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Development of a systematic method to assess similarity between nanomaterials for human hazard evaluation purposes - lessons learnt
Ctr Hlth Protect, Natl Inst Publ Hlth & Environm, Bilthoven, Netherlands.
Finnish Inst Occupat Hlth, Helsinki, Finland;Univ Zaragoza, Dept Anat Embryol & Genet, Zaragoza, Spain.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Nanotechnology and Functional Materials.
Leitat Technol Ctr, Terrassa, Spain.
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2018 (English)In: Nanotoxicology, ISSN 1743-5390, E-ISSN 1743-5404, Vol. 12, no 7, p. 652-676Article in journal (Refereed) Published
Abstract [en]

Within the EU FP-7 GUIDEnano project, a methodology was developed to systematically quantify the similarity between a nanomaterial (NM) that has been tested in toxicity studies and the NM for which risk needs to be evaluated, for the purpose of extrapolating toxicity data between the two materials. The methodology is a first attempt to use current knowledge on NM property-hazard relationships to develop a series of pragmatic and systematic rules for assessing NM similarity. Moreover, the methodology takes into account the practical feasibility, in that it is based on generally available NM characterization information. In addition to presenting this methodology, the lessons learnt and the challenges faced during its development are reported here. We conclude that there is a large gap between the information that is ideally needed and its application to real cases. The current database on property-hazard relationships is still very limited, which hinders the agreement on the key NM properties constituting the basis of the similarity assessment and the development of associated science-based and unequivocal rules. Currently, one of the most challenging NM properties to systematically assess in terms of similarity between two NMs is surface coating and functionalization, which lacks standardized parameters for description and characterization methodology. Standardization of characterization methods that lead to quantitative, unambiguous, and measurable parameters describing NM properties are necessary in order to build a sufficiently robust property-hazard database that allows for evidence-based refinement of our methodology, or any other attempt to systematically assess the similarity of NMs.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS LTD , 2018. Vol. 12, no 7, p. 652-676
Keywords [en]
Similarity, nanomaterials, toxicity, size, shape, surface chemistry, physicochemical properties, nanoforms, read-across, risk assessment
National Category
Environmental Sciences Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-364487DOI: 10.1080/17435390.2018.1465142ISI: 000443905400001PubMedID: 29732939OAI: oai:DiVA.org:uu-364487DiVA, id: diva2:1259290
Funder
EU, FP7, Seventh Framework Programme, 604387Available from: 2018-10-29 Created: 2018-10-29 Last updated: 2018-11-01Bibliographically approved

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