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

作者：Tantra R^*; Oksel C; Robinson K N; Sikora A; Wang X Z; Wilkins T A

来源：Particuology, 2015, 22: 30-38.

DOI：10.1016/j.partic.2014.10.004

• Nanomaterial characterization
• Principal component analysis
• Nanotoxicology
• Dispersion
• Particle size distribution

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.

• 出版日期2015-10