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Updated: Nov 3, 2025

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An Air-liquid Interface Bronchial Epithelial Model for Realistic, Repeated Inhalation Exposure to Airborne Particles for Toxicity Testing
Published on: May 13, 2020
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New Approach Methodology for Assessing Inhalation Risks of a Contact Respiratory Cytotoxicant: Computational Fluid
Richard A Corley1, Andrew P Kuprat1, Sarah R Suffield1
1Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
Summary
Computational fluid-particle dynamics models estimate inhaled fungicide deposition in rats and humans, supporting in vitro toxicity assessments and reducing animal testing for regulatory risk evaluation.
Area of Science:
- Toxicology
- Computational modeling
- Inhalation exposure science
Background:
- Regulatory agencies seek alternatives to animal testing for inhalation toxicity assessments.
- In vitro and in silico methods are emerging as viable alternatives.
- Fungicides like chlorothalonil require robust risk assessment for human and environmental safety.
Purpose of the Study:
- To develop computational fluid-particle dynamics (CFPD) models for estimating inhaled aerosol deposition in rats and humans.
- To compare deposition patterns in rats with existing inhalation toxicity data.
- To provide data for human in vitro toxicity studies and reduce reliance on animal testing.
Main Methods:
- Development of CFPD models to simulate aerosol deposition in rat and human respiratory tracts.
- Simulation of various aerosol sizes (1-50 µm) under different breathing conditions (nasal/oral).
- Application of the International Commission on Radiological Protection (ICRP) clearance model to calculate local tissue dose metrics.
Main Results:
- In rats, deposition was highest in the anterior nasal regions, larynx, and transitional epithelium.
- In humans, aerosols of 1-5 µm penetrated deep into the lungs, while larger aerosols (>10 µm) deposited primarily in the upper airways.
- Deposition in the pharynx, larynx, trachea, and bronchi was greatest for 10-20 µm aerosols; larger aerosols showed limited penetration.
Conclusions:
- CFPD models accurately predict inhalation exposure relevant to in vitro and in silico toxicology.
- Estimated human equivalent concentrations derived from deposition data reduce the need for animal studies in risk assessment.
- This approach supports regulatory acceptance of non-animal testing methods for inhalation toxicity.

