NanoDefiner e-tool: An implemented decision support framework for nanomaterial identification

Raphael Brüngel, Johannes Rückert, Wendel Wohlleben, Frank Babick, Antoine Ghanem, Claire Gaillard, Agnieszka Mech, Hubert Rauscher, Vasile Dan Hodoroaba, Stefan Weigel, Christoph M. Friedrich*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)

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 tackled these obstacles by providing the NanoDefiner e-tool: A decision support expert system for nanomaterial identification in a regulatory context. It providesMT 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 ofMT 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.

Original languageEnglish
Article number3247
JournalMaterials
Volume12
Issue number19
DOIs
Publication statusPublished - 1 Oct 2019

Keywords

  • Decision support
  • EC nanomaterial definition
  • Expert system
  • Nanomaterial
  • Nanotechnology
  • Particle measurement
  • Particulate material

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