Numerical evaluation of spray position for improved nasal drug delivery

  • Saikat Basu
  • , Landon T. Holbrook
  • , Kathryn Kudlaty
  • , Olulade Fasanmade
  • , Jihong Wu
  • , Alyssa Burke
  • , Benjamin W. Langworthy
  • , Zainab Farzal
  • , Mohammed Mamdani
  • , William D. Bennett
  • , Jason P. Fine
  • , Brent A. Senior
  • , Adam M. Zanation
  • , Charles S. Ebert
  • , Adam J. Kimple
  • , Brian D. Thorp
  • , Dennis O. Frank-Ito
  • , Guilherme J.M. Garcia
  • , Julia S. Kimbell

Research output: Contribution to journalArticlepeer-review

76 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number10568
JournalScientific reports
Volume10
Issue number1
DOIs
StatePublished - Dec 1 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, The Author(s).

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