Gajjar, P, Bale, H, Burnett, TL et al. (10 more authors) (2020) Unlocking the Microstructure of Inhalation Blends using X-Ray Microscopy. In: Dalby, RN, Byron, PR, Hindle, M, Peart, J, Traini, D, Young, PM, Farr, SJ, Suman, JD and Watts, A, (eds.) Respiratory Drug Delivery 2020, Volume 1. Respiratory Drug Delivery 2020 (Digital RDD 2020), 26-30 Apr 2020, Online. Virginia Commonwealth University , pp. 101-112. ISBN 978-1-942911-46-3
Abstract
Microstructural equivalence (Q3) for dry powder inhalers (DPIs) is complex because it involves both pre- and post-aerosolization powders and can be influenced by the DPI device and the patient’s aerosolization efficiency. In this paper, we show how advanced 3D X-ray microscopy (XRM, also known as X-ray computed tomography) techniques can provide unique microstructural insights into pre-aerosolized inhalation powders. Nano-scale XRM is used to detect differences within individual lactose particles and agglomerates, including voids and intra-agglomerate size distributions. Micro-scale XRM is used to visualize and quantify lactose fines (<12 mm) within a powder bed. XRM is also used to discriminate between excipient and terbutaline sulphate particles in an inhalation blend. These advanced XRM techniques could provide valuable microstructural information to help address Q3 equivalence during bioequivalence determination in inhalation drug products.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/N025075/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 May 2020 12:48 |
Last Modified: | 13 May 2020 12:48 |
Published Version: | https://www.rddonline.com/rdd/article.php?ArticleI... |
Status: | Published |
Publisher: | Virginia Commonwealth University |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160637 |