Nanomaterial grouping: Existing approaches and future recommendations

Anna Giusti , Rambabu Atluri , Rositsa Tsekovska , Agnieszka Gajewicz , Margarita D. Apostolova , Chiara L. Battistelli , Eric A.J. Bleeker , Cecilia Bossa , Jacques Bouillard , Maria Dusinska , Paloma Gómez-Fernández , Roland Grafström , Maciej Gromelski , Yordan Handzhiyski , Nicklas Raun Jacobsen , Paula Jantunen , Keld Alstrup Jensen , Agnieszka Mech , José Maria Navas , Penny Nymark , Agnes G. Oomen , Tomasz Puzyn , Kirsten Rasmussen , Christian Riebeling , Isabel Rodriguez-Llopis , Stefania Sabella , Juan Riego Sintes , Blanca Suarez-Merino , Speranta Tanasescu , Håkan Wallin , Andrea Haase


The physico-chemical properties of manufactured nanomaterials (NMs) can be fine-tuned to obtain different functionalities addressing the needs of specific industrial applications. The physico-chemical properties of NMs also drive their biological interactions. Accordingly, each NM requires an adequate physico-chemical characterization and potentially an extensive and time-consuming (eco)toxicological assessment, depending on regulatory requirements. Grouping and read-across approaches, which have already been established for chemicals in general, are based on similarity between substances and can be used to fill data gaps without performing additional testing. Available data on “source” chemicals are thus used to predict the fate, toxicokinetics and/or (eco)toxicity of structurally similar “target” chemical(s). For NMs similar approaches are only beginning to emerge and several challenges remain, including the identification of the most relevant physico-chemical properties for supporting the claim of similarity. In general, NMs require additional parameters for a proper physico-chemical description. Furthermore, some parameters change during a NM's life cycle, suggesting that also the toxicological profile may change. This paper compares existing concepts for NM grouping, considering their underlying basic principles and criteria as well as their applicability for regulatory and other purposes. Perspectives and recommendations based on experiences obtained during the EU Horizon 2020 project NanoReg2 are presented. These include, for instance, the importance of harmonized data storage systems, the application of harmonized scoring systems for comparing biological responses, and the use of high-throughput and other screening approaches. We also include references to other ongoing EU projects addressing some of these challenges.
Author Anna Giusti
Anna Giusti,,
, Rambabu Atluri
Rambabu Atluri,,
, Rositsa Tsekovska
Rositsa Tsekovska,,
, Agnieszka Gajewicz (FCh / DEChR / LECh)
Agnieszka Gajewicz,,
- Laboratory of Environmental Chemometrics
, Margarita D. Apostolova
Margarita D. Apostolova,,
, Chiara L. Battistelli
Chiara L. Battistelli,,
, Eric A.J. Bleeker
Eric A.J. Bleeker,,
, Cecilia Bossa
Cecilia Bossa,,
, Jacques Bouillard
Jacques Bouillard,,
, Maria Dusinska
Maria Dusinska,,
et al.`
Journal seriesNanoImpact, ISSN 2452-0748, (N/A 100 pkt)
Issue year2019
Publication size in sheets0.9
Article number100182
Keywords in EnglishGrouping, read-across, nanomaterials, toxicity prediction, risk assessment, category approach, analogue approach
ASJC Classification2739 Public Health, Environmental and Occupational Health; 3311 Safety Research; 2213 Safety, Risk, Reliability and Quality; 2501 Materials Science (miscellaneous)
Languageen angielski
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 12-03-2020, ArticleFromJournal
Publication indicators WoS Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.936
Citation count*3 (2020-03-25)
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