TY - JOUR
T1 - Numerical analysis of nanoparticle transport and deposition in a cynomolgus monkey nasal passage
AU - Dong, Jingliang
AU - Ma, Jiawei
AU - Tian, Lin
AU - Inthavong, Kiao
AU - Ito, Kazuhide
AU - Tu, Jiyuan
N1 - Funding Information:
Australian Research Council, Grant/Award Numbers: DE180101138, DP160101953; National Natural Science Foundation of China, Grant/Award Numbers: 81700094, 91643102 Funding information
Funding Information:
This study was funded by the National Natural Science Foundation of China (Grant No. 81700094 and 91643102) and Australian Research Council (Project ID: DE180101138 and DP160101953).
Publisher Copyright:
© 2020 John Wiley & Sons, Ltd.
PY - 2021/2
Y1 - 2021/2
N2 - Environmental exposure to toxic agents is commonly encountered by occupational and residential populations. However, in vivo exposure data in human subjects is limited by measurement and ethical restrictions. Monkey represents a suitable surrogate for human exposure studies, but the particle transport and deposition features in monkey airways are still not well understood. As a response to this research challenge, this paper presents a virtual exposure study that numerically investigated the nanoparticle transport process through a realistic cynomolgus monkey nasal airway. Particles with size of 1 nm to 1 μm were considered and the transport process was modelled by the Lagrangian discrete phase model. Overall and local deposition as well as particle dispersion along the airway were examined by using a variety of non-dimensional parameters including combined diffusion parameter, deposition enhancement factor and particle flux enhancement factor. Consistent deposition patterns were observed in present and literature nasal models. Most particles tended to pass the nasal airway through certain spatial regions, including the middle section of the nasal valve, the lower half of the middle coronal plane, and the central regions of the choana. While naturally inhaled nanoparticles can hardly be delivered to the olfactory region as it is located apart from the mainstream with high particle flux. Research findings provide insight into nanoparticle inhalation exposure characteristics in the monkey airway and can contribute in formulating data extrapolation schemes between monkey and human airways.
AB - Environmental exposure to toxic agents is commonly encountered by occupational and residential populations. However, in vivo exposure data in human subjects is limited by measurement and ethical restrictions. Monkey represents a suitable surrogate for human exposure studies, but the particle transport and deposition features in monkey airways are still not well understood. As a response to this research challenge, this paper presents a virtual exposure study that numerically investigated the nanoparticle transport process through a realistic cynomolgus monkey nasal airway. Particles with size of 1 nm to 1 μm were considered and the transport process was modelled by the Lagrangian discrete phase model. Overall and local deposition as well as particle dispersion along the airway were examined by using a variety of non-dimensional parameters including combined diffusion parameter, deposition enhancement factor and particle flux enhancement factor. Consistent deposition patterns were observed in present and literature nasal models. Most particles tended to pass the nasal airway through certain spatial regions, including the middle section of the nasal valve, the lower half of the middle coronal plane, and the central regions of the choana. While naturally inhaled nanoparticles can hardly be delivered to the olfactory region as it is located apart from the mainstream with high particle flux. Research findings provide insight into nanoparticle inhalation exposure characteristics in the monkey airway and can contribute in formulating data extrapolation schemes between monkey and human airways.
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U2 - 10.1002/cnm.3414
DO - 10.1002/cnm.3414
M3 - Article
C2 - 33205913
AN - SCOPUS:85099096680
SN - 2040-7939
VL - 37
JO - International Journal for Numerical Methods in Biomedical Engineering
JF - International Journal for Numerical Methods in Biomedical Engineering
IS - 2
M1 - e3414
ER -