Prediction of Transport and Deposition of Porous Particles in the Respiratory System Using Eulerian–Lagrangian Approach

Deep lung delivery is crucial for respiratory disease treatment. Although nano and submicron particles exhibited a good deposition efficiency in deep regions of the lung, powder nonuniformity and particle agglomeration reduce their efficiency. Inhalation of porous particles (PPs) can overcome the mentioned challenges due to their larger size and low-density. The present study numerically investigates the deposition and penetration efficiency of orally inhaled PPs. A revised drag coefficient was implemented for PP transport. A realistic mouth-throat to the fifth generation of the lung was reconstructed from CT-scan images. A dilute suspension of uniformly distributed particles was considered at three inhalation flow rates (15, 30, and 45 L/min). Governing equations of the flow field and particle transport are solved using an Eulerian-Lagrangian approach. The results demonstrate that inhaling PPs significantly reduces the total and regional deposition of particles. There was also a critical porosity value under moderate and high inhalation flow rates for large PPs. Below this critical value, PP deposition efficiency substantially decreases. Additionally, it was also found that under low inhalation flow rates, the impact of porosity value is negligible. Almost 95% of the PPs penetrate the lower branches. These findings provide particle engineers and pharmaceutics with profound insight into developing novel inhalation techniques and drug delivery methods for deep lung delivery.

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Publication Details

Journal
International Journal for Numerical Methods in Biomedical Engineering
Published
2024-10-23
DOI
https://doi.org/10.1002/cnm.3873
Citations
1
Primary Topic
Inhalation and Respiratory Drug Delivery
Type
article
Field-Weighted Citation Impact
0.42
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article

Prediction of Transport and Deposition of Porous Particles in the Respiratory System Using Eulerian–Lagrangian Approach

Reza Maddahian, Hassan Khaleghi, Sajad Eshaghi
1 citations
International Journal for Numerical Methods in Biomedical Engineering
Inhalation and Respiratory Drug Delivery
0.42
article

Prediction of Transport and Deposition of Porous Particles in the Respiratory System Using Eulerian–Lagrangian Approach

Reza Maddahian, Hassan Khaleghi, Sajad Eshaghi
article en
1 citations

Abstract

Deep lung delivery is crucial for respiratory disease treatment. Although nano and submicron particles exhibited a good deposition efficiency in deep regions of the lung, powder nonuniformity and particle agglomeration reduce their efficiency. Inhalation of porous particles (PPs) can overcome the mentioned challenges due to their larger size and low-density. The present study numerically investigates the deposition and penetration efficiency of orally inhaled PPs. A revised drag coefficient was implemented for PP transport. A realistic mouth-throat to the fifth generation of the lung was reconstructed from CT-scan images. A dilute suspension of uniformly distributed particles was considered at three inhalation flow rates (15, 30, and 45 L/min). Governing equations of the flow field and particle transport are solved using an Eulerian-Lagrangian approach. The results demonstrate that inhaling PPs significantly reduces the total and regional deposition of particles. There was also a critical porosity value under moderate and high inhalation flow rates for large PPs. Below this critical value, PP deposition efficiency substantially decreases. Additionally, it was also found that under low inhalation flow rates, the impact of porosity value is negligible. Almost 95% of the PPs penetrate the lower branches. These findings provide particle engineers and pharmaceutics with profound insight into developing novel inhalation techniques and drug delivery methods for deep lung delivery.

International Journal for Numerical Methods in Biomedical EngineeringVol. 40(12)
Tarbiat Modares University (IR)
Good health and well-being
Openalex Percentile: Top 32%
Inhalation and Respiratory Drug Delivery
0.42
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