Environmental Risk Assessment Strategy for Nanomaterials.

2.50
Hdl Handle:
http://hdl.handle.net/10029/621662
Title:
Environmental Risk Assessment Strategy for Nanomaterials.
Authors:
Scott-Fordsmand, Janeck J; Peijnenburg, Willie J G M; Semenzin, Elena; Nowack, Bernd; Hunt, Neil; Hristozov, Danail; Marcomini, Antonio; Irfan, Muhammad-Adeel; Jiménez, Araceli Sánchez; Landsiedel, Robert; Tran, Lang; Oomen, Agnes G; Bos, Peter M J; Hund-Rinke, Kerstin
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.
Citation:
Environmental Risk Assessment Strategy for Nanomaterials. 2017, 14 (10) Int J Environ Res Public Health
Journal:
Int J Environ Res Public Health 2017; 14(10):E1251
Issue Date:
19-Oct-2017
URI:
http://hdl.handle.net/10029/621662
DOI:
10.3390/ijerph14101251
PubMed ID:
29048395
Type:
Article
Language:
en
ISSN:
1660-4601
Appears in Collections:
Miscellaneous

Full metadata record

DC FieldValue Language
dc.contributor.authorScott-Fordsmand, Janeck Jen
dc.contributor.authorPeijnenburg, Willie J G Men
dc.contributor.authorSemenzin, Elenaen
dc.contributor.authorNowack, Bernden
dc.contributor.authorHunt, Neilen
dc.contributor.authorHristozov, Danailen
dc.contributor.authorMarcomini, Antonioen
dc.contributor.authorIrfan, Muhammad-Adeelen
dc.contributor.authorJiménez, Araceli Sánchezen
dc.contributor.authorLandsiedel, Roberten
dc.contributor.authorTran, Langen
dc.contributor.authorOomen, Agnes Gen
dc.contributor.authorBos, Peter M Jen
dc.contributor.authorHund-Rinke, Kerstinen
dc.date.accessioned2018-03-21T08:02:13Z-
dc.date.available2018-03-21T08:02:13Z-
dc.date.issued2017-10-19-
dc.identifier.citationEnvironmental Risk Assessment Strategy for Nanomaterials. 2017, 14 (10) Int J Environ Res Public Healthen
dc.identifier.issn1660-4601-
dc.identifier.pmid29048395-
dc.identifier.doi10.3390/ijerph14101251-
dc.identifier.urihttp://hdl.handle.net/10029/621662-
dc.description.abstractAn 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.en
dc.language.isoenen
dc.rightsArchived with thanks to International journal of environmental research and public healthen
dc.titleEnvironmental Risk Assessment Strategy for Nanomaterials.en
dc.typeArticleen
dc.identifier.journalInt J Environ Res Public Health 2017; 14(10):E1251en

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