AAAR 36th Annual Conference October 16 - October 20, 2017 Raleigh Convention Center Raleigh, North Carolina, USA
Abstract View
Scaling the Idealized Infant Nasal Airway to Mimic Average Deposition in Neonates
Scott Tavernini, Tanya Church, David Lewis, Michelle L. Noga, Andrew R. Martin, WARREN H. FINLAY, University of Alberta
Abstract Number: 391 Working Group: Health Related Aerosols
Abstract While we have recently quantified the nasal filtration properties of realistic neonatal (newborn) infant nasal airways, it is unknown if the Alberta Idealized Infant Nose (AIIN), designed to mimic average deposition in 3-18 month old infants, can be scaled to mimic average deposition in neonates. Due to the rapid changes and rate of growth occurring in infants after birth it is expected that the AIIN model developed for older (3-18 month old) infants will under predict nasal filtration in the younger population simply due to its size. Idealized airway geometries are useful for the design of aerosol delivery devices for pharmaceutical applications as well as atmospheric aerosol studies where lung dose is of interest. This study sought to identify a scaling factor to be applied to the AIIN to produce a model with the appropriate characteristic diameter, and evaluate the ability of this scaled model to successfully mimic average deposition in the 0-3 month old population. Deposition characteristics of the idealized model was measured by passing a representative aerosol (jojoba oil) through two paths, one including an airway model and the other a blank sampling line, under varying flow conditions. The aerosol distribution was measured by an electrical low pressure impactor (ELPI) downstream of each path. Comparing the distributions gave the deposited fraction of aerosol particles classified by aerodynamic diameter. Non-dimensional analysis of the deposition data to yield empirical correlations that predict deposition was also examined.