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Biglarian, M.* ; MomeniLarimi, M.* ; Firoozabadi, B.* ; Inthavong, K.* ; Farnoud, A.

Targeted drug delivery with polydisperse particle transport and deposition in patient-specific upper airway during inhalation and exhalation.

Respir. Physiol. Neurobiol. 308:103986 (2022)

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Identifying the deposition pattern of inhaled pharmaceutical aerosols in the human respiratory system and understanding the effective parameters in this process is vital for more efficient drug delivery to this region. This study investigated aerosol deposition in a patient-specific upper respiratory airway and determined the deposition fraction (DF) and pressure drop across the airway. An experimental setup was developed to measure the pressure drop in the same realistic geometry printed from the patient-specific geometry. The unsteady simulations were performed with a flow rate of 15 L/min and different particle diameters ranging from 2 to 30 µm. The results revealed significant flow circulation after the nasal valve in the upper and oropharynx regions, and a maximum local velocity observed in the nasopharynx. Transient cumulative deposition fraction showed that after 2 s of the simulation, all particles deposit or escape the computational domain. About 30 % of the injected large particles (d_p ≥ 20 µm) deposited in the first 1 cm away from the nostril and more than 95 % deposited in the nasal airway before entering the oropharynx region. While almost 94 % deposition in trachea was composed of particles smaller than 5 µm. Approximately 20 % of inhaled fine particles (2-5 µm) deposited in the upper airway and the rest deposited in oropharynx, larynx and trachea.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Computational Model ; Drug Delivery ; Eulerian Lagrangian Model ; Pharmaceutical Microparticles ; Upper Airway; Human Nasal Cavity; Microparticle Deposition; Olfactory Deposition; Flow; Simulation; Model; Patterns

e-ISSN 1569-9048

Journal Respiratory physiology & neurobiology

Quellenangaben Volume: 308, Article Number: 103986

Publisher Elsevier

Publishing Place Kidlington

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Lung Health and Immunity (LHI)
Institute of Computational Biology (ICB)