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Exposure Scenarios for Estimating Contaminant Levels in Healthy Sustainable Dietary Models: Omnivorous vs.

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This study assessed food contaminant (FC) mixtures in dietary models. Omnivorous diets showed higher FCs, with some exceeding safety levels at higher exposure percentiles.

Keywords:
FAIR databasedietary modelsfood contaminantshazard assessmentomnivorous dietvegetarian diet

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Area of Science:

  • Food safety and toxicology
  • Dietary exposure assessment
  • Environmental chemistry

Background:

  • Consumers face regular exposure to food contaminants (FCs), often assessed individually.
  • Limited understanding exists regarding combined FC levels and their relation to dietary patterns.

Purpose of the Study:

  • To estimate real-life FC mixtures across different dietary models.
  • To integrate extensive scientific literature on FC quantification in foods.
  • To build a FAIR database for 73 FCs in 16 common foods.

Main Methods:

  • Developed a FAIR database of FC occurrence in 16 foods.
  • Integrated data into omnivorous and vegetarian dietary models.
  • Calculated weighted estimates for 25th, 50th, and 75th percentiles of FCs.

Main Results:

  • Omnivorous diets exhibited slightly higher overall FC levels than vegetarian diets.
  • At the 25th percentile, most FCs were within European Food Safety Authority (EFSA) reference exposure levels, except for arsenic, lead, cadmium, fumonisin B1, and OTA.
  • At the 75th percentile, FC levels exceeded EFSA reference levels for specific contaminants and additional mycotoxins.

Conclusions:

  • The 25th percentile of FC exposure in vitro mimics real-life scenarios.
  • The 75th percentile simulates a potential worst-case exposure scenario.
  • Dietary choices significantly influence the mixture and levels of food contaminants.