Analysis of particle deposition in the turbinate and olfactory regions using a human nasal computational fluid dynamics model

Analysis of particle deposition in the turbinate and olfactory regions using a human nasal computational fluid dynamics model
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DOI:
10.1089/jam.2006.19.301
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发表时间:
2006-09-01
期刊:
JOURNAL OF AEROSOL MEDICINE-DEPOSITION CLEARANCE AND EFFECTS IN THE LUNG
影响因子:
--
通讯作者:
Asgharian, Bahman
Asgharian, Bahman
中科院分区:
其他
文献类型:
--
作者:
Schroeter, Jeffry D.;Kimbell, Julia S.;Asgharian, Bahman

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人的鼻腔通道有效地过滤吸入空气中的颗粒。这可以防止有害污染物到达敏感的肺气道,但可能使鼻粘膜容易受到吸入毒物的潜在伤害。这种过滤特性也可以策略性地用于雾化的鼻药物递送。鼻途径最近被认为是一种传递全身作用药物的手段,因为在鼻孔附近有大的吸收表面积。在这项研究中,计算流体动力学(CFD)模型的鼻腔气流与颗粒传输和沉积代码来预测局部沉积的吸入颗粒在人体鼻腔通道。该模型的几何形状是由一名健康成年男性的鼻通道的MRI扫描描记形成的。从鼻孔中释放出大小为5 - 50 μ m的球形颗粒。颗粒的轨迹和沉积部位进行了计算,在存在的稳态吸气气流在体积流量为7.5,15,和30 L/min。鼻阀,鼻甲,嗅觉区中定义的CFD模型,使颗粒沉积在这些地区可以识别和相关的释放位置上的鼻孔表面。当对冲击参数作图时,在这些区域中的沉积效率分别表现出53%、20%和3%的最大值。在自然呼吸情况下的优先沉积模式和药物释放位置的分析可用于确定最佳粒度和流速组合,以选择性地将药物颗粒靶向到鼻子的特定区域。
The human nasal passages effectively filter particles from inhaled air. This prevents harmful pollutants from reaching susceptible pulmonary airways, but may leave the nasal mucosa vulnerable to potentially injurious effects from inhaled toxicants. This filtering property may also be strategically used for aerosolized nasal drug delivery. The nasal route has recently been considered as a means of delivering systemically acting drugs due to the large absorptive surface area available in close proximity to the nostrils. In this study, a computational fluid dynamics (CFD) model of nasal airflow was used with a particle transport and deposition code to predict localized deposition of inhaled particles in human nasal passages. The model geometry was formed from MRI scan tracings of the nasal passages of a healthy adult male. Spherical particles ranging in size from 5 to 50 mu m were released from the nostrils. Particle trajectories and deposition sites were calculated in the presence of steady-state inspiratory airflow at volumetric flow rates of 7.5, 15, and 30 L/min. The nasal valve, turbinates, and olfactory region were defined in the CFD model so that particles depositing in these regions could be identified and correlated with their release positions on the nostril surfaces. When plotted against impaction parameter, deposition efficiencies in these regions exhibited maximum values of 53%, 20%, and 3%, respectively. Analysis of preferential deposition patterns and nostril release positions under natural breathing scenarios can be used to determine optimal particle size and flow rate combinations to selectively target drug particles to specific regions of the nose.