Training in Statistical Methods for Microbial Risk Assessment
Author Information
Author(s): Ehtesham Abdul Muhammad, Filipello Virginia, Fernandèz Escàmez Pablo S., Perez Alberto Garre
Primary Institution: Istituto zooprofilattico della Lombardia e dell'Emilia Romagna
Hypothesis
How can modern statistical methodologies and software tools improve the analysis of microbial risk assessment models for plant-based food products?
Conclusion
The fellowship provided comprehensive training in quantitative microbial risk assessment, focusing on the risks associated with plant-based milk products and the thermal resistance of Bacillus cereus.
Supporting Evidence
- The fellowship focused on the risks associated with plant-based milk products, which are increasingly popular.
- Training included hands-on experience with methodologies and software tools for constructing QMRA models.
- The fellow developed skills in microbiological techniques and data analysis using the R programming language.
Takeaway
This study taught a fellow how to assess the safety of plant-based milks by understanding how bacteria can survive heat treatments. They learned to use special software to predict risks.
Methodology
The study involved hands-on training in microbiological techniques and data analysis using R programming, focusing on the thermal resistance of Bacillus cereus strains.
Digital Object Identifier (DOI)
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