Xi Jinxiang, Talaat Mohamed, Tanbour Hesham, Talaat Khaled
Department of Biomedical Engineering, California Baptist University, Riverside, CA 92504, USA.
Department of Aerospace, Industrial, and Mechanical Engineering, California Baptist University, Riverside, CA 92504, USA.
Comput Math Methods Med. 2018 Sep 25;2018:3649391. doi: 10.1155/2018/3649391. eCollection 2018.
Unique features exist in acinar units such as multiple alveoli, interalveolar septal walls, and pores of Kohn. However, the effects of such features on airflow and particle deposition remain not well quantified due to their structural complexity. This study aims to numerically investigate particle dynamics in acinar models with interalveolar septal walls and pores of Kohn. A simplified 4-alveoli model with well-defined geometries and a physiologically realistic 45-alveoli model was developed. A well-validated Lagrangian tracking model was used to simulate particle trajectories in the acinar models with rhythmically expanding and contracting wall motions. Both spatial and temporal dosimetries in the acinar models were analyzed. Results show that collateral ventilation exists among alveoli due to pressure imbalance. The size of interalveolar septal aperture significantly alters the spatial deposition pattern, while it has an insignificant effect on the total deposition rate. Surprisingly, the deposition rate in the 45-alveoli model is lower than that in the 4-alveoli model, indicating a stronger particle dispersion in more complex models. The gravity orientation angle has a decreasing effect on acinar deposition rates with an increasing number of alveoli retained in the model; such an effect is nearly negligible in the 45-alveoli model. Breath-holding increased particle deposition in the acinar region, which was most significant in the alveoli proximal to the duct. Increasing inhalation depth only slightly increases the fraction of deposited particles over particles entering the alveolar model but has a large influence on dispensing particles to the peripheral alveoli. Results of this study indicate that an empirical correlation for acinar deposition can be developed based on alveolar models with reduced complexity; however, what level of geometry complexity would be sufficient is yet to be determined.
腺泡单位存在一些独特特征,如多个肺泡、肺泡间隔壁和孔氏孔。然而,由于其结构复杂性,这些特征对气流和颗粒沉积的影响尚未得到很好的量化。本研究旨在对具有肺泡间隔壁和孔氏孔的腺泡模型中的颗粒动力学进行数值研究。开发了具有明确几何形状的简化4肺泡模型和生理现实的45肺泡模型。使用经过充分验证的拉格朗日跟踪模型来模拟在具有节律性扩张和收缩壁运动的腺泡模型中的颗粒轨迹。分析了腺泡模型中的空间和时间剂量学。结果表明,由于压力不平衡,肺泡之间存在侧支通气。肺泡间隔孔径的大小显著改变空间沉积模式,而对总沉积率的影响不显著。令人惊讶的是,45肺泡模型中的沉积率低于4肺泡模型,表明在更复杂的模型中颗粒分散性更强。重力取向角对腺泡沉积率的影响随着模型中保留的肺泡数量增加而减小;在45肺泡模型中这种影响几乎可以忽略不计。屏气增加了腺泡区域的颗粒沉积,在靠近导管的肺泡中最为显著。增加吸入深度只会略微增加沉积颗粒占进入肺泡模型颗粒的比例,但对将颗粒分配到外周肺泡有很大影响。本研究结果表明,可以基于复杂性降低的肺泡模型开发腺泡沉积的经验相关性;然而,何种几何复杂性水平足够尚待确定。