Influence of nebulizer pressure drop on breathing profiles and aerosol deposition in human airways
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Date
2025-06-13
Authors
Misik, Ondrej
Prinz, Frantisek
Elcner, Jakub
Cabalka, Matouš
Belka, Miloslav
Lízal, František
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Abstract
Breathing flow rate profiles are crucial for predicting aerosol drug delivery. While aerosol particle characteristics are determined by the inhalation device, breathing profiles are patient-specific, making them an essential topic for personalized medicine. This study investigates the influence of nebulizer pressure drop on breathing profiles and subsequent aerosol deposition within human airways. Ten male subjects performed spontaneous, and slow and deep breathing manoeuvres through three different nebulizers (one jet and two mesh nebulizers). Breathing profiles were recorded, and the impact of nebulizer pressure drop on flow rate profiles was analyzed. Computational modelling of airway aerosol deposition was performed for particles ranging from 1 to 10 mu m in diameter, based on the recorded boundary conditions. The jet nebulizer exhibited the most significant flow rate decrease due to its high pressure drop, increasing particle deposition in the lower airways. These findings are important for personalized modelling and the application of a digital twin approach in treatment design, leading to more effective and targeted drug delivery.
Breathing flow rate profiles are crucial for predicting aerosol drug delivery. While aerosol particle characteristics are determined by the inhalation device, breathing profiles are patient-specific, making them an essential topic for personalized medicine. This study investigates the influence of nebulizer pressure drop on breathing profiles and subsequent aerosol deposition within human airways. Ten male subjects performed spontaneous, and slow and deep breathing manoeuvres through three different nebulizers (one jet and two mesh nebulizers). Breathing profiles were recorded, and the impact of nebulizer pressure drop on flow rate profiles was analyzed. Computational modelling of airway aerosol deposition was performed for particles ranging from 1 to 10 mu m in diameter, based on the recorded boundary conditions. The jet nebulizer exhibited the most significant flow rate decrease due to its high pressure drop, increasing particle deposition in the lower airways. These findings are important for personalized modelling and the application of a digital twin approach in treatment design, leading to more effective and targeted drug delivery.
Breathing flow rate profiles are crucial for predicting aerosol drug delivery. While aerosol particle characteristics are determined by the inhalation device, breathing profiles are patient-specific, making them an essential topic for personalized medicine. This study investigates the influence of nebulizer pressure drop on breathing profiles and subsequent aerosol deposition within human airways. Ten male subjects performed spontaneous, and slow and deep breathing manoeuvres through three different nebulizers (one jet and two mesh nebulizers). Breathing profiles were recorded, and the impact of nebulizer pressure drop on flow rate profiles was analyzed. Computational modelling of airway aerosol deposition was performed for particles ranging from 1 to 10 mu m in diameter, based on the recorded boundary conditions. The jet nebulizer exhibited the most significant flow rate decrease due to its high pressure drop, increasing particle deposition in the lower airways. These findings are important for personalized modelling and the application of a digital twin approach in treatment design, leading to more effective and targeted drug delivery.
Description
Citation
JOURNAL OF AEROSOL SCIENCE. 2025, issue 188, 18 p.
https://www.sciencedirect.com/science/article/pii/S0021850225000977?pes=vor&utm_source=clarivate&getft_integrator=clarivate
https://www.sciencedirect.com/science/article/pii/S0021850225000977?pes=vor&utm_source=clarivate&getft_integrator=clarivate
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en

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