infant formula, fruit puree, cereal-based meals, and fresh fruits.

Main Results:

The MiID DSS consistently identified the primary MHs in the tested infant food products.
Validation results demonstrated strong agreement between the MiID DSS findings and expert assessments.
The tool effectively structures the initial hazard identification steps within HACCP and risk assessment frameworks.

Conclusions:

The MiID DSS provides a structured, documented, and effective approach to MH identification in infant food chains.
This tool aids in balancing the identification of relevant MHs while minimizing irrelevant ones.
The MiID DSS has potential for future expansion to include new data and adaptation for general food products.