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

Available for download on Wednesday, December 15, 2027

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