NanoDefiner e-Tool: An Implemented Decision Support Framework for Nanomaterial Identification.

EC nanomaterial definition decision support expert system nanomaterial nanotechnology particle measurement particulate material

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
04 10 2019
Historique:
received: 03 09 2019
revised: 25 09 2019
accepted: 26 09 2019
entrez: 9 10 2019
pubmed: 9 10 2019
medline: 9 10 2019
Statut: epublish

Résumé

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 tackled these obstacles by providing the NanoDefiner e-tool: A decision support expert system for nanomaterial identification in a regulatory context. It provides MT recommendations for categorization of specific materials using a tiered approach (screening/confirmatory), and was constructed with experts from academia and industry to be extensible, interoperable, and adaptable for forthcoming revisions of the nanomaterial definition. An implemented MT-driven material categorization scheme allows detailed description. Its guided workflow is suitable for a variety of user groups. Direct feedback and explanation enable transparent decisions. Expert knowledge is held in a knowledge base for representation of MT performance criteria and physicochemical particle type properties. Continuous revision ensured data quality and validity. Recommendations were validated by independent case studies on industry-relevant particulate materials. Besides supporting material identification and registration, the free and open-source e-tool may serve as template for other expert systems within the nanoscience domain.

Identifiants

pubmed: 31590255
pii: ma12193247
doi: 10.3390/ma12193247
pmc: PMC6803960
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Seventh Framework Programme
ID : 604347
Pays : International

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Auteurs

Raphael Brüngel (R)

Department of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany. raphael.bruengel@fh-dortmund.de.

Johannes Rückert (J)

Department of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany. johannes.rueckert@fh-dortmund.de.

Wendel Wohlleben (W)

Material Physics Research, BASF SE, 67056 Ludwigshafen, Germany. wendel.wohlleben@basf.com.

Frank Babick (F)

Institute of Process Engineering and Environmental Technology, Technische Universität Dresden (TU Dresden), 01062 Dresden, Germany. frank.babick@tu-dresden.de.

Antoine Ghanem (A)

R&I Centre Brussels, Solvay S.A., 1120 Brussels, Belgium. antoine.ghanem@solvay.com.

Claire Gaillard (C)

DG JRC, European Commission, 21027 Ispra, Italy. claire.gaillard@ec.europa.eu.

Agnieszka Mech (A)

DG JRC, European Commission, 21027 Ispra, Italy. agnieszka.mech@ec.europa.eu.

Hubert Rauscher (H)

DG JRC, European Commission, 21027 Ispra, Italy. hubert.rauscher@ec.europa.eu.

Vasile-Dan Hodoroaba (VD)

Division 6.1 Surface Analysis and Interfacial Chemistry, Bundesanstalt für Materialforschung und -prüfung (BAM), 12205 Berlin, Germany. dan.hodoroaba@bam.de.

Stefan Weigel (S)

Institute of Food Safety, RIKILT Wageningen UR, 6708 WB Wageningen, The Netherlands. stefan.weigel@wur.nl.

Christoph M Friedrich (CM)

Department of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), 44227 Dortmund, Germany. christoph.friedrich@fh-dortmund.de.
Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, 45122 Essen, Germany. christoph.friedrich@fh-dortmund.de.

Classifications MeSH