2014
DOI: 10.1088/0169-5983/46/4/041407
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The role of respiratory flow asynchrony on convective mixing in the pulmonary acinus

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Cited by 17 publications
(29 citation statements)
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References 34 publications
(79 reference statements)
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“…II and Fig. 2(c)], experimentally resolved alveolar and ductal flow patterns are consistent with computational fluid dynamics (CFD) simulations conducted in more realistic space-filling 3D geometries 73,76 [Fig. 2(d)].…”
Section: Establishing Respiratory Flows In Vitrosupporting
confidence: 77%
“…II and Fig. 2(c)], experimentally resolved alveolar and ductal flow patterns are consistent with computational fluid dynamics (CFD) simulations conducted in more realistic space-filling 3D geometries 73,76 [Fig. 2(d)].…”
Section: Establishing Respiratory Flows In Vitrosupporting
confidence: 77%
“…The uniform deposition pattern of PM 0.2 in the acinar region indicates that the gravitational force is not the main factor that influences the motion of the smaller particles. The kinetics of the PM 0.2 is largely affected by the local unsteady airflow patterns within alveolar cavities, where the particle is diverted from an escape zone to a capture zone (or vice versa) (13,(15)(16)(17). Additionally, the highest concentration of PM 0.2 is in the bronchiole region, a local area marked with the dash square (b2) is observed, and more particles are found on the surface of the bronchiole, as shown in Fig.…”
Section: Significancementioning
confidence: 92%
“…According to current understanding, kinematics of particles in the acinar region are dominated by the gravitational sedimentation for large particles (larger than 2.0 μm), while Brownian motion influences small ones (smaller than 0.1 μm) (13,14). For intermediate particles in the size range of 0.1-1 μm, transport is dependent on the local irreversible kinematics within the alveolar cavities (13,(15)(16)(17). Because of the different kinematics, the deposition process and patterns are more complicated than those predicted by the average model based on uniform deposition.…”
mentioning
confidence: 99%
“…Wall breathing expansions and contractions of the acinar domain are modeled with an idealized sinusoidal motion. While temporal asynchrony and heterogeneous wall motions as a result of a geometric hysteresis in lung expansion are known to exist (25,29,45), the principal mode of breathing is acknowledged to remain largely self-similar (2,17). Mathematically, the motion of the computational domain is thus mimicked with (26,35,59,60,64,70) x͑t͒…”
Section: Methodsmentioning
confidence: 99%
“…Whether two-dimensional (2D) or 3D geometries of single isolated alveoli (19,67,64), acinar ducts (8,21,26,35,36,63), or bifurcating acinar airways (6,10,43,60), numerical studies have largely focused on the kinematics of inhaled micrometersized particles predominantly governed by (26,31,43,60); yet, this range of sizes represents only a small fraction of the aerosols capable of reaching the acinus (23,24). For finer submicrometer particles, their motion has long been thought to follow convective airflows (65), and thus most studies have analyzed trajectories of passive tracer particles subject to acinar flows only (5,10,22,25,53,68,69). However, these fail to capture intrinsic particle diffusion (i.e., Brownian motion) that is anticipated to become a critical transport mechanism in the acinus (58), in particular for ultrafine particles (UFPs) with diameters Ͻ100 nm.…”
mentioning
confidence: 99%