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人体腺泡区域内气流与颗粒沉积的建模

Modeling Airflow and Particle Deposition in a Human Acinar Region.

作者信息

Kolanjiyil Arun V, Kleinstreuer Clement

机构信息

Department of Mechanical & Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.

Joint UNC-NCSU Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, USA.

出版信息

Comput Math Methods Med. 2019 Jan 14;2019:5952941. doi: 10.1155/2019/5952941. eCollection 2019.

Abstract

The alveolar region, encompassing millions of alveoli, is the most vital part of the lung. However, airflow behavior and particle deposition in that region are not fully understood because of the complex geometrical structure and intricate wall movement. Although recent investigations using 3D computer simulations have provided some valuable information, a realistic analysis of the air-particle dynamics in the acinar region is still lacking. So, to gain better physical insight, a physiologically inspired has been developed. Specifically, air sacs (i.e., alveoli) were attached as partial spheroids to the bifurcating airway ducts, while breathing-related wall deformation was included to simulate actual alveolar expansion and contraction. Current model predictions confirm previous notions that the location of the alveoli greatly influences the alveolar flow pattern, with recirculating flow dominant in the proximal lung region. In the midalveolar lung generations, the intensity of the recirculating flow inside alveoli decreases while radial flow increases. In the distal alveolar region, the flow pattern is completely radial. The micron/submicron particle simulation results, employing the Euler-Lagrange modeling approach, indicate that deposition depends on the inhalation conditions and particle size. Specifically, the particle deposition rate in the alveolar region increases with higher inhalation tidal volume and particle diameter. Compared to previous acinar models, the present system takes into account the entire acinar region, including both partially alveolated respiratory bronchioles as well the fully alveolated distal airways and alveolar sacs. In addition, the alveolar expansion and contraction have been calculated based on physiological breathing conditions which make it easy to compare and validate model results with in vivo lung deposition measurements. Thus, the current work can be readily incorporated into human whole-lung airway models to simulate/predict the flow dynamics of toxic or therapeutic aerosols.

摘要

包含数百万个肺泡的肺泡区域是肺最重要的部分。然而,由于其复杂的几何结构和错综复杂的壁运动,该区域的气流行为和颗粒沉积尚未得到充分理解。尽管最近使用三维计算机模拟的研究提供了一些有价值的信息,但对腺泡区域空气-颗粒动力学的实际分析仍然缺乏。因此,为了获得更好的物理见解,开发了一种受生理启发的模型。具体来说,将气囊(即肺泡)作为部分球体附着到分叉的气道导管上,同时纳入与呼吸相关的壁变形以模拟实际的肺泡扩张和收缩。当前的模型预测证实了先前的观点,即肺泡的位置对肺泡流动模式有很大影响,在肺近端区域以再循环流为主。在肺泡中部的肺段,肺泡内再循环流的强度降低,而径向流增加。在远端肺泡区域,流动模式完全是径向的。采用欧拉-拉格朗日建模方法的微米/亚微米颗粒模拟结果表明,沉积取决于吸入条件和颗粒大小。具体而言,肺泡区域的颗粒沉积率随着吸入潮气量和颗粒直径的增加而增加。与先前的腺泡模型相比,本系统考虑了整个腺泡区域,包括部分肺泡化的呼吸性细支气管以及完全肺泡化的远端气道和肺泡囊。此外,基于生理呼吸条件计算了肺泡的扩张和收缩,这使得将模型结果与体内肺沉积测量结果进行比较和验证变得容易。因此,当前的工作可以很容易地纳入人体全肺气道模型中,以模拟/预测有毒或治疗性气溶胶的流动动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c50a/6348927/4a66388abf7b/CMMM2019-5952941.001.jpg

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