Gottschalk Fadri, Lassen Carsten, Kjoelholt Jesper, Christensen Frans, Nowack Bernd
Environmental, technical and scientific services-ETSS, CH-7558 Strada, Switzerland.
COWI A/S, Parallelvej 2, Kongens Lyngby, DK 2800, Denmark.
Int J Environ Res Public Health. 2015 May 22;12(5):5581-602. doi: 10.3390/ijerph120505581.
Predictions of environmental concentrations of engineered nanomaterials (ENM) are needed for their environmental risk assessment. Because analytical data on ENM-concentrations in the environment are not yet available, exposure modeling represents the only source of information on ENM exposure in the environment. This work provides material flow data and environmental concentrations of nine ENM in Denmark. It represents the first study that distinguishes between photostable TiO₂ (as used in sunscreens) and photocatalytic TiO₂ (as used in self-cleaning surfaces). It also provides first exposure estimates for quantum dots, carbon black and CuCO₃. Other ENM that are covered are ZnO, Ag, CNT and CeO₂. The modeling is based for all ENM on probability distributions of production, use, environmental release and transfer between compartments, always considering the complete life-cycle of products containing the ENM. The magnitude of flows and concentrations of the various ENM depends on the one hand on the production volume but also on the type of products they are used in and the life-cycles of these products and their potential for release. The results reveal that in aquatic systems the highest concentrations are expected for carbon black and photostable TiO₂, followed by CuCO₃ (under the assumption that the use as wood preservative becomes important). In sludge-treated soil highest concentrations are expected for CeO₂ and TiO₂. Transformation during water treatments results in extremely low concentrations of ZnO and Ag in the environment. The results of this study provide valuable environmental exposure information for future risk assessments of these ENM.
对工程纳米材料(ENM)进行环境风险评估需要预测其环境浓度。由于目前尚无关于环境中ENM浓度的分析数据,暴露模型是环境中ENM暴露信息的唯一来源。这项工作提供了丹麦9种ENM的物质流数据和环境浓度。这是第一项区分光稳定TiO₂(用于防晒霜)和光催化TiO₂(用于自清洁表面)的研究。它还提供了量子点、炭黑和CuCO₃的首次暴露估计。涵盖的其他ENM包括ZnO、Ag、CNT和CeO₂。所有ENM的建模均基于生产、使用、环境释放和各区间转移的概率分布,始终考虑含ENM产品的完整生命周期。各种ENM的流量和浓度大小一方面取决于产量,还取决于它们所使用的产品类型以及这些产品的生命周期及其释放潜力。结果表明,在水生系统中,炭黑和光稳定TiO₂的浓度预计最高,其次是CuCO₃(假设用作木材防腐剂变得重要)。在污泥处理过的土壤中,CeO₂和TiO₂的浓度预计最高。水处理过程中的转化导致环境中ZnO和Ag的浓度极低。本研究结果为这些ENM未来的风险评估提供了有价值的环境暴露信息。