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AuthorsScott-Fordsmand, Janeck J
Peijnenburg, Willie J G M
Jiménez, Araceli Sánchez
Oomen, Agnes G
Bos, Peter M J
MetadataShow full item record
TitleEnvironmental Risk Assessment Strategy for Nanomaterials.
Published inInt J Environ Res Public Health 2017; 14(10):E1251
PubliekssamenvattingAn 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.
- Analysis of currently available data for characterising the risk of engineered nanomaterials to the environment and human health--lessons learned from four case studies.
- Authors: Aschberger K, Micheletti C, Sokull-Klüttgen B, Christensen FM
- Issue date: 2011 Aug
- The carcinogenic potential of nanomaterials, their release from products and options for regulating them.
- Authors: Becker H, Herzberg F, Schulte A, Kolossa-Gehring M
- Issue date: 2011 Jun
- Possibilities and limitations of modeling environmental exposure to engineered nanomaterials by probabilistic material flow analysis.
- Authors: Gottschalk F, Sonderer T, Scholz RW, Nowack B
- Issue date: 2010 May
- Probabilistic environmental risk assessment of five nanomaterials (nano-TiO2, nano-Ag, nano-ZnO, CNT, and fullerenes).
- Authors: Coll C, Notter D, Gottschalk F, Sun T, Som C, Nowack B
- Issue date: 2016
- In silico analysis of nanomaterials hazard and risk.
- Authors: Cohen Y, Rallo R, Liu R, Liu HH
- Issue date: 2013 Mar 19