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Published on: February 22, 2015
Risk Assessment of Chemical Mixtures in Foods: A Comprehensive Methodological and Regulatory Review
Rosana González Combarros1, Mariano González-García1, Gerardo David Blanco-Díaz1
1Escuela Superior de Ingeniería y Tecnología (ESIT), Universidad Internacional de La Rioja-UNIR, Avenida de la Paz, 137, 26006 Logroño, Spain.
Dietary risk assessment for chemical mixtures has advanced using dose addition and probabilistic frameworks. This review synthesizes methods for assessing food xenobiotics, improving public health decision-making.
Area of Science:
- Food safety and toxicology
- Environmental health risk assessment
- Chemical mixture analysis
Background:
- Mixture risk assessment for food xenobiotics has evolved significantly over 15 years.
- Early methods like the Hazard Index (HI) have been succeeded by sophisticated, component-based, and probabilistic frameworks.
- These advancements are integrated into major food-safety institutions globally.
Purpose of the Study:
- To review methodological and regulatory progress in cumulative risk assessment for dietary mixtures of pesticides, contaminants, and other xenobiotics.
- To focus on food-relevant exposure scenarios and toxicological paradigms.
- To outline a coherent, tiered, and uncertainty-aware framework for assessing real-world dietary mixtures.
Main Methods:
- Synthesizing advances in toxicology, focusing on concentration/dose addition as the default model for similarly acting chemicals.
- Reviewing quantitative metrics like Relative Potency Factors (RPF), Toxic Equivalents (TEQ), Maximum Cumulative Ratio (MCR), and combined Margin of Exposure (MOET).
- Examining regulatory frameworks from EFSA, U.S. EPA, and FAO/WHO, and the role of Total Diet Studies and human biomonitoring.
Main Results:
- Dose addition is supported by evidence for environmental mixtures at low effect levels.
- Quantitative metrics operationalize component-based mixture assessment, aiding in risk characterization.
- Regulatory bodies are converging on tiered schemes, chemical grouping, and dose addition, with variations in implementation.
Conclusions:
- A coherent, tiered, and uncertainty-aware framework for assessing dietary xenobiotic mixtures is presented.
- Implementation relies on robust exposure data from Total Diet Studies and human biomonitoring.
- Future priorities include data-driven grouping, pharmacokinetic modeling, and refined mixture-sensitive indicators for public health.
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