Particle capture into the lung made simple?

Author:

de Vasconcelos Talita Felipe12,Sapoval Bernard13,Andrade José S.2,Grotberg James B.4,Hu Yingying4,Filoche Marcel13

Affiliation:

1. Physique de la Matière Condensée, Ecole Polytechnique, CNRS, Palaiseau, France;

2. Departamento de Física, Universidade Federal do Ceará, Ceará, Brazil;

3. CMLA, ENS Cachan, CNRS, UniverSud, Cachan, France; and

4. Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan

Abstract

Understanding the impact distribution of particles entering the human respiratory system is of primary importance as it concerns not only atmospheric pollutants or dusts of various kinds but also the efficiency of aerosol therapy and drug delivery. To model this process, current approaches consist of increasingly complex computations of the aerodynamics and particle capture phenomena, performed in geometries trying to mimic lungs in a more and more realistic manner for as many airway generations as possible. Their capture results from the complex interplay between the details of the aerodynamic streamlines and the particle drag mechanics in the resulting flow. In contrast, the present work proposes a major simplification valid for most airway generations at quiet breathing. Within this context, focusing on particle escape rather than capture reveals a simpler structure in the entire process. When gravity can be neglected, we show by computing the escape rates in various model geometries that, although still complicated, the escape process can be depicted as a multiplicative escape cascade in which each elementary step is associated with a single bifurcation. As a net result, understanding of the particle capture may not require computing particle deposition in the entire lung structure but can be abbreviated in some regions using our simpler approach of successive computations in single realistic bifurcations. Introducing gravity back into our model, we show that this multiplicative model can still be successfully applied on up to nine generations, depending on particle type and breathing conditions.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

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