Division of Physics and Biophys, Department of Material Science and Physics, University of Salzburg, Salzburg, Austria.
Ann Transl Med. 2015 Dec;3(21):326. doi: 10.3978/j.issn.2305-5839.2015.12.19.
Although nanoparticles and their hazardous effects on human health are well elucidated meanwhile, inhalation and distribution of these materials in the human respiratory tract still represent partly enigmatic phenomena. Main objective of the present study was the detailed description of a mathematical method, with the help of which spatial distributions of nanoparticles deposited in the tracheobronchial tree may be visualized appropriately.
The technique is founded on a stochastic model of the bronchial network, within which inhaled particles follow individual, randomly selected trajectories. The lengths of these random paths depend on the airway-specific deposition probabilities calculated for the particles and the duration of the breath cycle. Positions of the deposited material were determined by computation of the exact lengths of individual particle trajectories and the orientation of single path segments within a Cartesian coordinate system, where the z-direction corresponds with the trachea. For a better quantification of the particle distribution and its eventual comparison with experimental data particle coordinates were fitted into a voxel grid [1 voxel = (0.467 cm)(3)]. Particle deposition is chiefly controlled by diffusive processes, whereas deposition mechanisms associated with inertia or gravity play a subordinate role.
Deposition patterns were visualized for particles with sizes of 1, 10, and 100 nm. As clearly demonstrated by the results obtained from the modeling procedure, under normal breathing conditions 1-nm particles tend to deposit in the upper airways, whilst 10- and 100-nm particles are preferably accumulated in the airways of the central and peripheral lung. The particle dose deposited in the extrathoracic and thoracic airways within one breath cycle significantly declines with increasing particle size.
Based on the predictions presented in this study possible consequences of nanoparticle inhalation to the health of subjects increasingly exposed to these airborne materials were discussed.
尽管纳米颗粒及其对人类健康的危害已得到充分阐明,但这些物质在人体呼吸道中的吸入和分布仍然是部分神秘的现象。本研究的主要目的是详细描述一种数学方法,借助该方法可以适当地可视化沉积在气管支气管树中的纳米颗粒的空间分布。
该技术基于支气管网络的随机模型,其中吸入的颗粒遵循个体、随机选择的轨迹。这些随机路径的长度取决于为颗粒计算的气道特异性沉积概率以及呼吸周期的持续时间。沉积材料的位置通过计算单个颗粒轨迹的精确长度和笛卡尔坐标系中单个路径段的方向来确定,其中 z 方向对应气管。为了更好地量化颗粒分布及其与实验数据的最终比较,将颗粒坐标拟合到体素网格中[1 个体素=(0.467 cm)(3)]。颗粒沉积主要受扩散过程控制,而与惯性或重力相关的沉积机制则起次要作用。
可视化了粒径为 1、10 和 100nm 的颗粒的沉积模式。正如建模过程得到的结果清楚地表明,在正常呼吸条件下,1nm 颗粒倾向于沉积在上呼吸道,而 10nm 和 100nm 颗粒则更优选地积聚在中央和外周肺的气道中。在一个呼吸周期中沉积在外周和胸气道中的颗粒剂量随颗粒尺寸的增加而显著下降。
基于本研究提出的预测,讨论了越来越多接触这些空气传播材料的受试者吸入纳米颗粒对健康的可能后果。