Loading…
Parametric study on mouth–throat geometrical factors on deposition of orally inhaled aerosols
There is a growing need to select a realistic mouth–throat (MT) model to replace the USP induction port (IP) which underestimates MT deposition of inhaled particles. Even though there are many image-based MT models in literature, substantial inconsistencies exist regarding the critical geometrical f...
Saved in:
Published in: | Journal of aerosol science 2016-09, Vol.99, p.94-106 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | There is a growing need to select a realistic mouth–throat (MT) model to replace the USP induction port (IP) which underestimates MT deposition of inhaled particles. Even though there are many image-based MT models in literature, substantial inconsistencies exist regarding the critical geometrical factors that affect the MT deposition. The objective of this study was to systematically evaluate the relative importance of MT geometrical factors that affect the deposition of orally inhaled aerosols, which include the oral cavity volume, glottis area, airway curvature, and MT airway volume. Four existing MT models with different level of complexities were implemented. HyperWorks was used to vary the dimensions of the geometrical factors. For each factor, five variants were studied in each airway model. A well-validated fluid–particle transport model was used to simulate the airflow and particle deposition. The geometrical-factor-induced deposition variations were analyzed using ANOVA to determine the relative influence of each factor on particle deposition in the MT airway. Results showed that the realism of airway models significantly affected the MT deposition, and the USP IP underestimated the realistic model by up to 55%. The glottis area and total airway volume were found to be the two most predominant factors (both p values |
---|---|
ISSN: | 0021-8502 1879-1964 |
DOI: | 10.1016/j.jaerosci.2016.01.014 |