A method for assessing nanomaterial dispersion quality based on principal component analysis of particle size distribution data

Citation data:

Particuology, ISSN: 1674-2001, Vol: 22, Page: 30-38

Publication Year:
2015
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Abstract Views 8
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Citations 4
Citation Indexes 4
DOI:
10.1016/j.partic.2014.10.004
Author(s):
R. Tantra; K. N. Robinson; A. Sikora; C. Oksel; X. Z. Wang; T. A. Wilkins
Publisher(s):
Elsevier BV
Tags:
Chemical Engineering; Materials Science; Physics and Astronomy
article description
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.