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Challenges of Regulation and Risk Assessment of Nanomaterials

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Application <strong>and</strong> adaptation <strong>of</strong> exposure models<br />

Brouwer D. 1 , van Tongeren M. 2 , Jensen K.A. 3<br />

1 TNO, Zeist,The Netherl<strong>and</strong>s; 2 IOM, Edinburgh, UK; 3 NRCWE, Copenhagen, Denmark<br />

Models to predict either inhalation or dermal exposure <strong>of</strong> workers <strong>and</strong> consumers to chemical<br />

substances have been developed <strong>and</strong> are currently used for (initial) risk evaluation purposes, e.g.<br />

REACH. For inhalation most exposure models are based on a source- receptor approach,<br />

distinguishing emission, transport, immission, <strong>and</strong> personal exposure. The applicability for estimating<br />

exposure to nanoparticles has been evaluated both conceptually (Schneider et al., 2011) <strong>and</strong><br />

empirically by comparison <strong>of</strong> model outputs with actual data collected in workplace measurement<br />

campaigns as part <strong>of</strong> the NANEX project.<br />

Conceptually the models should be appropriate; however, modules that address the potential for<br />

coagulation, <strong>and</strong> adjust for deposition should be included. Further, it was concluded that the model<br />

variables, or factors that modify the transport <strong>of</strong> an aerosol from a source to the receptor, should be<br />

refined. In addition, the model output should be able to estimate other relevant exposure<br />

parameters <strong>and</strong> exposure metric. The latter may be illustrated by lack <strong>of</strong> correlation between model<br />

outputs (mass concentration) <strong>and</strong> actual data (particle-number concentration) collected in workplace<br />

measurement campaigns. In addition to the challenges in correlation between e.g. mass <strong>and</strong> number<br />

concentrations, lack <strong>of</strong> correlation will also be due to the variability <strong>of</strong> the exposure data combined<br />

with the relatively narrow range in possible model exposure estimates. It was concluded that<br />

refinement <strong>of</strong> parameter categories is needed, in view <strong>of</strong> typical activities for nanomaterial h<strong>and</strong>ling,<br />

amount <strong>of</strong> h<strong>and</strong>ling categories, time-resolution etc.<br />

Currently, the first refinements <strong>of</strong> models have been developed <strong>and</strong> are introduced in risk b<strong>and</strong>ing<br />

tools, e.g. St<strong>of</strong>fenmanager Nano® (NL) <strong>and</strong> NanoSafer® (DK). Consequently, the exposure b<strong>and</strong>s part<br />

<strong>of</strong> the latter models provide a more comprehensive exposure assessment compared to other Control<br />

B<strong>and</strong>ing tools where only the potential for emission is used as a proxy for exposure.<br />

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