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Effect of morphology on nanoparticle transport and deposition in human upper tracheobronchial airways

journal contribution
posted on 2024-11-02, 07:19 authored by Yidan Shang, Lin TianLin Tian, Yaming Fan, Jingliang DongJingliang Dong, Kiao InthavongKiao Inthavong, Jiyuan TuJiyuan Tu
Aerosol transport and deposition in human lungs has attracted considerable attention in the past few years, as it has significant value to the study of toxicity consequence as well as therapeutic potential in occupational health and medical applications. In reproducing human tracheobronchial airways, two approaches were frequently taken: (1) anatomical realistic reconstruction through image scans (e.g. CT and MRI) or cadaver casts and (2) mathematical description using simplified models. Strengths and limitations are primarily focused on accuracy, resolution, repeatability, and computational\physical expenses. While both approaches were reported in literature, detailed comparison of aerosol transport and deposition in the two representations were scarcely performed, largely due to the challenge to acquire comprehensive data from the irregular structured airway replicas (approach 1). To fill the gap, the current study performed a numerical comparison of nanoparticle transport and deposition in human upper tracheobronchial airways by using an anatomical realistic reconstruction (through CT scans) and a mathematically simplified airway model. As the first step, the current study was focused on the variation in breathing airflow pattern and the effect towards fate of the inhaled nanoparticles in human upper tracheobronchial airways. The study provided important information to understand geometric sensitivity of nanoparticle modeling in the human tracheobronchial tree and is of significant value to predict the whole lung uptake of inhaled nanoparticles in the human respiratory system. © 2018, The Author(s) 2018.

Funding

A multi-scale risk assessment platform for inhaled carbon nanotubes

Australian Research Council

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A Multiscale Modelling Platform for Nanoparticle Inhalation Risk Assessment

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1177/1757482X18756012
  2. 2.
    ISSN - Is published in 1757482X

Journal

Journal of Computational Multiphase Flows

Volume

10

Issue

2

Start page

83

End page

96

Total pages

14

Publisher

Sage

Place published

United Kingdom

Language

English

Copyright

© 2018, The Author(s) 2018 Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License

Former Identifier

2006084551

Esploro creation date

2020-06-22

Fedora creation date

2018-09-20

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