Risk assessment of aflatoxin in Iowa corn post-harvest using an event tree analysis: A case study
Emily Branstad-Spates1, Gretchen A Mosher1, Erin Bowers1
1Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, USA.
Aflatoxin (AFL) contamination in corn poses risks to food and animal feed. This study used event tree analysis to find a nearly 50% failure rate in detecting AFL, highlighting the need for better risk management.
Area of Science:
- Agricultural science
- Food safety
- Mycotoxicology
Background:
- Mycotoxins, such as aflatoxin (AFL), are fungal metabolites in corn, with increasing global prevalence due to climate change.
- AFL poses significant risks to human and animal health, traversing complex US grain supply chains.
- Effective risk management of AFL in corn, a vital food and feed source, is crucial.
Purpose of the Study:
- To quantify the probabilities of critical events related to AFL in corn within Food Safety Modernization Act-regulated entities using event tree analysis (ETA).
- To develop targeted recommendations for AFL risk management based on ETA findings.
Main Methods:
- An event tree analysis (ETA) was employed, utilizing historical AFL prevalence data in Iowa exceeding a 20-part per billion (ppb) threshold.
- The analysis focused on identifying single-point failures within feed safety systems designed to detect AFL contamination.
Main Results:
- The study identified four single-point failures where safety countermeasures failed to detect AFL contamination (>20 ppb).
- The system demonstrated an average success rate of 50.14% and a failure rate of 49.86% in detecting contaminated corn.
- Failure was defined as a Type II error: failing to detect corn with AFL >20 ppb.
Conclusions:
- Risk-informed decisions are essential for effective AFL monitoring in corn.
- Timely intervention strategies are necessary to mitigate the impact of AFL on end users.
- The high failure rate underscores the need for improved detection and management systems for AFL in the corn supply chain.
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