Integrated Quality Prediction Model for Food Quality Management Based on E. coli in Shared Kitchens
2024
Predicting Food Quality in Shared Kitchens
publication
10 minutes
Evidence: moderate
Author Information
Author(s): Roh Taeyeoun, Song Youngchul, Yoon Byungun
Primary Institution: Dongguk University
Hypothesis
Can a predictive model effectively manage food quality in shared kitchens using E. coli as an indicator?
Conclusion
The study developed a predictive model that can help manage food quality in shared kitchens by monitoring E. coli levels.
Supporting Evidence
- The model uses E. coli as a practical indicator for measuring food safety.
- Quality management in shared kitchens is complicated by multiple stakeholders.
- The study proposes a standard cooking process for non-heated food.
Takeaway
This study created a way to check if food is safe in shared kitchens by looking at how much E. coli is present.
Methodology
The study used a modified Gompertz growth curve and transfer rate equations to develop a predictive model for food quality.
Limitations
The model simplified variables and did not account for all factors affecting E. coli levels.
Digital Object Identifier (DOI)
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