Experts Explain How Probabilistic Exposure Assessments Enhance Food Chemical Risk Management

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Protecting public health from chemical hazards in food requires more than identifying potential risks—it demands a clear understanding of how and to what extent populations are exposed. Increasingly, decision-makers are turning to Probabilistic Exposure Assessments (PEAs) to quantify dietary exposures and inform science-based risk management strategies.
A new study supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Food and Chemical Safety Committee highlights how PEAs integrate exposure data with mathematical modeling to provide a more accurate picture of chemical intake across diverse population groups. These tools are particularly valuable in estimating the proportion of individuals who may consume higher-than-average doses of specific chemicals.
Unlike deterministic methods, which often overestimate exposure due to conservative assumptions, probabilistic techniques account for variability and uncertainty. This helps avoid the pitfalls of “compounding conservatism”—a phenomenon where layered conservative estimates distort actual risk levels.
Chemicals can enter the food supply at multiple stages, from cultivation and processing to packaging and distribution. Whether intentionally added or inadvertently introduced, these compounds must be evaluated in context. PEAs allow regulators to assess cumulative and aggregate exposures, modeling intake from multiple foods and routes (e.g., air, consumer products) to calculate total daily dose.
The most widely used PEA methods rely on Monte Carlo simulations, implemented through commercial software like @Risk and Analytica, custom-built platforms, or publicly available tools such as FDA-iRISK. These approaches span acute and chronic exposure scenarios and can be tailored to specific life stages or longitudinal patterns.
Lead author Greg Paoli, M.A.Sc., CEO and Principal Scientist at Risk Sciences International, says that the publication aims to demystify PEAs by offering a comprehensive overview of their history, applications, and regulatory guidance. “Our goal was to provide a single resource that covers the 'who,' 'what,' 'why,' 'when,' and 'how' of PEAs,” Mr. Paoli said. “We also addressed barriers to adoption and proposed solutions to encourage broader use.”
The expert authors emphasize that, as food safety professionals seek to refine chemical risk assessments, PEAs offer a robust, transparent framework for evaluating exposure and guiding protective action.
A new study supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Food and Chemical Safety Committee highlights how PEAs integrate exposure data with mathematical modeling to provide a more accurate picture of chemical intake across diverse population groups. These tools are particularly valuable in estimating the proportion of individuals who may consume higher-than-average doses of specific chemicals.
Unlike deterministic methods, which often overestimate exposure due to conservative assumptions, probabilistic techniques account for variability and uncertainty. This helps avoid the pitfalls of “compounding conservatism”—a phenomenon where layered conservative estimates distort actual risk levels.
Chemicals can enter the food supply at multiple stages, from cultivation and processing to packaging and distribution. Whether intentionally added or inadvertently introduced, these compounds must be evaluated in context. PEAs allow regulators to assess cumulative and aggregate exposures, modeling intake from multiple foods and routes (e.g., air, consumer products) to calculate total daily dose.
The most widely used PEA methods rely on Monte Carlo simulations, implemented through commercial software like @Risk and Analytica, custom-built platforms, or publicly available tools such as FDA-iRISK. These approaches span acute and chronic exposure scenarios and can be tailored to specific life stages or longitudinal patterns.
Lead author Greg Paoli, M.A.Sc., CEO and Principal Scientist at Risk Sciences International, says that the publication aims to demystify PEAs by offering a comprehensive overview of their history, applications, and regulatory guidance. “Our goal was to provide a single resource that covers the 'who,' 'what,' 'why,' 'when,' and 'how' of PEAs,” Mr. Paoli said. “We also addressed barriers to adoption and proposed solutions to encourage broader use.”
The expert authors emphasize that, as food safety professionals seek to refine chemical risk assessments, PEAs offer a robust, transparent framework for evaluating exposure and guiding protective action.








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