A computational approach to understand the breathing dynamics and pharmaceutical aerosol transport in a realistic airways.

Arsalanloo, Akbar, Abbasalizadeh Rajbari, Majid, Khalilian, Morteza, Ramezanpour, Ahad ORCID logoORCID: https://orcid.org/0000-0002-4076-2902, Islam, Mohammad S. and Saniee, Yalda (2022) A computational approach to understand the breathing dynamics and pharmaceutical aerosol transport in a realistic airways. Advanced Powder Technology, 33 (7). p. 103635. ISSN 1568-5527

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Abstract

Targeted drug delivery is an advanced method discussed in the literature for optimized treatment of diseases. However, the data for a precise understanding of pharmaceutical aerosol transport to the desired positions in the airways is not sufficient in the literature. Hence, in this work the transport and deposition of particles have been studied numerically in a realistic model of the respiratory system. The model was reconstructed based on CT-scan images of a healthy 28-year-old male and the commercial code ANSYS Fluent was used for analysis. After validation, distribution and deposition patterns of particles have been presented along with analysis of flow field dynamics. It was found that majority of particles enter the right lung while deposition is higher in the left lung and that the left lower lobe, left upper lobe and right lower lobe have the highest rate of lobar deposition. It was also observed that inertial impaction plays the dominant role in deposition of larger diameter particles at higher flow rates at the upper airways. The present findings improve our insight toward regional distribution and deposition of particles and assists in more accurate prediction of particle transport for drug delivery.

Item Type: Journal Article
Keywords: Targeted drug delivery, Realistic model of respiratory airways, Discrete Phase Model (DPM), Particle deposition, Eulerian-Lagrangian method
Faculty: Faculty of Science & Engineering
Depositing User: Dr Catherine Pearson
Date Deposited: 25 Aug 2022 11:56
Last Modified: 25 Aug 2022 11:56
URI: https://arro.anglia.ac.uk/id/eprint/707864

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