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Reproducibility of methods required to identify and characterize nanoforms of substances

Authors :
Richard K. Cross
Nathan Bossa
Björn Stolpe
Frédéric Loosli
Nicklas Mønster Sahlgren
Per Axel Clausen
Camilla Delpivo
Michael Persson
Andrea Valsesia
Jessica Ponti
Dora Mehn
Didem Ag Seleci
Philipp Müller
Frank von der Kammer
Hubert Rauscher
Dave Spurgeon
Claus Svendsen
Wendel Wohlleben
Source :
NanoImpact. 27
Publication Year :
2021

Abstract

Nanoforms (NFs) of a substance may be distinguished from one another through differences in their physicochemical properties. When registering nanoforms of a substance for assessment under the EU REACH framework, five basic descriptors are required for their identification: composition, surface chemistry, size, specific surface area and shape. To make the risk assessment of similar NFs efficient, a number of grouping frameworks have been proposed, which often require assessment of similarity on individual physicochemical properties as part of the group justification. Similarity assessment requires an understanding of the achievable accuracy of the available methods. It must be demonstrated that measured differences between NFs are greater than the achievable accuracy of the method, to have confidence that the measured differences are indeed real. To estimate the achievable accuracy of a method, we assess the reproducibility of six analytical techniques routinely used to measure these five basic descriptors of nanoforms: inductively coupled plasma mass spectrometry (ICP-MS), Thermogravimetric analysis (TGA), Electrophoretic light scattering (ELS), Brunauer-Emmett-Teller (BET) specific surface area and transmission and scanning electron microscopy (TEM and SEM). Assessment was performed on representative test materials to evaluate the reproducibility of methods on single NFs of substances. The achievable accuracy was defined as the relative standard deviation of reproducibility (RSD

Details

ISSN :
24520748
Volume :
27
Database :
OpenAIRE
Journal :
NanoImpact
Accession number :
edsair.doi.dedup.....bf6159bbab33bc16672d90f06d9fd468