Numerical evaluation of spray position for improved nasal drug delivery.

Journal Article (Journal Article)

Topical intra-nasal sprays are amongst the most commonly prescribed therapeutic options for sinonasal diseases in humans. However, inconsistency and ambiguity in instructions show a lack of definitive knowledge on best spray use techniques. In this study, we have identified a new usage strategy for nasal sprays available over-the-counter, that registers an average 8-fold improvement in topical delivery of drugs at diseased sites, when compared to prevalent spray techniques. The protocol involves re-orienting the spray axis to harness inertial motion of particulates and has been developed using computational fluid dynamics simulations of respiratory airflow and droplet transport in medical imaging-based digital models. Simulated dose in representative models is validated through in vitro spray measurements in 3D-printed anatomic replicas using the gamma scintigraphy technique. This work breaks new ground in proposing an alternative user-friendly strategy that can significantly enhance topical delivery inside human nose. While these findings can eventually translate into personalized spray usage instructions and hence merit a change in nasal standard-of-care, this study also demonstrates how relatively simple engineering analysis tools can revolutionize everyday healthcare. Finally, with respiratory mucosa as the initial coronavirus infection site, our findings are relevant to intra-nasal vaccines that are in-development, to mitigate the COVID-19 pandemic.

Full Text

Duke Authors

Cited Authors

  • Basu, S; Holbrook, LT; Kudlaty, K; Fasanmade, O; Wu, J; Burke, A; Langworthy, BW; Farzal, Z; Mamdani, M; Bennett, WD; Fine, JP; Senior, BA; Zanation, AM; Ebert, CS; Kimple, AJ; Thorp, BD; Frank-Ito, DO; Garcia, GJM; Kimbell, JS

Published Date

  • June 29, 2020

Published In

Volume / Issue

  • 10 / 1

Start / End Page

  • 10568 -

PubMed ID

  • 32601278

Pubmed Central ID

  • 32601278

Electronic International Standard Serial Number (EISSN)

  • 2045-2322

Digital Object Identifier (DOI)

  • 10.1038/s41598-020-66716-0

Language

  • eng

Conference Location

  • England