Recent advances in predictive understanding of respiratory tract deposition.
Accurate prediction of respiratory tract deposition is important in gauging the health risks of ambient bioaerosols and environmental aerosols, as well as in developing pharmaceutical aerosols for drug delivery. The present article highlights recent advances in the prediction of total, extrathoracic, and lung deposition fractions of inhaled aerosols over a broad range of parameters for both oral and nasal breathing. These advances build on recent data from in vivo and in vitro studies that have benefited from recent improvements in high-resolution imaging, rapid prototyping, and computational simulation abilities that have significantly enhanced the current understanding of respiratory tract deposition. It is anticipated that the relatively simple equations for predicting total or whole lung deposition that follow from the recent work discussed herein will allow for improved correlation between respiratory tract deposition and a wide range of health outcomes.
Finlay
Warren H
WH
University of Alberta, Edmonton, Alberta, Canada. warren.finlay@ualberta.ca
Martin
Andrew R
AR
D000280:Administration, Inhalation; D000281:Administration, Intranasal; D000336:Aerosols / Q000008:administration & dosage* / Q000493:pharmacokinetics; D003198:Computer Simulation; D016503:Drug Delivery Systems; D006801:Humans; D008954:Models, Biological; D009330:Nebulizers and Vaporizers; D012137:Respiratory System / Q000378:metabolism*
D000336:Aerosols