University of Hertfordshire

X‐ray Computed Tomography: A 3D method for characterising inhalation powders

Research output: Contribution to conferenceAbstract

Standard

X‐ray Computed Tomography: A 3D method for characterising inhalation powders. / Gajjar, Parmesh; Styliari, Ioanna Danai; Burnett, Timothy; Chen, Xizhong; Elliot, James A.; Ganley, William J.; Hammond, Robert B.; Nguyen, Hien; Price, Robert; Roberts, Kevin J.; Withers, Philip; Murnane, Darragh.

2020. A21-A21 Abstract from Drug Delivery to the Lungs 2019, Edinburgh, United Kingdom.

Research output: Contribution to conferenceAbstract

Harvard

Gajjar, P, Styliari, ID, Burnett, T, Chen, X, Elliot, JA, Ganley, WJ, Hammond, RB, Nguyen, H, Price, R, Roberts, KJ, Withers, P & Murnane, D 2020, 'X‐ray Computed Tomography: A 3D method for characterising inhalation powders', Drug Delivery to the Lungs 2019, Edinburgh, United Kingdom, 11/12/19 - 13/12/19 pp. A21-A21. https://doi.org/10.1089/jamp.2020.ab01.abstracts

APA

Gajjar, P., Styliari, I. D., Burnett, T., Chen, X., Elliot, J. A., Ganley, W. J., Hammond, R. B., Nguyen, H., Price, R., Roberts, K. J., Withers, P., & Murnane, D. (2020). X‐ray Computed Tomography: A 3D method for characterising inhalation powders. A21-A21. Abstract from Drug Delivery to the Lungs 2019, Edinburgh, United Kingdom. https://doi.org/10.1089/jamp.2020.ab01.abstracts

Vancouver

Gajjar P, Styliari ID, Burnett T, Chen X, Elliot JA, Ganley WJ et al. X‐ray Computed Tomography: A 3D method for characterising inhalation powders. 2020. Abstract from Drug Delivery to the Lungs 2019, Edinburgh, United Kingdom. https://doi.org/10.1089/jamp.2020.ab01.abstracts

Author

Gajjar, Parmesh ; Styliari, Ioanna Danai ; Burnett, Timothy ; Chen, Xizhong ; Elliot, James A. ; Ganley, William J. ; Hammond, Robert B. ; Nguyen, Hien ; Price, Robert ; Roberts, Kevin J. ; Withers, Philip ; Murnane, Darragh. / X‐ray Computed Tomography: A 3D method for characterising inhalation powders. Abstract from Drug Delivery to the Lungs 2019, Edinburgh, United Kingdom.1 p.

Bibtex

@conference{6850a46f16624f55951454eb3711982e,
title = "X‐ray Computed Tomography: A 3D method for characterising inhalation powders",
abstract = "Accurate characterisation of the microstructure of inhaled powders is an essential element in our understanding of dry powder inhalers, yet current methods for measuring critical material attributes such as the particle size and shape suffer from low resolution, image in 2D or make shape assumptions. In this work, we demonstrate how X‐ray Computed Tomography (XCT) is a non‐destructive, fully three‐dimensional technique for characterising inhalation powder blends. Particle size distributions produced through XCT are shown to have good correspondence with those produced through laser diffraction and optical microscopy, whilst XCT sphericity distributions provide a more accurate reflection of the powder shape. This shows the promise for XCT as a valuable powder characterisation technique that develops our fundamental understanding of powder microstructure, a descriptor now required from the United States Food and Drug Administration (Q3 equivalence).",
author = "Parmesh Gajjar and Styliari, {Ioanna Danai} and Timothy Burnett and Xizhong Chen and Elliot, {James A.} and Ganley, {William J.} and Hammond, {Robert B.} and Hien Nguyen and Robert Price and Roberts, {Kevin J.} and Philip Withers and Darragh Murnane",
year = "2020",
month = apr,
day = "2",
doi = "10.1089/jamp.2020.ab01.abstracts",
language = "English",
pages = "A21--A21",
note = "Drug Delivery to the Lungs 2019, DDL2019 ; Conference date: 11-12-2019 Through 13-12-2019",
url = "https://aerosol-soc.com/events/ddl2019/",

}

RIS

TY - CONF

T1 - X‐ray Computed Tomography: A 3D method for characterising inhalation powders

AU - Gajjar, Parmesh

AU - Styliari, Ioanna Danai

AU - Burnett, Timothy

AU - Chen, Xizhong

AU - Elliot, James A.

AU - Ganley, William J.

AU - Hammond, Robert B.

AU - Nguyen, Hien

AU - Price, Robert

AU - Roberts, Kevin J.

AU - Withers, Philip

AU - Murnane, Darragh

N1 - Conference code: 30

PY - 2020/4/2

Y1 - 2020/4/2

N2 - Accurate characterisation of the microstructure of inhaled powders is an essential element in our understanding of dry powder inhalers, yet current methods for measuring critical material attributes such as the particle size and shape suffer from low resolution, image in 2D or make shape assumptions. In this work, we demonstrate how X‐ray Computed Tomography (XCT) is a non‐destructive, fully three‐dimensional technique for characterising inhalation powder blends. Particle size distributions produced through XCT are shown to have good correspondence with those produced through laser diffraction and optical microscopy, whilst XCT sphericity distributions provide a more accurate reflection of the powder shape. This shows the promise for XCT as a valuable powder characterisation technique that develops our fundamental understanding of powder microstructure, a descriptor now required from the United States Food and Drug Administration (Q3 equivalence).

AB - Accurate characterisation of the microstructure of inhaled powders is an essential element in our understanding of dry powder inhalers, yet current methods for measuring critical material attributes such as the particle size and shape suffer from low resolution, image in 2D or make shape assumptions. In this work, we demonstrate how X‐ray Computed Tomography (XCT) is a non‐destructive, fully three‐dimensional technique for characterising inhalation powder blends. Particle size distributions produced through XCT are shown to have good correspondence with those produced through laser diffraction and optical microscopy, whilst XCT sphericity distributions provide a more accurate reflection of the powder shape. This shows the promise for XCT as a valuable powder characterisation technique that develops our fundamental understanding of powder microstructure, a descriptor now required from the United States Food and Drug Administration (Q3 equivalence).

U2 - 10.1089/jamp.2020.ab01.abstracts

DO - 10.1089/jamp.2020.ab01.abstracts

M3 - Abstract

SP - A21-A21

T2 - Drug Delivery to the Lungs 2019

Y2 - 11 December 2019 through 13 December 2019

ER -