title: Inspiratory and expiratory aerosol deposition in the upper airway.
abstract: Aerosol deposition efficiency (DE) in the extrathoracic airways during mouth breathing is currently documented only for the inspiratory phase of respiration, and there is a need for quantification of expiratory DE. Our aim was to study both inspiratory and expiratory DE in a realistic upper airway geometry. This was done experimentally on a physical upper airway cast by scintigraphy, and numerically by computational fluid dynamic simulations using a Reynolds Averaged Navier?Stokes (RANS) method with a k-? SST turbulence model coupled with a stochastic Lagrangian approach. Experiments and simulations were carried out for particle sizes (3 and 6 μm) and flow rates (30 and 60 L/min) spanning the ranges of Stokes (Stk) and Reynolds (Re) number pertinent to therapeutic and environmental aerosols. We showed that inspiratory total deposition data obtained by scintigraphy fell onto a previously published deposition curve representative of a range of upper airway geometries. We also found that expiratory and inspiratory DE curves were almost identical. Finally, DE in different compartments of the upper airway model showed a very different distribution pattern of aerosol deposition during inspiration and expiration, with preferential deposition in oral and pharyngeal compartments, respectively. These compartmental deposition patterns were very consistent and only slightly dependent on particle size or flow rate. Total deposition for inspiration and expiration was reasonably well-mimicked by the RANS simulation method we employed, and more convincingly so in the upper range of the Stk and Re number. However, compartmental deposition patterns showed discrepancies between experiments and RANS simulations, particularly during expiration.
authors.affiliation: Respiratory Division, University Hospital UZ Brussel, Brussels, Belgium. sylvia.verbanck@uzbrussel.be
authors.forename: S
authors.initials: S
authors.lastname: Verbanck
authors.forename: H S
authors.initials: HS
authors.lastname: Kalsi
authors.forename: M F
authors.initials: MF
authors.lastname: Biddiscombe
authors.forename: V
authors.initials: V
authors.lastname: Agnihotri
authors.forename: B
authors.initials: B
authors.lastname: Belkassem
authors.forename: C
authors.initials: C
authors.lastname: Lacor
authors.forename: O S
authors.initials: OS
authors.lastname: Usmani
mesh_terms: D000280:Administration, Inhalation; D000336:Aerosols; D000393:Air Pollutants / Q000493:pharmacokinetics; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D045853:Exhalation; D006801:Humans; D001239:Inhalation; D008953:Models, Anatomic; D009093:Mucus / Q000378:metabolism; D010316:Particle Size; D004364:Pharmaceutical Preparations / Q000008:administration & dosage; D011877:Radionuclide Imaging; D012137:Respiratory System / Q000033:anatomy & histology* / Q000378:metabolism; D014018:Tissue Distribution
chemical_list: D000336:Aerosols; D000393:Air Pollutants; D004364:Pharmaceutical Preparations