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Deposition of medical aerosols in the human respiratory tract: Predicting dosages from nebulizers, and deposition in the mouth-throat using computational fluid dynamics.

机译:人体呼吸道中医用气雾剂的沉积:使用计算流体动力学预测雾化器的剂量,以及在喉咙中的沉积。

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摘要

A Lagrangian dynamical model for calculating the regional deposition of hygroscopic aerosols in the respiratory tract is presented. The model tracks a bolus of aerosol as it travels through the respiratory tract and calculates the growth of the particles using a full two-way coupled hygroscopic growth model in which the change in aerosol droplet size affects the humidity and temperature of the air in the respiratory tract. The deposition probabilities for a particle in a specific generation are calculated from theoretical and empirical expressions. A method to estimate the intersubject variability is also presented. The deposition probabilities calculated by the model agree well with available experimental data.;A methodology is presented in which experimental methods that characterize the aerosol emitted by jet nebulizers are combined with the deposition model to predict the dosage of medication delivered to the different regions of the respiratory tract. The methodology is applied to the Hudson T-Updraft II nebulizer, and the Pari LC+ nebulizer. The dosage delivered to the lungs by the Hudson is estimated as 16.1 ;Computational fluid dynamics (CFD) is investigated as a tool to predict the deposition of aerosol particles in the mouth and throat by testing a commercially available CFD package (TASCflow3D, ASC, Waterloo, ON) on a number of geometries. For laminar flow in tubes with simple 90-degree bends, CFD provided accurate predictions of the particle deposition. In the USP model throat, the overall filtering efficiency of the model and the deposition pattern predicted by the CFD agreed poorly with the filtering efficiency and deposition patterns determined experimentally. Finally, the code was tested in a novel geometry that approximates the extrathoracic region of the respiratory tract. Here, the deposition patterns agreed reasonably well with experimentally determined patterns, but the CFD greatly overestimated the deposition compared with experimentally determined values and the values from an empirical equation for the deposition of droplets in the extrathoracic region of the respiratory tract. The poor performance of CFD in the USP model throat and the physiologically realistic throat geometry may be due to the inadequacy of current models of turbulence and turbulent dispersion.
机译:提出了一种拉格朗日动力学模型,用于计算吸湿性气溶胶在呼吸道中的区域沉积。该模型跟踪气团在呼吸道中传播时的团团,并使用完整的双向耦合吸湿性增长模型来计算颗粒的增长,在该模型中,气溶胶液滴大小的变化会影响呼吸中空气的湿度和温度道。从理论和经验表达式计算特定世代中颗粒的沉积概率。还提出了一种估计受试者间变异性的方法。该模型计算出的沉积概率与可用的实验数据很好地吻合。提出了一种方法,其中将表征喷射雾化器排放的气溶胶的实验方法与沉积模型相结合,以预测输送到手术室不同区域的药物剂量呼吸道。该方法适用于Hudson T-Updraft II雾化器和Pari LC +雾化器。 Hudson输送到肺部的剂量估计为16.1;研究了计算流体力学(CFD),作为通过测试市售CFD软件包(TASCflow3D,ASC,Waterloo)预测气溶胶颗粒在口腔和咽喉中沉积的工具,ON)在许多几何上。对于具有简单90度弯曲的管中的层流,CFD提供了颗粒沉积的准确预测。在USP模型的喉咙中,CFD预测的模型的总体过滤效率和沉积模式与实验确定的过滤效率和沉积模式不一致。最终,该代码以一种新颖的几何形状进行了测试,该几何形状近似于呼吸道的胸外区域。在这里,沉积模式与实验确定的模式相当吻合,但是与实验确定的值以及来自经验公式的值相比,CFD大大高估了沉积,这些值是液滴在呼吸道胸外区域的沉积。 CFD在USP模型喉咙中的不良表现以及生理上逼真的喉咙几何形状可能是由于当前湍流和湍流扩散模型的不足所致。

著录项

  • 作者

    Stapleton, Kevin Walter.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Engineering Biomedical.;Health Sciences Pharmacy.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 192 p.
  • 总页数 192
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

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