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Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways
Aerosol and pollutants, in form of particulates 5–8 μm in main size face every day our respiratory system as natural suspension in air or forced to be inhaled as a coadjutant in a medical therapy for respiratory diseases. This inhalation happens in children to elderly, women and men, healthy or sick...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806585/ https://www.ncbi.nlm.nih.gov/pubmed/33441807 http://dx.doi.org/10.1038/s41598-020-80241-0 |
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author | Atzeni, Claudia Lesma, Gianluca Dubini, Gabriele Masi, Maurizio Rossi, Filippo Bianchi, Elena |
author_facet | Atzeni, Claudia Lesma, Gianluca Dubini, Gabriele Masi, Maurizio Rossi, Filippo Bianchi, Elena |
author_sort | Atzeni, Claudia |
collection | PubMed |
description | Aerosol and pollutants, in form of particulates 5–8 μm in main size face every day our respiratory system as natural suspension in air or forced to be inhaled as a coadjutant in a medical therapy for respiratory diseases. This inhalation happens in children to elderly, women and men, healthy or sick and disable people. In this paper we analyzed the inhalation of aerosol in conditions assimilable to the thermal therapy. We use a computational fluid dynamic 3D model to compute and visualize the trajectories of aerosol (3–7–10–25 µm) down to the sixth generation of bronchi, in a steady and dynamic condition (7 µm) set as breath cycle at rest. Results, compared to a set of milestone experimental studies published in literature, allow the comprehension of particles behavior during the inhalation from mouth to bronchi sixth generation, the visualization of jet at larynx constriction and vortices, in an averaged characteristic rigorous geometrical model including tracheal rings. Results on trajectories and deposition show the importance of the including transient physiological breath cycle on aerosol deposition analyses. Numerical and graphical results, may enable the design of medical devices and protocols to make the inhalations more effective in all the users’ population. |
format | Online Article Text |
id | pubmed-7806585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78065852021-01-14 Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways Atzeni, Claudia Lesma, Gianluca Dubini, Gabriele Masi, Maurizio Rossi, Filippo Bianchi, Elena Sci Rep Article Aerosol and pollutants, in form of particulates 5–8 μm in main size face every day our respiratory system as natural suspension in air or forced to be inhaled as a coadjutant in a medical therapy for respiratory diseases. This inhalation happens in children to elderly, women and men, healthy or sick and disable people. In this paper we analyzed the inhalation of aerosol in conditions assimilable to the thermal therapy. We use a computational fluid dynamic 3D model to compute and visualize the trajectories of aerosol (3–7–10–25 µm) down to the sixth generation of bronchi, in a steady and dynamic condition (7 µm) set as breath cycle at rest. Results, compared to a set of milestone experimental studies published in literature, allow the comprehension of particles behavior during the inhalation from mouth to bronchi sixth generation, the visualization of jet at larynx constriction and vortices, in an averaged characteristic rigorous geometrical model including tracheal rings. Results on trajectories and deposition show the importance of the including transient physiological breath cycle on aerosol deposition analyses. Numerical and graphical results, may enable the design of medical devices and protocols to make the inhalations more effective in all the users’ population. Nature Publishing Group UK 2021-01-13 /pmc/articles/PMC7806585/ /pubmed/33441807 http://dx.doi.org/10.1038/s41598-020-80241-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Atzeni, Claudia Lesma, Gianluca Dubini, Gabriele Masi, Maurizio Rossi, Filippo Bianchi, Elena Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways |
title | Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways |
title_full | Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways |
title_fullStr | Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways |
title_full_unstemmed | Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways |
title_short | Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways |
title_sort | computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806585/ https://www.ncbi.nlm.nih.gov/pubmed/33441807 http://dx.doi.org/10.1038/s41598-020-80241-0 |
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