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Validation and Sensitivity analysis for a nasal spray deposition computational model.

Authors :
Calmet, Hadrien
Oks, David
Santiago, Alfonso
Houzeaux, Guillaume
Corfec, Antoine Le
Deruyver, Laura
Rigaut, Clement
Lambert, Pierre
Haut, Benoit
Goole, Jonathan
Source :
International Journal of Pharmaceutics. Oct2022, Vol. 626, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Validating numerical models against experimental models of nasal spray deposition is challenging since many aspects must be considered. That being said, it is a critical step in the product development process of nasal spray devices. This work presents the validation process of a nasal deposition model, which demonstrates a high degree of consistency of the numerical model with experimental data when the nasal cavity is segmented into two regions but not into three. Furthermore, by modelling the flow as stationary, the computational cost is drastically reduced while maintaining quality of particle deposition results. Thanks to this reduction, a sensitivity analysis of the numerical model could be performed, consisting of 96 simulations. The objective was to quantify the impact of four inputs: the spray half cone angle, mean spray exit velocity, breakup length from the nozzle exit and the diameter of the nozzle spray device, on the three quantities of interest: the percentage of the accumulated number of particles deposited on the anterior, middle and posterior sections of the nasal cavity. The results of the sensitivity analysis demonstrated that the deposition on anterior and middle sections are sensitive to injection angle and breakup length, and the deposition on posterior section is only, but highly, sensitive to the injection velocity. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03785173
Volume :
626
Database :
Academic Search Index
Journal :
International Journal of Pharmaceutics
Publication Type :
Academic Journal
Accession number :
159290512
Full Text :
https://doi.org/10.1016/j.ijpharm.2022.122118