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Reliable nanomaterial classification of powders using the volume-specific surface area method

The volume-specific surface area (VSSA) of a particulate material is one of two apparently very different metrics recommended by the European Commission for a definition of “nanomaterial” for regulatory purposes: specifically, the VSSA metric may classify nanomaterials and non-nanomaterials differen...

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Autores principales: Wohlleben, Wendel, Mielke, Johannes, Bianchin, Alvise, Ghanem, Antoine, Freiberger, Harald, Rauscher, Hubert, Gemeinert, Marion, Hodoroaba, Vasile-Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5306339/
https://www.ncbi.nlm.nih.gov/pubmed/28250712
http://dx.doi.org/10.1007/s11051-017-3741-x
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author Wohlleben, Wendel
Mielke, Johannes
Bianchin, Alvise
Ghanem, Antoine
Freiberger, Harald
Rauscher, Hubert
Gemeinert, Marion
Hodoroaba, Vasile-Dan
author_facet Wohlleben, Wendel
Mielke, Johannes
Bianchin, Alvise
Ghanem, Antoine
Freiberger, Harald
Rauscher, Hubert
Gemeinert, Marion
Hodoroaba, Vasile-Dan
author_sort Wohlleben, Wendel
collection PubMed
description The volume-specific surface area (VSSA) of a particulate material is one of two apparently very different metrics recommended by the European Commission for a definition of “nanomaterial” for regulatory purposes: specifically, the VSSA metric may classify nanomaterials and non-nanomaterials differently than the median size in number metrics, depending on the chemical composition, size, polydispersity, shape, porosity, and aggregation of the particles in the powder. Here we evaluate the extent of agreement between classification by electron microscopy (EM) and classification by VSSA on a large set of diverse particulate substances that represent all the anticipated challenges except mixtures of different substances. EM and VSSA are determined in multiple labs to assess also the level of reproducibility. Based on the results obtained on highly characterized benchmark materials from the NanoDefine EU FP7 project, we derive a tiered screening strategy for the purpose of implementing the definition of nanomaterials. We finally apply the screening strategy to further industrial materials, which were classified correctly and left only borderline cases for EM. On platelet-shaped nanomaterials, VSSA is essential to prevent false-negative classification by EM. On porous materials, approaches involving extended adsorption isotherms prevent false positive classification by VSSA. We find no false negatives by VSSA, neither in Tier 1 nor in Tier 2, despite real-world industrial polydispersity and diverse composition, shape, and coatings. The VSSA screening strategy is recommended for inclusion in a technical guidance for the implementation of the definition. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11051-017-3741-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-53063392017-02-27 Reliable nanomaterial classification of powders using the volume-specific surface area method Wohlleben, Wendel Mielke, Johannes Bianchin, Alvise Ghanem, Antoine Freiberger, Harald Rauscher, Hubert Gemeinert, Marion Hodoroaba, Vasile-Dan J Nanopart Res Research Paper The volume-specific surface area (VSSA) of a particulate material is one of two apparently very different metrics recommended by the European Commission for a definition of “nanomaterial” for regulatory purposes: specifically, the VSSA metric may classify nanomaterials and non-nanomaterials differently than the median size in number metrics, depending on the chemical composition, size, polydispersity, shape, porosity, and aggregation of the particles in the powder. Here we evaluate the extent of agreement between classification by electron microscopy (EM) and classification by VSSA on a large set of diverse particulate substances that represent all the anticipated challenges except mixtures of different substances. EM and VSSA are determined in multiple labs to assess also the level of reproducibility. Based on the results obtained on highly characterized benchmark materials from the NanoDefine EU FP7 project, we derive a tiered screening strategy for the purpose of implementing the definition of nanomaterials. We finally apply the screening strategy to further industrial materials, which were classified correctly and left only borderline cases for EM. On platelet-shaped nanomaterials, VSSA is essential to prevent false-negative classification by EM. On porous materials, approaches involving extended adsorption isotherms prevent false positive classification by VSSA. We find no false negatives by VSSA, neither in Tier 1 nor in Tier 2, despite real-world industrial polydispersity and diverse composition, shape, and coatings. The VSSA screening strategy is recommended for inclusion in a technical guidance for the implementation of the definition. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11051-017-3741-x) contains supplementary material, which is available to authorized users. Springer Netherlands 2017-02-11 2017 /pmc/articles/PMC5306339/ /pubmed/28250712 http://dx.doi.org/10.1007/s11051-017-3741-x Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Paper
Wohlleben, Wendel
Mielke, Johannes
Bianchin, Alvise
Ghanem, Antoine
Freiberger, Harald
Rauscher, Hubert
Gemeinert, Marion
Hodoroaba, Vasile-Dan
Reliable nanomaterial classification of powders using the volume-specific surface area method
title Reliable nanomaterial classification of powders using the volume-specific surface area method
title_full Reliable nanomaterial classification of powders using the volume-specific surface area method
title_fullStr Reliable nanomaterial classification of powders using the volume-specific surface area method
title_full_unstemmed Reliable nanomaterial classification of powders using the volume-specific surface area method
title_short Reliable nanomaterial classification of powders using the volume-specific surface area method
title_sort reliable nanomaterial classification of powders using the volume-specific surface area method
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5306339/
https://www.ncbi.nlm.nih.gov/pubmed/28250712
http://dx.doi.org/10.1007/s11051-017-3741-x
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