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      Environmental Risk Assessment Strategy for Nanomaterials

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          Abstract

          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.

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          Most cited references74

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          Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment.

          Ecological risk assessors face increasing demands to assess more chemicals, with greater speed and accuracy, and to do so using fewer resources and experimental animals. New approaches in biological and computational sciences may be able to generate mechanistic information that could help in meeting these challenges. However, to use mechanistic data to support chemical assessments, there is a need for effective translation of this information into endpoints meaningful to ecological risk-effects on survival, development, and reproduction in individual organisms and, by extension, impacts on populations. Here we discuss a framework designed for this purpose, the adverse outcome pathway (AOP). An AOP is a conceptual construct that portrays existing knowledge concerning the linkage between a direct molecular initiating event and an adverse outcome at a biological level of organization relevant to risk assessment. The practical utility of AOPs for ecological risk assessment of chemicals is illustrated using five case examples. The examples demonstrate how the AOP concept can focus toxicity testing in terms of species and endpoint selection, enhance across-chemical extrapolation, and support prediction of mixture effects. The examples also show how AOPs facilitate use of molecular or biochemical endpoints (sometimes referred to as biomarkers) for forecasting chemical impacts on individuals and populations. In the concluding sections of the paper, we discuss how AOPs can help to guide research that supports chemical risk assessments and advocate for the incorporation of this approach into a broader systems biology framework.
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            Exposure Modeling of Engineered Nanoparticles in the Environment

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              Global life cycle releases of engineered nanomaterials

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                19 October 2017
                October 2017
                : 14
                : 10
                : 1251
                Affiliations
                [1 ]Department of Bioscience, Aarhus University, Vejlsøvej 25, P.O. Box 314, 8600 Silkeborg, Denmark
                [2 ]National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA Bilthoven, The Netherlands; Willie.Peijnenburg@ 123456rivm.nl (W.J.G.M.P.); Agnes.Oomen@ 123456rivm.nl (A.G.O.); Peter.Bos@ 123456rivm.nl (P.M.J.B.)
                [3 ]Centre for Environmental Sciences, University Leiden, P.O. Box 9518, 2300 RA Leiden, The Netherlands
                [4 ]Department of Environmental Sciences, Informatics and Statistics, University Ca’ Foscari of Venice, VEGApark, Via delle Industrie 21/8, 30175 Marghera (VE), Italy; Semenzin@ 123456unive.it (E.S.); Danail.Hristozov@ 123456unive.it (D.H.); marcom@ 123456unive.it (A.M.)
                [5 ]Swiss Federal Laboratories for Material Science and Technology, EMPA, 8600 Dübendorf, Switzerland; Bernd.Nowack@ 123456empa.ch
                [6 ]The REACH Centre, Gordon Manley Building, Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK; N.Hunt@ 123456thereachcentre.com
                [7 ]Greendecision Srl., Via delle Industrie 21/8, 30175 Marghera (VE), Italy
                [8 ]Experimental Toxicology and Ecology, BASF SE, RB/TB-Z470, 67056 Ludwigshafen, Germany; muhammad-adeel.irfan@ 123456basf.com (M.-A.I.) robert.landsiedel@ 123456basf.com (R.L.)
                [9 ]Institute of Occupational Medicine, Centre for Human Exposure Science (CHES), Research Avenue North, Riccarton, Edinburgh EH14 4AP, UK; Araceli.Sanchez@ 123456iom-world.org (A.S.J.); lang.tran@ 123456iom-world.org (L.T.)
                [10 ]Fraunhofer Institute for Molecular Biology and Applied Ecology, Auf dem Aberg 1, 57392 Schmallenberg, Germany; Kerstin.Hund-Rinke@ 123456ime.fraunhofer.de
                Author notes
                [* ]Correspondence: jsf@ 123456bios.au.dk ; Tel.: +45-4025-6803
                Author information
                https://orcid.org/0000-0003-2958-9149
                https://orcid.org/0000-0001-8032-8687
                https://orcid.org/0000-0002-1569-6720
                Article
                ijerph-14-01251
                10.3390/ijerph14101251
                5664752
                29048395
                74c97e1b-2467-426a-93bf-8ac69eceec53
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 August 2017
                : 09 October 2017
                Categories
                Article

                Public health
                nanomaterials,environment,risk assessment
                Public health
                nanomaterials, environment, risk assessment

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