Abstract

The understanding of complex inhalation and transport processes of pollutant particles through the human respiratory system is important for investigations into dosimetry and respiratory health effects in various settings, such as environmental or occupational health. The studies over the last few decades for micro- and nanoparticle transport and deposition have advanced the understanding of drug-aerosol impacts in the mouth-throat and the upper airways. However, most of the Lagrangian and Eulerian studies have utilized the non-realistic symmetric anatomical model for airflow and particle deposition predictions. Recent improvements to visualization techniques using high-resolution computed tomography (CT) data and the resultant development of three dimensional (3-D) anatomical models support the realistic representation of lung geometry. Yet, the selection of different modelling approaches to analyze the transitional flow behavior and the use of different inlet and outlet conditions provide a dissimilar prediction of particle deposition in the human lung. Moreover, incorporation of relevant physical and appropriate boundary conditions are important factors to consider for the more accurate prediction of transitional flow and particle transport in human lung. This review critically appraises currently available literature on airflow and particle transport mechanism in the lungs, as well as numerical simulations with the aim to explore processes involved. Numerical studies found that both the Euler–Lagrange (E-L) and Euler–Euler methods do not influence nanoparticle (particle diameter ≤50 nm) deposition patterns at a flow rate ≤25 L/min. Furthermore, numerical studies demonstrated that turbulence dispersion does not significantly affect nanoparticle deposition patterns. This critical review aims to develop the field and increase the state-of-the-art in human lung modelling.

Highlights

  • Better knowledge of air exchange processes in breathing, coughing, and sneezing are important for improved respiratory health risk assessment

  • Quantitative information contained in a human lung anatomical model such as the number of generations and branches, dimensions, shapes, surfaces, geometric correlation, and arrangement is an important factor to consider in respiratory health risk assessment

  • The review focused on literature findingsinregarding the modelling anatomical development, experimental studies have improved our understanding of airflow patterns and particle in human airflow and particle transport or deposition in human lung

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Summary

Introduction

Better knowledge of air exchange processes in breathing, coughing, and sneezing are important for improved respiratory health risk assessment. A wide range of published literature has increased the knowledge of airflow characterization and particle transport in human lung. Res. Public Health 2020, 17, 380 particulate matter transport, movement, and deposition in the terminal airways is the primary step to predicting and helps preventing respiratory diseases. A wide range of studies has employed different calculation methods and anatomical models for airflow and particle transport in human airways. The objectives of the present review are (i) to examine the current state of anatomical lung model development (realistic and non-realistic); (ii) to evaluate airflow characterisation in a whole lung model; (iii) to compare microparticle transport and deposition (TD) in upper and lower airways predicted by different models, including the effects of ultrafine particle TD in extra-thoracic, and tracheobronchial airways

Conventional Non-Realistic Lung Model
Realistic Lung Model
Extrathoracic Region
Particle
Tracheobronchial Region
Alveolar Region
Extra Thoracic and Tracheobronchial Region
Deposition pattern comparison
Polydisperse Particle Transport and Deposition
Discussions
Lung Anatomical Model
Numerical Approach
Boundary Conditions
Particle–Particle Interaction
Findings
Conclusions
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