| Literature DB >> 29893192 |
Danail Hristozov1,2, Lisa Pizzol1,2, Gianpietro Basei1, Alex Zabeo1,2, Aiga Mackevica3, Steffen Foss Hansen3, Ilse Gosens4, Flemming R Cassee4,5, Wim de Jong4, Antti Joonas Koivisto6, Nicole Neubauer7, Araceli Sanchez Jimenez7,8, Elena Semenzin1, Vrishali Subramanian1, Wouter Fransman9, Keld Alstrup Jensen6, Wendel Wohlleben6,7, Vicki Stone10, Antonio Marcomini1.
Abstract
The use of nano-scale copper oxide (CuO) and basic copper carbonate (Cu2(OH)2CO3) in both ionic and micronized wood preservatives has raised concerns about the potential of these substances to cause adverse humans health effects. To address these concerns, we performed quantitative (probabilistic) human health risk assessment (HHRA) along the lifecycles of these formulations used in antibacterial and antifungal wood coatings and impregnations by means of the EU FP7 SUN project's Decision Support System (SUNDS, www.sunds.gd). The results from the risk analysis revealed inhalation risks from CuO in exposure scenarios involving workers handling dry powders and performing sanding operations as well as potential ingestion risks for children exposed to nano Cu2(OH)2CO3 in a scenario involving hand-to-mouth transfer of the substance released from impregnated wood. There are, however, substantial uncertainties in these results, so some of the identified risks may stem from the safety margin of extrapolation to fill data gaps and might be resolved by additional testing. Our stochastic approach successfully communicated the contribution of different sources of uncertainty in the risk assessment. The main source of uncertainty was the extrapolation from short to long-term exposure, which was necessary due to the lack of (sub)chronic in vivo studies with CuO and Cu2(OH)2CO3. Considerable uncertainties also stemmed from the use of default inter- and intra-species extrapolation factors.Entities:
Keywords: Engineered nanomaterials; SUN Decision Support System; copper carbonate; copper oxide; probabilistic human health risk assessment
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Year: 2018 PMID: 29893192 DOI: 10.1080/17435390.2018.1472314
Source DB: PubMed Journal: Nanotoxicology ISSN: 1743-5390 Impact factor: 5.913