2019
DOI: 10.3390/ma12193247
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NanoDefiner e-Tool: An Implemented Decision Support Framework for Nanomaterial Identification

Abstract: The European Commission’s recommendation on the definition of nanomaterial (2011/696/EU) established an applicable standard for material categorization. However, manufacturers face regulatory challenges during registration of their products. Reliable categorization is difficult and requires considerable expertise in existing measurement techniques (MTs). Additionally, organizational complexity is increased as different authorities’ registration processes require distinct reporting. The NanoDefine project tackl… Show more

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Cited by 10 publications
(10 citation statements)
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“…A hands-on training prior to the summit (September 24) on determining size distributions of nanomaterials was provided to 28 participants from 12 countries. Participants had the opportunity to deepen their knowledge on nanoparticle size distributions, to apply specific measurement techniques and to discover the capabilities of the NanoDefiner e-tool, a decision support framework for the characterisation of potential nanomaterials developed in the European Union NanoDefine project ( Mech et al, 2020a ; Brüngel et al, 2019 ). Furthermore, 29 participants of the 2019 GSRS attended a short course on the use of reference materials including the estimation of measurement uncertainty organised by the JRC and another 40 attendees of 2019 GSRS visited several laboratories at the JRC-Ispra site on September 27.…”
Section: Introductionmentioning
confidence: 99%
“…A hands-on training prior to the summit (September 24) on determining size distributions of nanomaterials was provided to 28 participants from 12 countries. Participants had the opportunity to deepen their knowledge on nanoparticle size distributions, to apply specific measurement techniques and to discover the capabilities of the NanoDefiner e-tool, a decision support framework for the characterisation of potential nanomaterials developed in the European Union NanoDefine project ( Mech et al, 2020a ; Brüngel et al, 2019 ). Furthermore, 29 participants of the 2019 GSRS attended a short course on the use of reference materials including the estimation of measurement uncertainty organised by the JRC and another 40 attendees of 2019 GSRS visited several laboratories at the JRC-Ispra site on September 27.…”
Section: Introductionmentioning
confidence: 99%
“…Especially at the tedious manual analysis, the minimum Feret diameter (distance between parallel tangents, corresponds to the “breadth” of the particle) is mostly measured, hence, being also in line with a basic requirement of the EC definition of nanomaterial, which specifies the smallest dimension of particles as defining if a material is nano or not-nano. Meanwhile, there are also software packages available as support for users in categorization of a material as nano or non-nano [ 42 ]. The accurate determination of the smallest dimension of particles constitutes a valuable strength of electron microscopy in comparison to other sizing methods when measuring particles of complex shape.…”
Section: Resultsmentioning
confidence: 99%
“…It builds on three pillars: i) a Methods Knowledge Base (MKB), [16] ii) a techniquedriven Materials Categorization Scheme (MCS), [24] and iii) the DSFS. [16] The Methods Knowl edge Base, the Material Categorization Scheme, and the DSFS are also implemented in a newly developed software solution, the NanoDefiner etool, [25] which is available online. [26] All ele ments of the framework are interlinked and fed by the results and knowledge acquired during the application of the other parts of the framework.…”
Section: The Nanodefiner Framework: An Intelligent Strategy For the Imentioning
confidence: 99%
“…Within the NanoDefine project, case studies were performed to test the DSFS, the MCS, [24] and the etool. [25] Details can be found in a NanoDefine Technical Report. [27] Here, we present a summary of three case studies that illustrate the application of the NanoDefiner Framework.…”
Section: Examples For the Application Of The Nanodefiner Frameworkmentioning
confidence: 99%