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Extending Regulatory Biokinetic Lead Models towards Food Safety: Evaluation of Consumer Baby Food Contribution to Infant Blood Lead Levels and Variability.
Price, Skyler A; Maddaloni, Mark A; Finley, Brent L; Thornton, Stephanie A; Unice, Ken M.
Afiliação
  • Price SA; Stantec ChemRisk, Brooklyn, New York, NY 11201-1217, USA.
  • Maddaloni MA; Stantec ChemRisk, Brooklyn, New York, NY 11201-1217, USA.
  • Finley BL; Stantec ChemRisk, Brooklyn, New York, NY 11201-1217, USA.
  • Thornton SA; Stantec ChemRisk, Pittsburgh, PA 15222-4801, USA.
  • Unice KM; Stantec ChemRisk, Pittsburgh, PA 15222-4801, USA.
Foods ; 12(14)2023 Jul 18.
Article em En | MEDLINE | ID: mdl-37509824
The U.S. Food and Drug Administration released proposed lead (Pb) action levels for foods intended for babies and young children in January 2023 based on the agency's interim reference value of 2.2 µg/day for dietary Pb. Since the 1980s, biokinetic models have estimated blood lead levels (BLLs) associated with environmental contamination, but their use in food safety assessment has been limited. We compared three recent biokinetic models (IEUBK Model, ICRP Model Version 5, and AALM) to develop insights on contributors to variability in potential exposures to Pb in consumer baby food products. While modest variation was observed for babies, the predictions trended to convergence for children aged 3 and older, approaching the U.S. FDA dietary conversion factor of 0.16 µg Pb/dL blood per µg Pb intake/day. We applied the IEUBK model in a probabilistic exposure assessment framework characterizing the distribution of Pb in soil, dust, water, and food intake in the United States. Soil and dust were the primary contributors to variance in infant BLLs, while food and water contributed <15% combined. Thus, reductions in upper-bound soil and dust concentrations will be necessary before achieving appreciable reductions in the frequency of BLLs greater than the BLRV of 3.5 µg/dL.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça