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Advancing Methodologies Used in Trace Element-Based Mass Balance Studies to Separately Estimate Soil and Dust
Haluk Özkaynak1, Jonathan Cohen2, Heidi Hubbard2
1Independent Consultant, Laguna Woods, CA, United States.
This study developed a new model to differentiate soil and dust ingestion in children, finding lower soil ingestion rates than previous methods. The new approach better estimates children's exposure in contaminated environments.
Area of Science:
- Environmental Health
- Toxicology
- Exposure Science
Background:
- Historically, trace element-based mass balance (MB) studies estimated soil ingestion rates for risk assessments in contaminated communities.
- The MB approach cannot distinguish between soil and dust ingestion, despite their differing characteristics.
- Previous alternative methods yielded results inconsistent with MB studies.
Purpose of the Study:
- To evaluate the limitations of the mass balance (MB) methodology for estimating soil ingestion rates.
- To develop a hybrid physical model separating outdoor soil, indoor tracked-in soil, and total dust ingestion exposures in children.
- To characterize environmental and behavioral determinants of children's soil and dust ingestion.
Main Methods:
- Formulated a hybrid physical model integrating data from five MB studies.
- Utilized SHEDS-Soil/Dust time-activity pattern-based modeling runs for new data.
- Explicitly separated outdoor soil, indoor tracked-in soil (dust component), and total dust ingestion pathways.
Main Results:
- Predicted mean soil ingestion rates were 30%-70% lower than MB-based 'total soil' ingestion rates.
- Predicted dust ingestion rates generally exceeded predicted soil ingestion rates.
- Predicted total soil plus dust ingestion rates were up to 60% higher than MB-based 'total soil' rates.
Conclusions:
- The hybrid model provides a more accurate assessment of children's soil and dust ingestion exposures.
- Outdoor soil contributed 29%-70% to total soil ingestion, while tracked-in soil comprised 30%-71% of indoor dust ingestion.
- This refined methodology improves exposure assessment accuracy for children in chemically contaminated environments.
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