Mclaughlan, JR orcid.org/0000-0001-5795-4372, Harput, S, Abou-Saleh, RH orcid.org/0000-0002-8471-2659 et al. (3 more authors) (2017) Characterisation of Liposome-Loaded Microbubble Populations for Subharmonic Imaging. Ultrasound in Medicine and Biology, 43 (1). pp. 346-356. ISSN 0301-5629
Abstract
Therapeutic microbubbles could make an important contribution to the diagnosis and treatment of cancer. Acoustic characterisation was performed on microfluidic generated microbubble populations that either were bare or had liposomes attached. Through the use of broadband attenuation techniques (3–8 MHz), the shell stiffness was measured to be 0.72 ± 0.01 and 0.78 ± 0.05 N/m and shell friction was 0.37 ± 0.05 and 0.74 ± 0.05 × 10−6 kg/s for bare and liposome-loaded microbubbles, respectively. Acoustic scatter revealed that liposome-loaded microbubbles had a lower subharmonic threshold, occurring from a peak negative pressure of 50 kPa, compared with 200 kPa for equivalent bare microbubbles. It was found that liposome loading had a negligible effect on the destruction threshold for this microbubble type, because at a mechanical index >0.4 (570 kPa), 80% of both populations were destroyed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Authors. Published by Elsevier Inc. on behalf of World Federation for Ultrasound in Medicine & Biology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Ultrasound contrast agents; Drug delivery; Subharmonic imaging; Microfluidics; Liposomes; Microbubbles |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Physics and Astronomy (Leeds) > Molecular & Nanoscale Physics |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Oct 2016 11:28 |
Last Modified: | 05 Oct 2017 15:37 |
Published Version: | https://doi.org/10.1016/j.ultrasmedbio.2016.09.011 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ultrasmedbio.2016.09.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106693 |