Lal, S, Hall, RM and Tipper, JL orcid.org/0000-0002-8719-0323 (2017) Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis. Data in Brief, 15. pp. 821-823. ISSN 2352-3409
Abstract
This article refers to the paper “A novel method for isolation and recovery of ceramic nanoparticles and metal wear debris from serum lubricants at ultra-low wear rates” (Lal et al., 2016) [1] and describes the concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis (NTA). A NanoSight LM10 instrument was used to capture the video data of silicon nitride nanoparticles moving under Brownian motion in the water. The video data was then analyzed using the NanoSight NTA software. This article also describes a methodology for calculating the percentage recovery of a nanoparticle isolation process.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Published by Elsevier Inc. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds) |
Funding Information: | Funder Grant number EU - European Union 310477 |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Sep 2017 12:28 |
Last Modified: | 17 Jul 2018 11:09 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.dib.2017.09.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:121345 |