Prediction of site-specific drug deposition via dry powder inhaler using non-invasive real-time particle emission signal monitoring system
Using an <i>in-vitro</i> model, particle emission signals enable the prediction of site-specific drug deposition from DPI, providing non-invasive, real-time indices and offering personalized inhalation performance assessment beyond conventional flow rate metrics.
Authors
- Satoshi Ueshima (ORCID: https://orcid.org/0000-0002-8828-1083)
- Mikio Kakumoto
- Yuki Kunitsu (ORCID: https://orcid.org/0000-0003-0331-6417)
- Tetsuri Kondo (ORCID: https://orcid.org/0000-0001-5975-1886)
- Yurie Katsube (ORCID: https://orcid.org/0009-0005-3003-3238)
- Sakiko Hatazoe
- Satoshi Hamada (ORCID: https://orcid.org/0000-0001-7215-9027)
- Keiko Ikuta (ORCID: https://orcid.org/0009-0000-7640-8318)
- Tomohiro Terada (ORCID: https://orcid.org/0000-0002-4559-9753)
- Natsuki Imayoshi
- M. Tsuda
- Susumu Sato
- Yuki Shigetsura
- Shunsaku Nakagawa
- Daiki Hira
- Keisuke Umemura
Institutions
- Ritsumeikan University (JP)
- Kyoto University (JP)
- Kyoto Pharmaceutical University (JP)
- Yokufukai Hospital (JP)
- Kyoto University Hospital (JP)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2026-02-27
- DOI
- https://doi.org/10.3389/fphar.2026.1774142
- Primary Topic
- Inhalation and Respiratory Drug Delivery
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Agency for Medical Research and Development