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Issues to consider when setting intervention targets with limited data for low-moisture food commodities: a peanut
Donald W Schaffner1, Robert L Buchanan, Stephen Calhoun
1Department of Food Science, Rutgers University, 65 Dudley Road, New Brunswick, NJ 08901, USA. schaffner@aesop.rutgers.edu
Journal of Food Protection
|February 26, 2013
Summary
Managing salmonellosis risk in peanuts requires a science-informed policy decision. A 5-log reduction is acceptable for low contamination levels, but data and models may refine targets for peanut products.
Area of Science:
- Food Microbiology
- Risk Assessment
- Food Safety Science
Background:
- Peanut products are linked to global salmonellosis outbreaks.
- Limited data complicates risk management in low-moisture foods like peanuts.
Purpose of the Study:
- Develop a risk management framework for peanuts.
- Determine appropriate statistical and scientific methods for log reduction targets with limited data.
Main Methods:
- Workshop convened by International Life Sciences Institute and American Peanut Council.
- Discussion on statistical methods, data quantity, and 5-log reduction appropriateness.
- Exploration of transferable risk models from other low-moisture foods.
Main Results:
- Sufficient data judgment is a science-informed policy decision, not purely scientific.
- Modeling should integrate sampling to compare prevalence and concentration assumptions.
- A 5-log reduction is acceptable for low contamination (<1 CFU/g) and controlled processes.
Conclusions:
- Risk management for peanuts requires balancing scientific data with societal issues.
- Existing models for almonds and pistachios may apply to peanuts.
- Future data may support alternatives to the 5-log reduction for peanut products.
