使用欧拉-拉格朗日方法预测多孔颗粒在呼吸系统中的迁移和沉积。

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Sajad Eshaghi, Hassan Khaleghi, Reza Maddahian
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引用次数: 0

摘要

肺深部给药对呼吸系统疾病的治疗至关重要。虽然纳米和亚微米颗粒在肺深部具有良好的沉积效率,但粉末的不均匀性和颗粒团聚降低了其效率。吸入多孔颗粒(PPs)可以克服上述挑战,因为多孔颗粒尺寸大、密度低。本研究对口服多孔颗粒的沉积和渗透效率进行了数值研究。研究采用了经修订的阻力系数来实现聚丙烯的传输。根据 CT 扫描图像重建了一个逼真的从口腔到第五代肺的过程。考虑了三种吸入流速(15、30 和 45 升/分钟)下均匀分布的颗粒稀释悬浮液。采用欧拉-拉格朗日方法求解了流场和颗粒传输的支配方程。结果表明,吸入聚丙烯能显著减少颗粒的总沉积量和区域沉积量。在中等和较高的吸入流速下,大颗粒聚丙烯还存在一个临界孔隙率值。低于这个临界值,聚丙烯的沉积效率就会大大降低。此外,研究还发现,在低吸入流速下,孔隙度值的影响可以忽略不计。几乎 95% 的聚丙烯都穿透了下部分支。这些发现为粒子工程师和制药学提供了深刻的见解,有助于开发新型吸入技术和肺深部给药方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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