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Inhalation Toxicology
International Forum for Respiratory Research
Volume 30, 2018 - Issue 11-12
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Research Article

Particle and inhalation exposure in human and monkey computational airway models

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 416-428 | Received 21 Aug 2018, Accepted 05 Nov 2018, Published online: 08 Jan 2019
 

Abstract

Regional deposition of inhaled aerosols is essential for assessing health risks from toxic exposure. Upper airway physiology plays a significant role in respiratory defense by filtering micrometer particles, whose deposition mechanism is predominantly inertial impaction and is mainly controlled by airflow characteristics. The monkey is commonly used in tests that study inhalation toxicity as well as in preclinical tests as human surrogates due to their anatomical similarities to humans. Therefore, accurate predictions and an understanding of the inhaled particles and their distribution in monkeys are essential for extrapolating laboratory animal data to humans. The study goals were as follows: (1) to predict the particle deposition based on aerodynamic diameters (1–10 µm) and various steady inspiratory flow rates in computational models of monkey and human upper airways; and (2) to investigate potential differences in inhalation flow and particle deposition between humans and monkeys by comparing numerical simulation results with similar in-vitro and in-vivo measurements from recent literature. The deposition fractions of the monkey’s numerical airway model agreed well with in-vitro and human model data when equivalent Stokes numbers were compared, based on the minimum cross-sectional area as representative of length scale. Vestibule removal efficiencies were predicted to be higher in the monkey model compared with the human model. Our results revealed that the particle transportations were sensitive to the anatomical structure, airway geometry, airflow rates, inflow boundary conditions and particle size.

Nomenclature

Amin=

minimum cross-sectional area

CD=

drag coefficient

Cin=

number of particles entering from the inlet of the airways

Cout=

number of particles that escaped at the outlet

dij=

rate of the deformation tensor

dp=

particle diameter

da=

particle aerodynamic diameter

FD=

drag force

FS=

Saffman’s lift force

IP=

inertial parameter

k=

turbulent kinetic energy

mp=

particle mass

mpds=

physiological dead space rate

Rep=

particle Reynolds number

Q=

inhalation flow rate

Qres=

breathing airflow rate at the nostril or oral surface

Tave=

ensemble averaged elapsed time of particles

up=

particle velocity

U=

inlet air velocity

Greek symbols

ε=

dissipation rate

Δt=

time step for particle tracking

λ=

mean free path of the fluid

ν=

kinematic viscosity

µ=

dynamic viscosity

η=

deposition fraction

ρ=

fluid density

ρp=

particle density

τ=

particle relaxation time

τn=

nominal time constant

τw=

shear stress at the wall

σ=

Standard deviation

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors gratefully acknowledge the financial support provided by a Grants-in-Aid for Scientific Research (KAKEN) (JSPS International Research Fellow).

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