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作 者:R.Tantra C.Oksel K.N.Robinson A.Sikora X.Z.Wang T.A.Wilkins
机构地区:[1]National Physical Laboratory [2]Institute of Particle Science and Engineering,School of Chemical and Process Engineering,University of Leeds
出 处:《Particuology》2015年第5期30-38,共9页颗粒学报(英文版)
基 金:Framework 7 Projects(MARINA and NanoReg);DEFRA for providing funding for this study
摘 要: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.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.
关 键 词:Nanomaterial characterization Principal component analysis NANOTOXICOLOGY DISPERSION Particle size distribution
分 类 号:TB383.1[一般工业技术—材料科学与工程]
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