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Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5675993/ https://www.ncbi.nlm.nih.gov/pubmed/29159219 http://dx.doi.org/10.1016/j.dib.2017.09.011 |
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author | Lal, Saurabh Hall, Richard M. Tipper, Joanne L. |
author_facet | Lal, Saurabh Hall, Richard M. Tipper, Joanne L. |
author_sort | Lal, Saurabh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5675993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-56759932017-11-20 Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis Lal, Saurabh Hall, Richard M. Tipper, Joanne L. Data Brief Materials Sciences 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. Elsevier 2017-09-15 /pmc/articles/PMC5675993/ /pubmed/29159219 http://dx.doi.org/10.1016/j.dib.2017.09.011 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Materials Sciences Lal, Saurabh Hall, Richard M. Tipper, Joanne L. Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis |
title | Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis |
title_full | Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis |
title_fullStr | Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis |
title_full_unstemmed | Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis |
title_short | Concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis |
title_sort | concentration and size distribution data of silicon nitride nanoparticles measured using nanoparticle tracking analysis |
topic | Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5675993/ https://www.ncbi.nlm.nih.gov/pubmed/29159219 http://dx.doi.org/10.1016/j.dib.2017.09.011 |
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