Hazard assessment of nanomaterials: how to meet the requirements for (next generation) risk assessment

Abstract

Hazard assessment; Nanomaterials; New approach methodologies

Avaluació de perills; Nanomaterials; Noves metodologies d'enfocament

Evaluación de peligros; Nanomateriales; Nuevas metodologías de enfoque

Background: Hazard and risk assessment of nanomaterials (NMs) face challenges due to, among others, the numerous existing nanoforms, discordant data and conflicting results found in the literature, and specific challenges in the application of strategies such as grouping and read-across, emphasizing the need for New Approach Methodologies (NAMs) to support Next Generation Risk Assessment (NGRA). Here these challenges are addressed in a study that couples physico-chemical characterization with in vitro investigations and in silico similarity analyses for nine nanoforms, having different chemical composition, sizes, aggregation states and shapes. For cytotoxicity assessment, three methods (Alamar Blue, Colony Forming Efficiency, and Electric Cell-Substrate Impedance Sensing) are applied in a cross-validation approach to support NAMs implementation into NGRA.

Results: The results highlight the role of physico-chemical properties in eliciting biological responses. Uptake studies reveal distinct cellular morphological changes. The cytotoxicity assessment shows varying responses among NMs, consistent among the three methods used, while only one nanoform gave a positive response in the genotoxicity assessment performed by comet assay.

Conclusions: The study highlights the potential of in silico models to effectively identify biologically active nanoforms based on their physico-chemical properties, reinforcing previous knowledge on the relevance of certain properties, such as aspect ratio. The potential of implementing in vitro methods into NGRA is underlined, cross-validating three cytotoxicity assessment methods, and showcasing their strength in terms of sensitivity and suitability for the testing of NMs.

This work was supported by the Norwegian Research Council project NanoBioReal (grant no. 288768), and by the H2020 projects TWINALT (grant no. 952404—H2020-WIDESPREAD-2020–5) and SABYDOMA (grant no. 862296). I.R.M. would like to thank the L. Meltzers Høyskolenfond 2022 for financial support and M.R.C. to UH-nett Vest.