Tantra, R, Oksel, C, Robinson, KN et al. (3 more authors) (2015) A method for assessing nanomaterial dispersion quality based on principal component analysis of particle size distribution data. Particuology, 22. pp. 30-38. ISSN 1674-2001
Abstract
Seemingly contradictory findings between studies are a major issue in nanoecotoxicological research and have been explained as a result of the lack of comparability between assay methods, with dispersion of nanomaterials being identified as a key factor. Here we show the use of a multivariate method, principal component analysis (PCA), as a tool in protocol development and categorization of dispersion quality. Results show the significance of particle concentration within a protocol, and its effect on repeatability. Our results suggest that future studies should involve the use of PCA as a powerful data exploration tool to facilitate method development, comparability and integration of data across different laboratories.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Nanomaterial characterization; Principal component analysis; Nanotoxicology; Dispersion; Particle size distribution |
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) > Institute for Particle Science and Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Feb 2016 09:59 |
Last Modified: | 11 Feb 2016 09:59 |
Published Version: | http://dx.doi.org/10.1016/j.partic.2014.10.004 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.partic.2014.10.004 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:94951 |