Similarity assessment of metallic nanoparticles within a risk assessment framework: a case study on metallic nanoparticles and lettuce

SONG, Y.; Bleeker, E.; Cross, R.K.; Vijver, M.G.; Peijnenburg, W.J.G.M. (2022)

Article / Letter to editor

Similarity assessment is one of the means of optimally using scarcely available experimental data on the fate and hazards of nanoforms (NFs) for regulatory purposes. For a set of NFs that are shown to be similar it is allowed in a regulatory context to apply the information available on any of the NFs within the group to the whole set of NFs. Obviously, a proper justification for such a similarity assessment is to be provided. Within the context of exemplifying such a justification, a case study was performed aimed at assessing the similarity of a set of spherical metallic NFs that different with regard to chemical composition (three metals) and particle size (three different sizes). The endpoints of assessment were root elongation and biomass increase of lettuce (Lactuca sativa L.) seedlings and exposure assessment was performed in order to express the actual exposure concentration in terms of time-weighted average particle concentrations. The results of the study show that for the specific endpoints assessed, chemical composition is driving NF toxicity and this is mostly due to impacts on the fate of the NFs. On the other hand, particle size of Cu NFs had a negligible impact on the dose-response relationships for the specific endpoints assessed. It is thus concluded that hazard data available on spherical Cu NF tested in our case can be used to inform on the hazards of any spherical Cu NF within the size range of 25–100 nm, but only applies for the certain endpoints. Also, toxicity data for the Cu²⁺-ion are suited for such a similarity assessment.

• Nanoparticles
• Toxicity
• Lettuce
• Grouping
• Similarity Assessment
• Risk Assessment

• All authors: SONG, Y.; Bleeker, E.; Cross, R.K.; Vijver, M.G.; Peijnenburg, W.J.G.M.
• Date: 2022-03-25
• Journal: NanoImpact
• Volume: 26
• DOI: doi:10.1016/j.impact.2022.100397
• Sponsorship: Horizon 2020(H2020)
• Grant number: 760840