2020
DOI: 10.1016/j.ijpharm.2020.119599
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Dry powder inhaler aerosol deposition in a model of tracheobronchial airways: Validating CFD predictions with in vitro data

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Cited by 36 publications
(17 citation statements)
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“…In this study, namely, a 3D numerical model was established from the acquired CT image data of the upper airway of healthy subjects, and CFD methods were applied to conduct relevant experiments to simulate the real human upper airway environment. During the study, the deposition e ciency [21][22][23] was compared with the inertial parameter, i.e. da2×Q(µm2cm3/s) [16,21,22] , where Q and da represent inhalation ow and particle diameter, respectively (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…In this study, namely, a 3D numerical model was established from the acquired CT image data of the upper airway of healthy subjects, and CFD methods were applied to conduct relevant experiments to simulate the real human upper airway environment. During the study, the deposition e ciency [21][22][23] was compared with the inertial parameter, i.e. da2×Q(µm2cm3/s) [16,21,22] , where Q and da represent inhalation ow and particle diameter, respectively (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…They found that MDI delivered more drugs than DPI. They also carried out a CFD study to address the limitations of their previous study (Ahookhosh et al, 2020). As presented in a recent publication, Ahookhosh et al (Ahookhosh et al, 2021) examined the optimization of a Pressurized Metered Dose Inhaler (pMDI) in a human airway model.…”
Section: Longest Et Al (W Longest Et Al 2019mentioning
confidence: 99%
“…Moreover, it was time and labor consuming to conduct NGI tests since the complicated operation and followed up quantification required an entire day for only one measurement, and thus severely hampered the efficiency of the industrialization processes. CFD-DEM model was a powerful tool to simulate the behavior of fluid–particle interactions 10 , and was successfully employed in DPIs to aid the analyzing particle motion in the inhaler devices 11 , throat 12 and bronchi 3D models 13 , 14 . However, the crucial physical properties, such as the particle shape, surface roughness and particle size distribution, were often over simplified in CFD-DEM model.…”
Section: Introductionmentioning
confidence: 99%