Environmental Risk Assessment Strategy for Nanomaterials

• Published in: International journal of environmental research and public health Vol. 14; no. 10; p. 1251
• Main Authors: Scott‐Fordsmand, Janeck, Peijnenburg, Willie, Semenzin, Elena, Nowack, Bernd, Hunt, Neil, Hristozov, Danail, Marcomini, Antonio, Irfan, Muhammad‐Adeel, Jiménez, Araceli Sánchez, Landsiedel, Robert, Tran, Lang, Oomen, Agnes, Bos, Peter, Hund‐Rinke, Kerstin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 19.10.2017; MDPI
• Subjects: Environmental science; Nanomaterials; Risk assessment; risk assessment; environment; nanomaterials
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph14101251

An Environmental Risk Assessment (ERA) for nanomaterials (NMs) is outlined in this paper. Contrary to other recent papers on the subject, the main data requirements, models and advancement within each of the four risk assessment domains are described, i.e., in the: (i) materials, (ii) release, fate and exposure, (iii) hazard and (iv) risk characterisation domains. The material, which is obviously the foundation for any risk assessment, should be described according to the legislatively required characterisation data. Characterisation data will also be used at various levels within the ERA, e.g., exposure modelling. The release, fate and exposure data and models cover the input for environmental distribution models in order to identify the potential (PES) and relevant exposure scenarios (RES) and, subsequently, the possible release routes, both with regard to which compartment(s) NMs are distributed in line with the factors determining the fate within environmental compartment. The initial outcome in the risk characterisation will be a generic Predicted Environmental Concentration (PEC), but a refined PEC can be obtained by applying specific exposure models for relevant media. The hazard information covers a variety of representative, relevant and reliable organisms and/or functions, relevant for the RES and enabling a hazard characterisation. The initial outcome will be hazard characterisation in test systems allowing estimating a Predicted No-Effect concentration (PNEC), either based on uncertainty factors or on a NM adapted version of the Species Sensitivity Distributions approach. The risk characterisation will either be based on a deterministic risk ratio approach (i.e., PEC/PNEC) or an overlay of probability distributions, i.e., exposure and hazard distributions, using the nano relevant models.