Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/64606
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Type: Journal article
Title: Optimizing nasal spray parameters for efficient drug delivery using computational fluid dynamics
Author: Inthavong, K.
Tian, Z.
Tu, J.
Yang, W.
Xue, C.
Citation: Computers in Biology and Medicine, 2008; 38(6):713-726
Publisher: Pergamon-Elsevier Science Ltd
Issue Date: 2008
ISSN: 0010-4825
1879-0534
Statement of
Responsibility: 
K. Inthavong, Z.F. Tian, J.Y. Tu, W. Yang, C. Xue
Abstract: Experimental images from particle/droplet image analyser (PDIA) and particle image velocimetry (PIV) imaging techniques of particle formation from a nasal spray device were taken to determine critical parameters for the study and design of effective nasal drug delivery devices. The critical parameters found were particle size, diameter of spray cone at a break-up length and a spray cone angle. A range of values for each of the parameters were ascertained through imaging analysis which were then transposed into initial particle boundary conditions for particle flow simulation within the nasal cavity by using Computational Fluid Dynamics software. An Eulerian-Lagrangian scheme was utilised to track mono-dispersed particles (10 and 20 microm) at a breathing rate of 10 L/min. The results from this qualitative study aim to assist the pharmaceutical industry to improve and help guide the design of nasal spray devices.
Keywords: Nasal spray
CFD
Nasal cavity
Numerical simulation
Particle deposition
Drug delivery
Rights: © 2008 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.compbiomed.2008.03.008
Appears in Collections:Aurora harvest
Mechanical Engineering publications

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