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Comparison of species sensitivity distribution modeling approaches for environmental risk assessment of nanomaterials - A case study for silver and titanium dioxide representative materials

Sorensen, S.N. and Wigger, Henning and Zabeo, A. and Semenzin, E. and Hristozov, D. and Nowack, B. and Spurgeon, D.J. and Baun, A. (2020) Comparison of species sensitivity distribution modeling approaches for environmental risk assessment of nanomaterials - A case study for silver and titanium dioxide representative materials. Aquatic Toxicology, 225, p. 105543. Elsevier. doi: 10.1016/j.aquatox.2020.105543. ISSN 0166-445X.

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Official URL: https://www.sciencedirect.com/science/article/abs/pii/S0166445X20302939#!

Abstract

Species sensitivity distributions (SSDs) are used in chemical safety assessments to derive predicted-no-effect-concentrations (PNECs) for substances with a sufficient amount of relevant and reliable ecotoxicity data available. For engineered nanomaterials (ENMs), ecotoxicity data are often compromised by poor reproducibility and the lack of nano-specific characterization needed describe an ENM under test exposure conditions. This may influence the outcome of SSD modelling and hence the regulatory decision-making. This study investigates how the outcome of SSD modelling is influenced by: 1) Selecting input data based on the nano-specific “nanoCRED” reliability criteria, 2) Direct SSD modelling avoiding extrapolation of data by including long-term/chronic NOECs only, and 3) Weighting data according to their nano-specific quality, the number of data available for each species, and the trophic level abundance in the ecosystem. Endpoints from freshwater ecotoxicity studies were collected for the representative nanomaterials NM-300 K (silver) and NM-105 (titanium dioxide), evaluated for regulatory reliability and scored according to the level of nano-specific characterization conducted. The compiled datasets are unique in exclusively dealing with representative ENMs showing minimal batch-to-batch variation. The majority of studies were evaluated as regulatory reliable, while the degree of nano-specific characterization varied greatly. The datasets for NM-300 K and NM-105 were used as input to the nano-weighted n-SSWD model, the probabilistic PSSD+, and the conventional SSD Generator by the US EPA. The conventional SSD generally yielded the most conservative, but least precise HC5 values, with 95 % confidence intervals up to 100-fold wider than the other models. The inclusion of regulatory reliable data only, had little effect on the HC5 generated by the conventional SSD and the PSSD+, whereas the n-SSWD estimated different HC5 values based on data segregated according to reliability, especially for NM-105. The n-SSWD weighting of data significantly affected the estimated HC5 values, however in different ways for the sub-datasets of NM-300 K and NM-105. For NM-300 K, the inclusion of NOECs only in the weighted n-SSWD yielded the most conservative HC5 of all datasets and models (a HC5 based on NOECs only could not be estimated for NM-105, due to limited number of data). Overall, the estimated HC5 values of all models are within a relatively limited concentration range of 25−100 ng Ag/L for NM-300 K and 1−15 μgTiO2/L for NM-105.

Item URL in elib:https://elib.dlr.de/139670/
Document Type:Article
Title:Comparison of species sensitivity distribution modeling approaches for environmental risk assessment of nanomaterials - A case study for silver and titanium dioxide representative materials
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sorensen, S.N.Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, Building 115, DK-2800 Kgs., Lyngby, DenmarkUNSPECIFIEDUNSPECIFIED
Wigger, HenningUNSPECIFIEDhttps://orcid.org/0000-0002-0610-0067UNSPECIFIED
Zabeo, A.GreenDecision, Via delle Industrie 21/8, 30175, Marghera, Venice, ItalyUNSPECIFIEDUNSPECIFIED
Semenzin, E.Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, Via delle Industrie 21/8, 30175, Marghera, Venice, ItalyUNSPECIFIEDUNSPECIFIED
Hristozov, D.GreenDecision, Via delle Industrie 21/8, 30175, Marghera, Venice, ItalyUNSPECIFIEDUNSPECIFIED
Nowack, B.Empa – Swiss Federal Laboratories for Materials Science and Technology, Technology and Society Laboratory, CH-9014, St. Gallen, SwitzerlandUNSPECIFIEDUNSPECIFIED
Spurgeon, D.J.Centre for Ecology and Hydrology, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UKUNSPECIFIEDUNSPECIFIED
Baun, A.Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, Building 115, DK-2800 Kgs., Lyngby, DenmarkUNSPECIFIEDUNSPECIFIED
Date:12 June 2020
Journal or Publication Title:Aquatic Toxicology
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:225
DOI:10.1016/j.aquatox.2020.105543
Page Range:p. 105543
Publisher:Elsevier
ISSN:0166-445X
Status:Published
Keywords:Nanoecotoxicology Regulatory reliability Data weighting Risk assessment PNEC
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment (old)
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy Systems Analysis
Deposited By: Wigger, Dr. Henning
Deposited On:16 Dec 2020 11:49
Last Modified:20 Jun 2021 15:54

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