The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Regional Deposition of Particles in an Image-Based Airway Model: Large-Eddy Simulation and Left-Right Lung Ventilation Asymmetry
Open accessAbstract
Regional deposition and ventilation of particles by generation, lobe and lung during steady inhalation in a computed tomography (CT) based human airway model are investigated numerically. The airway model consists of a seven-generation human airway tree, with oral cavity, pharynx and larynx. The turbulent flow in the upper respiratory tract is simulated by large-eddy simulation. The flow boundary conditions at the peripheral airways are derived from CT images at two lung volumes to produce physiologically-realistic regional ventilation. Particles with diameter equal to or greater than 2.5 microns are selected for study because smaller particles tend to penetrate to the more distal parts of the lung. The current generational particle deposition efficiencies agree well with existing measurement data. Generational deposition efficiencies exhibit similar dependence on particle Stokes number regardless of generation, whereas deposition and ventilation efficiencies vary by lobe and lung, depending on airway morphology and airflow ventilation. In particular, regardless of particle size, the left lung receives a greater proportion of the particle bolus as compared to the right lung in spite of greater flow ventilation to the right lung. This observation is supported by the left-right lung asymmetry of particle ventilation observed in medical imaging. It is found that the particle-laden turbulent laryngeal jet flow, coupled with the unique geometrical features of the airway, causes a disproportionate amount of particles to enter the left lung.
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“Particle/fiber deposition can often be greatest in the lower lung fields [89].”
From Asbestos and Iron (2023) · cites this paper as [89]
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Elsayed, K., & Lacor, C. (2012) · Computers & Fluids · doi:10.1016/j.compfluid.2012.09.027 · Cited by 198
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Koullapis, P., Kassinos, S. C., Castro, J. M., Segarra, C. D. P., Rigola, J., Lehmkuhl, O., Cui, Y., Sommerfeld, M., Elcner, J., Jícha, M., et al. (2017) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2017.09.003 · Cited by 130
Metadata
- Authors
- Lambert, A. R., O'shaughnessy, P. T., Tawhai, M. H., Hoffman, E. A., & Lin, C.-L.
- Affiliations
- University of Iowa (US)
- University of Auckland (NZ)
- Corresponding author
- Lin, Ching-Long
- Venue
- Aerosol Science and Technology
- Publisher
- Informa UK Limited
- Published
- 2011-01
- Volume
- 45
- Issue
- 1
- Pages
- 11-25
- ISSN
- 0278-6826 (ISSN-L)
- 1521-7388
- PMC
- PMC3034252
- OpenAlex
- W2172012864
- Cited by
- 175
- References
- 62
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 9 · 2023: 15 · 2022: 10 · 2021: 11 · 2020: 17 · 2019: 11 · 2018: 12 · 2017: 14 · 2016: 8 · 2015: 10 · 2014: 8 · 2013: 11 · 2012: 9
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Aerosol Science and Technology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Funders
- Georgia Clinical and Translational Science Alliance
- National Institutes of Health (NIH-R01, 5r01hl064368-10, 1s10rr022421-01a2)
- National Heart, Lung, and Blood Institute (R01 HL-064368, R01HL094315)
- National Institute of Environmental Health Sciences (P30-ES-05605, ES05605, P30ES005605)
- National Institute of Biomedical Imaging and Bioengineering (R01EB005823)
- National Center for Research Resources (UL1RR024979, S10-RR022421)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Inhalation and Respiratory Drug Delivery
- Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Particle Dynamics in Fluid Flows
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Keywords
- particle deposition, regional lung ventilation, large eddy simulation, Stokes number, deposition efficiency, particle-laden flow
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