Host: The Japanese Society of Toxicology
【Introduction】Among nanomaterials, nanosilica is a material that has been put to practical use in an extensive range of industrial fields in Japan and abroad. However, the number of test data on toxicity information is scarce, and comprehensive response to toxicity evaluation and safety is required.
【Method】In this study, we collected test data of physicochemical properties (PCPs) and harmfulness information for five types of silicon dioxide nanoparticles (SiO2 NPs) provided by the OECD NM safety assessment test document and eNanoMapper DB and searched and scrutinized data necessary for statistical analysis using SIMCA-P. Furthermore, we analyzed the similarity of PCP values and examined the usefulness of this method for toxicity evaluation using multivariate analysis for the relationship between PCPs and hazard information.
【Result and Discussion】PCPs of about 62 items for which was collected information were classified by hierarchical clustering analysis, and their similarities were shown by Dendrogram. On the other hand, the relevance of hazard information was characterized by property items showing toxicity by OPLS (Orthogonal partial least squares). From the results obtained in this analysis, it was possible to clarify the slight differences in PCPs associated with toxicity using a vast data collection on NM's PCPs. Therefore, it is suggested that the various statistical methods used in this analysis can be useful tools for evaluating the properties of NM and be applied to toxicity evaluation methods based on the properties of NM.
