Pulmonary aerosol transport and deposition analysis in upper 17 generations of the human respiratory tract
| Autor: | Suvash Saha, Yuantong Gu, Ian Yang, Tevfik Gemci, Mohammad Saidul Islam, Emilie Sauret |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Atmospheric Science
Environmental Engineering 010504 meteorology & atmospheric sciences Nanotechnology 01 natural sciences 03 medical and health sciences 0302 clinical medicine medicine Respiratory system 0105 earth and related environmental sciences Fluid Flow and Transfer Processes Lung Chemistry Mechanical Engineering respiratory system Pollution respiratory tract diseases Aerosol medicine.anatomical_structure Deposition (aerosol physics) 030228 respiratory system Breathing Particle Airway Biomedical engineering Respiratory tract |
| Zdroj: | Journal of Aerosol Science. 108:29-43 |
| ISSN: | 0021-8502 |
| DOI: | 10.1016/j.jaerosci.2017.03.004 |
| Popis: | Highlights - Advanced numerical model for micro-particle TD in the human lung is developed. - This study is conducted for 17-generation lung geometry for the first time. - The particle diameter effects are investigated for different breathing conditions. - This study will help pharmaceutical companies to design new drug delivery tools. Abstract The major problem in understanding the therapeutically targeted drug delivery system in the deeper airways of the human lung is the lack of adequate data of particle transport and deposition (TD) in the transitional and respiratory zones (deeper airways) of the human lung. An understanding of the morphometry of the pulmonary airways and the lungs forms the primary step in a study of pulmonary aerosol deposition. The present study is the first-ever approach to explore the pulmonary aerosol TD in a digital 17-generation human pulmonary airway model. The present numerical study achieved the lack of the particle TD data in the deeper airways of the human lung. This paper presents a 3-D (3-dimensioanl) CFD (Computational Fluid Dynamics) study of an anatomically realistic 17-generation lung bronchial tree model based on the high-resolution computer tomography (HRCT) data by Schmidt et al., (2004). Physical morphometry is necessary for sufficiently calculating air and particle dynamics in human pulmonary airways with available data on a large number of generations. A Lagrangian-based Discrete Phase Model (DPM) is used to study the particle TD in the 17-generation of the lung airways. The numerical results demonstrate that inertial impaction is dominant in the upper airways and a large percentage of particles is deposited in the upper airways. The numerical results also illustrate that a large percentage of smaller diameter particles leaves through the airway outlet boundary at the 17th generation irrespective of breathing patterns. The escaped particles are considered to continue to follow the airway flow field further downstream after the 17th generation till the 23rd generation and some of them will reach the alveolar sacs region. This computational model could potentially aid in overcoming the nanobiotechnology toxicity problem for drug delivery in the deeper airways. |
| Databáze: | OpenAIRE |
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