Ultrafine particle transport and deposition in a large scale 17-generation lung model

Islam, MS; Saha, SC; Sauret, E; Gemci, T; Yang, IA; Gu, YT

Ultrafine particle transport and deposition in a large scale 17-generation lung model

Islam, MS Saha, SC

Sauret, E Gemci, T Yang, IA Gu, YT

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Publication Type:: Journal Article
Citation:: Journal of Biomechanics, 2017, 64 pp. 16 - 25
Issue Date:: 2017-11-07

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Field	Value	Language
dc.contributor.author	Islam, MS	en_US
dc.contributor.author	Saha, SC https://orcid.org/0000-0002-9962-8919	en_US
dc.contributor.author	Sauret, E	en_US
dc.contributor.author	Gemci, T	en_US
dc.contributor.author	Yang, IA	en_US
dc.contributor.author	Gu, YT	en_US
dc.date.available	2020-05-25T19:02:59Z
dc.date.issued	2017-11-07	en_US
dc.identifier.citation	Journal of Biomechanics, 2017, 64 pp. 16 - 25	en_US
dc.identifier.issn	0021-9290	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123926
dc.description.abstract	© 2017 Elsevier Ltd To understand how to assess optimally the risks of inhaled particles on respiratory health, it is necessary to comprehend the uptake of ultrafine particulate matter by inhalation during the complex transport process through a non-dichotomously bifurcating network of conduit airways. It is evident that the highly toxic ultrafine particles damage the respiratory epithelium in the terminal bronchioles. The wide range of in silico available and the limited realistic model for the extrathoracic region of the lung have improved understanding of the ultrafine particle transport and deposition (TD) in the upper airways. However, comprehensive ultrafine particle TD data for the real and entire lung model are still unavailable in the literature. Therefore, this study is aimed to provide an understanding of the ultrafine particle TD in the terminal bronchioles for the development of future therapeutics. The Euler-Lagrange (E-L) approach and ANSYS fluent (17.2) solver were used to investigate ultrafine particle TD. The physical conditions of sleeping, resting, and light activity were considered in this modelling study. A comprehensive pressure-drop along five selected path lines in different lobes was calculated. The non-linear behaviour of pressure-drops is observed, which could aid the health risk assessment system for patients with respiratory diseases. Numerical results also showed that ultrafine particle-deposition efficiency (DE) in different lobes is different for various physical activities. Moreover, the numerical results showed hot spots in various locations among the different lobes for different flow rates, which could be helpful for targeted therapeutical aerosol transport to terminal bronchioles and the alveolar region.	en_US
dc.relation.ispartof	Journal of Biomechanics	en_US
dc.relation.isbasedon	10.1016/j.jbiomech.2017.08.028	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Biomedical Engineering	en_US
dc.subject.mesh	Lung	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Aerosols	en_US
dc.subject.mesh	Exercise	en_US
dc.subject.mesh	Sleep	en_US
dc.subject.mesh	Biological Transport	en_US
dc.subject.mesh	Particle Size	en_US
dc.subject.mesh	Models, Biological	en_US
dc.subject.mesh	Computer Simulation	en_US
dc.subject.mesh	Nanoparticles	en_US
dc.title	Ultrafine particle transport and deposition in a large scale 17-generation lung model	en_US
dc.type	Journal Article
utslib.citation.volume	64	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	1106 Human Movement and Sports Sciences	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	64	en_US

Abstract:

© 2017 Elsevier Ltd To understand how to assess optimally the risks of inhaled particles on respiratory health, it is necessary to comprehend the uptake of ultrafine particulate matter by inhalation during the complex transport process through a non-dichotomously bifurcating network of conduit airways. It is evident that the highly toxic ultrafine particles damage the respiratory epithelium in the terminal bronchioles. The wide range of in silico available and the limited realistic model for the extrathoracic region of the lung have improved understanding of the ultrafine particle transport and deposition (TD) in the upper airways. However, comprehensive ultrafine particle TD data for the real and entire lung model are still unavailable in the literature. Therefore, this study is aimed to provide an understanding of the ultrafine particle TD in the terminal bronchioles for the development of future therapeutics. The Euler-Lagrange (E-L) approach and ANSYS fluent (17.2) solver were used to investigate ultrafine particle TD. The physical conditions of sleeping, resting, and light activity were considered in this modelling study. A comprehensive pressure-drop along five selected path lines in different lobes was calculated. The non-linear behaviour of pressure-drops is observed, which could aid the health risk assessment system for patients with respiratory diseases. Numerical results also showed that ultrafine particle-deposition efficiency (DE) in different lobes is different for various physical activities. Moreover, the numerical results showed hot spots in various locations among the different lobes for different flow rates, which could be helpful for targeted therapeutical aerosol transport to terminal bronchioles and the alveolar region.

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http://hdl.handle.net/10453/123926