Helium-Oxygen Mixture Model for Particle Transport in CT-Based Upper Airways.

Islam, MS; Gu, Y; Farkas, A; Paul, G; Saha, SC

Helium-Oxygen Mixture Model for Particle Transport in CT-Based Upper Airways.

Islam, MS Gu, Y Farkas, A Paul, G Saha, SC

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: International journal of environmental research and public health, 2020, 17, (10)
Issue Date:: 2020-05-20

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Field	Value	Language
dc.contributor.author	Islam, MS
dc.contributor.author	Gu, Y
dc.contributor.author	Farkas, A
dc.contributor.author	Paul, G
dc.contributor.author	Saha, SC
dc.date.accessioned	2021-01-15T04:54:20Z
dc.date.available	2020-05-19
dc.date.available	2021-01-15T04:54:20Z
dc.date.issued	2020-05-20
dc.identifier.citation	International journal of environmental research and public health, 2020, 17, (10)
dc.identifier.issn	1661-7827
dc.identifier.issn	1660-4601
dc.identifier.uri	http://hdl.handle.net/10453/145449
dc.description.abstract	The knowledge of respiratory particle transport in the extra-thoracic pathways is essential for the estimation of lung health-risk and optimization of targeted drug delivery. The published literature reports that a significant fraction of the inhaled aerosol particles are deposited in the upper airways, and available inhalers can deliver only a small amount of drug particles to the deeper airways. To improve the targeted drug delivery efficiency to the lungs, it is important to reduce the drug particle deposition in the upper airways. This study aims to minimize the unwanted aerosol particle deposition in the upper airways by employing a gas mixture model for the aerosol particle transport within the upper airways. A helium-oxygen (heliox) mixture (80% helium and 20% oxygen) model is developed for the airflow and particle transport as the heliox mixture is less dense than air. The mouth-throat and upper airway geometry are extracted from CT-scan images. Finite volume based ANSYS Fluent (19.2) solver is used to simulate the airflow and particle transport in the upper airways. Tecplot software and MATLAB code are employed for the airflow and particle post-processing. The simulation results show that turbulence intensity for heliox breathing is lower than in the case of air-breathing. The less turbulent heliox breathing eventually reduces the deposition efficiency (DE) at the upper airways than the air-breathing. The present study, along with additional patient-specific investigation, could improve the understanding of particle transport in upper airways, which may also increase the efficiency of aerosol drug delivery.
dc.format	Electronic
dc.language	eng
dc.publisher	MDPI
dc.relation	University of Technology Sydney
dc.relation.ispartof	International journal of environmental research and public health
dc.relation.isbasedon	10.3390/ijerph17103574
dc.rights	©2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open accessarticle distributed under the terms and conditions of the Creative Commons Attribution(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Toxicology
dc.subject.mesh	Humans
dc.subject.mesh	Oxygen
dc.subject.mesh	Helium
dc.subject.mesh	Aerosols
dc.subject.mesh	Tomography, X-Ray Computed
dc.subject.mesh	Air Movements
dc.subject.mesh	Particle Size
dc.subject.mesh	Humans
dc.subject.mesh	Oxygen
dc.subject.mesh	Helium
dc.subject.mesh	Aerosols
dc.subject.mesh	Tomography, X-Ray Computed
dc.subject.mesh	Air Movements
dc.subject.mesh	Particle Size
dc.subject.mesh	Aerosols
dc.subject.mesh	Air Movements
dc.subject.mesh	Helium
dc.subject.mesh	Humans
dc.subject.mesh	Oxygen
dc.subject.mesh	Particle Size
dc.subject.mesh	Tomography, X-Ray Computed
dc.title	Helium-Oxygen Mixture Model for Particle Transport in CT-Based Upper Airways.
dc.type	Journal Article
utslib.citation.volume	17
utslib.location.activity	Switzerland
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
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-01-15T04:53:55Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	17
utslib.citation.issue	10

Abstract:

The knowledge of respiratory particle transport in the extra-thoracic pathways is essential for the estimation of lung health-risk and optimization of targeted drug delivery. The published literature reports that a significant fraction of the inhaled aerosol particles are deposited in the upper airways, and available inhalers can deliver only a small amount of drug particles to the deeper airways. To improve the targeted drug delivery efficiency to the lungs, it is important to reduce the drug particle deposition in the upper airways. This study aims to minimize the unwanted aerosol particle deposition in the upper airways by employing a gas mixture model for the aerosol particle transport within the upper airways. A helium-oxygen (heliox) mixture (80% helium and 20% oxygen) model is developed for the airflow and particle transport as the heliox mixture is less dense than air. The mouth-throat and upper airway geometry are extracted from CT-scan images. Finite volume based ANSYS Fluent (19.2) solver is used to simulate the airflow and particle transport in the upper airways. Tecplot software and MATLAB code are employed for the airflow and particle post-processing. The simulation results show that turbulence intensity for heliox breathing is lower than in the case of air-breathing. The less turbulent heliox breathing eventually reduces the deposition efficiency (DE) at the upper airways than the air-breathing. The present study, along with additional patient-specific investigation, could improve the understanding of particle transport in upper airways, which may also increase the efficiency of aerosol drug delivery.

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http://hdl.handle.net/10453/145449