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:
- Chemical Engineering; Materials Science
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.