A Gravity-Driven Full-Scale Digital Lung Modeling Aerosol Deposition Hotspots and Localized Exposure Risks

Abstract

Exposure to hazardous aerosol represent critical driver of chronic and acute pulmonary diseases. Conventional inhalation risk assessments frequently rely on mean deposition indices and simplified mechanical models, failing to reproduce ventilatory heterogeneity, thereby masking regional difference in aerosol deposition. To elucidate the correlation between regional airflow dynamics and tissue vulnerability, we developed an anatomically full-scale digital lung model that incorporates nonlinear compliance and gravity-driven pleural pressure gradients to simulate particle deposition during quiet, up-right breathing in healthy adults. Numerical simulations of aerosol particles (0.1–10 µm) over a complete respiratory cycle revealed a distinct gravity-dependent heterogenous deposition pattern: The highest deposition intensity was observed in the right lower lobe and left lower lobe, while the lowest occurred in the right upper lobe. Three deposition hotspots were identified: two in the right lower lobe (0.53%/m²) and left lower lobe (0.51%/m²), spanning generations G21-G23 and enriched with particles of 3 µm in diameter, and one in the right lower lobe (0.48%/m²), spanning generations G7-G10 and enriched with particles of 10 µm in diameter. Additionally, we use wielding fume as an example to demonstrate how to quantitatively calculate the regional surface deposition density and exposure time required to reach cytotoxicity thresholds, highlighting the model’s ability to translate regional deposition patterns into biologically meaningful risk metrics. In conclusion, our full-scale digital lung model replicates human-specific airway branching and ventilation dynamics, offering a non-invasive digital platform for temporospatial evaluation of inhalation risks from hazardous aerosol.