Cheng Yung Sung
Lovelace Respiratory Research Institute, Albuquerque, New Mexico.
Aerosol Sci Technol. 2003;37(8):659-671. doi: 10.1080/02786820300906.
The extrathoracic region, including the nasal and oral passages, pharynx, and larynx, is the entrance to the human respiratory tract and the first line of defense against inhaled air pollutants. Estimates of regional deposition in the thoracic region are based on data obtained with human volunteers, and that data showed great variability in the magnitude of deposition under similar experimental conditions. In the past decade, studies with physical casts and computational fluid dynamic simulation have improved upon the understanding of deposition mechanisms and have shown some association of aerosol deposition with airway geometry. This information has been analyzed to improve deposition equations, which incorporate characteristic airway dimensions to address intersubject variability of deposition during nasal breathing. Deposition in the nasal and oral airways is dominated by the inertial mechanism for particles >0.5 mum and by the diffusion mechanism for particles <0.5 mum. Deposition data from adult and child nasal airway casts with detailed geometric data can be expressed as E(n) = 1 - exp(-110 Stk), where the Stokes number is a function of the aerodynamic diameter (d(a)), flow rate (Q), and the characteristic nasal airway dimension, the minimum cross-sectional area (A(min)). In vivo data for each human volunteer follow the equation when the appropriate value of A(min) is used. For the diffusion deposition, in vivo deposition data for ultrafine particles and in vivo and cast data for radon progeny were used to derive the following deposition: En=1-exp(-0.355Sf4.14D0.5Q-0.28), where S(f) is the normalized surface area in the turbinate region of the nasal airway, and D is the diffusion coefficient. The constant is not significantly different for inspiratory deposition than for expiratory deposition. By using the appropriate characteristic dimension, S(f), one can predict the variability of in vivo nasal deposition fairly well. Similar equations for impaction and diffusion deposition were obtained for deposition during oral breathing. However, the equations did not include airway dimensions for intersubject variability, because the data set did not have airway dimension measurements. Further studies with characteristic airway dimensions for oral deposition are needed. These equations could be used in lung deposition models to improve estimates of extrathoracic deposition and intersubject variability.
胸外区域,包括鼻腔和口腔通道、咽和喉,是人体呼吸道的入口,也是抵御吸入空气污染物的第一道防线。胸内区域沉积的估计值基于从人体志愿者获得的数据,而这些数据显示在相似实验条件下沉积量存在很大差异。在过去十年中,利用物理模型和计算流体动力学模拟进行的研究增进了对沉积机制的理解,并显示出气溶胶沉积与气道几何形状之间存在一定关联。对这些信息进行了分析,以改进沉积方程,该方程纳入了气道特征尺寸,以解决鼻呼吸过程中沉积的个体间差异问题。鼻腔和口腔气道中的沉积,对于粒径大于0.5微米的颗粒,主要由惯性机制主导;对于粒径小于0.5微米的颗粒,则主要由扩散机制主导。具有详细几何数据的成人和儿童鼻腔气道模型的沉积数据可表示为E(n)=1-exp(-110Stk),其中斯托克斯数是空气动力学直径(d(a))、流速(Q)以及鼻腔气道特征尺寸(最小横截面积A(min))的函数。当使用合适的A(min)值时,每个人体志愿者的体内数据符合该方程。对于扩散沉积,利用超细颗粒的体内沉积数据以及氡子体的体内和模型数据得出以下沉积公式:En=1-exp(-0.355Sf4.14D0.5Q-0.28),其中S(f)是鼻腔气道鼻甲区域的归一化表面积,D是扩散系数。该常数在吸气沉积和呼气沉积之间无显著差异。通过使用合适的特征尺寸S(f),可以较好地预测体内鼻腔沉积的变异性。对于口腔呼吸时的沉积,也获得了类似的撞击和扩散沉积方程。然而,这些方程未包括用于个体间差异的气道尺寸,因为数据集没有气道尺寸测量值。需要进一步开展关于口腔沉积特征气道尺寸的研究。这些方程可用于肺部沉积模型,以改进胸外沉积和个体间差异的估计。