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.
CITATION STYLE
Tantra, R., Oksel, C., Robinson, K. N., Sikora, A., Wang, X. Z., & Wilkins, T. A. (2015). A method for assessing nanomaterial dispersion quality based on principal component analysis of particle size distribution data. Particuology, 22, 30–38. https://doi.org/10.1016/j.partic.2014.10.004
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