DOI
https://doi.org/10.25772/SVXS-8H48
Defense Date
2022
Document Type
Thesis
Degree Name
Master of Science
Department
Mechanical and Nuclear Engineering
First Advisor
Dr. Laleh Golshahi
Abstract
Ambient air pollution in the form of particulate matter (PM) has been linked to negative respiratory issues in humans, particularly in children. Nasal sprays have been used to treat patients that suffer with adverse reactions to PM, allergies, and respiratory illnesses. As a portal for non-invasive drug delivery, nasal administration has several advantages over traditional medication routes. Despite these advantages, developing effective nasal drug delivery systems has proven to be challenging. Several parameters are important in determining the effectiveness of an inhaled pharmaceutical aerosols (IPAs). A combination of the anatomical complexity of the nasal cavity, inter-subject variability among humans as well as the continuous development of the respiratory airway in pediatric subjects poses a challenge to assess nasal drug deposition patterns. Prior studies have limited correlation data regarding airway anatomy and drug deposition. This literature discusses the relationship between deposition, administration parameters and the geometry of the nasal cavity to help find alternative ways to improve intranasal drug delivery using twenty 3D constructed nasal airway models of healthy children. A strong correlation between posterior deposition of Flonase® SensimistTM (PDFF) and anatomical parameters, administration parameters, and pressure drop was found with R2 = 0.81. The P-value for one of the parameters used in the predictive model is significantly greater than 0.05 (Table 14) which showed that most of the parameters are statistically significant. The correlation between posterior deposition of Nasacort® (PDNC) and anatomical parameters, administration parameters, and pressure drop was found with R2 = 0.81. Results showed that Flonase Sensimist® (FF) is more dependent on the geometrical parameters whereas, Nasacort® (NC) depends on administration angles. Dependency on the square of a parameter is only observed in the predictive model for NC.
Rights
Ahmed M. Alshammary © The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
12-16-2022
Included in
Biomechanical Engineering Commons, Biomedical Devices and Instrumentation Commons, Other Mechanical Engineering Commons