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Use of the dustiness index in combination with the handling energy factor for exposure modelling of nanomaterials.
Ribalta, Carla; Jensen, Alexander C Ø; Shandilya, Neeraj; Delpivo, Camilla; Jensen, Keld A; Fonseca, Ana Sofia.
Affiliation
  • Ribalta C; The National Research Center for Work Environment (NRCWE), Lersø Parkallé 105, 2100, Copenhagen, Denmark; Federal Institute for Occupational Safety and Health (BAuA), 10317 Berlin, Germany. Electronic address: ribaltacarrasco.carla@baua.bund.de.
  • Jensen ACØ; The National Research Center for Work Environment (NRCWE), Lersø Parkallé 105, 2100, Copenhagen, Denmark.
  • Shandilya N; TNO, Princetonlaan 6, 3584 CB Utrecht, Netherlands. Electronic address: neeraj.shandilya@tno.nl.
  • Delpivo C; LEITAT Technological Centre, C/ de Pallars, 179 - 185, 08005 Barcelona, Spain. Electronic address: cdelpivo@leitat.org.
  • Jensen KA; The National Research Center for Work Environment (NRCWE), Lersø Parkallé 105, 2100, Copenhagen, Denmark. Electronic address: kaj@nfa.dk.
  • Fonseca AS; The National Research Center for Work Environment (NRCWE), Lersø Parkallé 105, 2100, Copenhagen, Denmark. Electronic address: agf@nfa.dk.
NanoImpact ; 33: 100493, 2024 Jan.
Article de En | MEDLINE | ID: mdl-38219948
ABSTRACT
The use of modelling tools in the occupational hygiene community has increased in the last years to comply with the different existing regulations. However, limitations still exist mainly due to the difficulty to obtain certain key parameters such as the emission rate, which in the case of powder handling can be estimated using the dustiness index (DI). The goal of this work is to explore the applicability and usability of the DI for emission source characterization and occupational exposure prediction to particles during nanomaterial powder handling. Modelling of occupational exposure concentrations of 13 case scenarios was performed using a two-box model as well as three nano-specific tools (Stoffenmanager nano, NanoSafer and GUIDEnano). The improvement of modelling performance by using a derived handling energy factor (H) was explored. Results show the usability of the DI for emission source characterization and respirable mass exposure modelling of powder handling scenarios of nanomaterials. A clear improvement in modelling outcome was obtained when using derived quartile-3 H factors with, 1) Pearson correlations of 0.88 vs. 0.52 (not using H), and 2) ratio of modelled/measured concentrations ranging from 0.9 to 10 in 75% cases vs. 16.7% of the cases when not using H. Particle number concentrations were generally underpredicted. Using the most conservative H values, predictions with ratios modelled/measured concentrations of 0.4-3.6 were obtained.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Nanostructures / Polluants atmosphériques d'origine professionnelle Type d'étude: Prognostic_studies Langue: En Journal: NanoImpact Année: 2024 Type de document: Article Pays de publication: Pays-Bas

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Nanostructures / Polluants atmosphériques d'origine professionnelle Type d'étude: Prognostic_studies Langue: En Journal: NanoImpact Année: 2024 Type de document: Article Pays de publication: Pays-Bas