Cited by 175Inhalation and Respiratory Drug DeliveryParticle Dynamics in Fluid FlowsAir Quality and Health Impacts

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Regional Deposition of Particles in an Image-Based Airway Model: Large-Eddy Simulation and Left-Right Lung Ventilation Asymmetry

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Lambert, Andrew R., O'shaughnessy, Patrick T., Tawhai, Merryn H., Hoffman, Eric A., Lin, Ching-Long·2011·Aerosol Science and Technology

DOI 10.1080/02786826.2010.517578PMC PMC3034252

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Abstract

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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Equation of motion for a small rigid sphere in a nonuniform flow
MAXEY, M. R., & Riley, J. J. (1983) · The Physics of Fluids · doi:10.1063/1.864230 · Cited by 3,476
An investigation of particle trajectories in two-phase flow systems
Morsi, S. A., & Alexander, A. J. (1972) · Journal of Fluid Mechanics · doi:10.1017/s0022112072001806 · Cited by 3,102
Aerosol Technology : Properties, Behavior, and Measurement of Airborne Particles
Hinds, W. C. (1982) · Cited by 1,479
An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications
Vreman, A. W. (2004) · Physics of Fluids · doi:10.1063/1.1785131 · Cited by 1,351
Experimental measurements and empirical modelling of the regional deposition of inhaled particles in humans
Chan, T. L., & Lippmann, M. (1980) · American Industrial Hygiene Association Journal · doi:10.1080/15298668091424942 · Cited by 404
Airflow and Particle Transport in the Human Respiratory System
Kleinstreuer, C., & Zhang, Z. (2009) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-121108-145453 · Cited by 382
Structure of a particle-laden round jet
Longmire, E. K., & Eaton, J. K. (1992) · Journal of Fluid Mechanics · doi:10.1017/s002211209200140x · Cited by 344
Particle Deposition in a Cast of Human Oral Airways
Cheng, Y., Zhou, Y., & Chen, B. T. (1999) · Aerosol Science and Technology · doi:10.1080/027868299304165 · Cited by 335
Characteristics of the turbulent laryngeal jet and its effect on airflow in the human intra-thoracic airways
Lin, C., Tawhai, M. H., McLennan, G., & Hoffman, E. A. (2007) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2007.02.006 · Cited by 316
Self-citation
Computational Fluid Dynamics Simulation of Airflow and Aerosol Deposition in Human Lungs
Nowak, N., Kakade, P. P., & Annapragada, A. (2003) · Annals of Biomedical Engineering · doi:10.1114/1.1560632 · Cited by 300

Show all 62 references

Research works printed but not linked: 3

Li Z., 2007, J. Aerosol Sci., 38, 624
Tawhai M. H., 2009, Sys. Biol. Med., 1, 61
Yin Y., 2009, SPIE Medical Imaging’09, 72620C

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Bjermer, L. H. (2011) · The Clinical Respiratory Journal · doi:10.1111/j.1752-699x.2011.00240.x · Cited by 11

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
ORCID: Lambert, Andrew R.
Tawhai, Merryn H.
Hoffman, Eric A.
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
DOI: 10.1080/02786826.2010.517578
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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Regional Deposition of Particles in an Image-Based Airway Model: Large-Eddy Simulation and Left-Right Lung Ventilation Asymmetry

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