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Local Scale Exposure and Fate of Engineered Nanomaterials
Mikko Poikkimäki1,2, Joris T K Quik3, Arto Säämänen1
1Occupational Safety, Finnish Institute of Occupational Health, Työterveyslaitos, FI-33032 Tampere, Finland.
Toxics
|July 25, 2022
Summary
Engineered nanomaterials (ENMs) released from production can pose risks. This study models local exposure near facilities, suggesting a new approach for accurate risk assessment and management.
Area of Science:
- Environmental Science and Engineering
- Nanomaterial Risk Assessment
- Atmospheric Dispersion Modeling
Background:
- Nanotechnology drives industrial innovation, utilizing engineered nanomaterials (ENMs).
- ENM releases into the atmosphere from production facilities are a concern for human health and environmental impact.
- Existing exposure models often use broad regional compartments, potentially underestimating local risks.
Purpose of the Study:
- To compare ENM concentrations predicted by a dispersion model versus a uniform mixing approach.
- To assess local-scale atmospheric exposure and deposition of ENMs near production sites.
- To propose improvements for nanomaterial exposure modeling and risk governance.
Main Methods:
- Utilized case study measurement data from two TiO2 nanomaterial handling facilities for realistic release scenarios.
- Employed atmospheric dispersion modeling to predict ENM concentrations and deposition fluxes.
- Calculated deposition distances to define local versus regional exposure scales.
Main Results:
- Dispersion modeling revealed potentially higher airborne ENM concentrations and deposition fluxes near production facilities compared to uniform mixing.
- Identified specific distances for significant ENM deposition, delineating local high-exposure zones.
- Demonstrated the inadequacy of purely regional models for localized ENM release events.
Conclusions:
- A local-scale compartment should be integrated into multicompartment nanomaterial exposure models.
- A computational tool for local exposure assessment is presented for regulatory use.
- Improved modeling enhances risk governance for ENM releases in industrial settings.

