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Monte Carlo simulation of pathogen behavior during the sprout production process
Rebecca Montville1, Donald Schaffner
1Food Risk Analysis Initiative, Rutgers University, 65 Dudley Rd., New Brunswick, NJ 08901-8520, USA.
Applied and Environmental Microbiology
|February 5, 2005
Summary
Food-borne disease outbreaks from raw sprouts are a concern. A Monte Carlo simulation identified end-of-sprout sampling as most effective for pathogen detection, guiding risk reduction strategies.
Area of Science:
- Food safety
- Microbiology
- Risk assessment
Background:
- Food-borne disease outbreaks linked to raw sprouts have increased.
- Pathogen contamination in sprouts poses a significant public health risk.
Purpose of the Study:
- To develop a Monte Carlo simulation model for sprout production.
- To identify optimal pathogen control points in sprout production.
Main Methods:
- Literature review and data compilation.
- Development of a Monte Carlo simulation model using Analytica software.
- Modeling factors including initial contamination, seed disinfection, and various sampling strategies.
Main Results:
- Pathogen concentration and contamination uniformity significantly impact contaminated batch predictions.
- End-of-sprout and irrigation water sampling are more effective for pathogen detection than pre-production seed sampling.
- Seed disinfection can reduce contamination but may hinder pathogen detection.
Conclusions:
- The simulation model effectively identifies critical control points for pathogen reduction in sprout production.
- Sampling strategies at the end of the sprouting process are recommended for pathogen detection.
- Further research and risk reduction strategy comparisons can be guided by this simulation.