Volume 34, Issue 11 p. 2644-2659
Hazard/Risk Assessment

Species sensitivity weighted distribution for ecological risk assessment of engineered nanomaterials: The n-TiO2 case study

Elena Semenzin

Elena Semenzin

Department of Environmental Sciences, Informatics, and Statistics, University Ca' Foscari Venice, Venice, Italy

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Elisa Lanzellotto

Elisa Lanzellotto

Department of Environmental Sciences, Informatics, and Statistics, University Ca' Foscari Venice, Venice, Italy

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Danail Hristozov

Danail Hristozov

Department of Environmental Sciences, Informatics, and Statistics, University Ca' Foscari Venice, Venice, Italy

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Andrea Critto

Andrea Critto

Department of Environmental Sciences, Informatics, and Statistics, University Ca' Foscari Venice, Venice, Italy

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Alex Zabeo

Alex Zabeo

Department of Environmental Sciences, Informatics, and Statistics, University Ca' Foscari Venice, Venice, Italy

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Elisa Giubilato

Elisa Giubilato

Department of Environmental Sciences, Informatics, and Statistics, University Ca' Foscari Venice, Venice, Italy

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Antonio Marcomini

Corresponding Author

Antonio Marcomini

Department of Environmental Sciences, Informatics, and Statistics, University Ca' Foscari Venice, Venice, Italy

Address correspondence to [email protected].

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First published: 08 June 2015
Citations: 39

Abstract

Societal concerns about the environmental risks of engineered nanomaterials (ENMs) have recently increased, but nano-ecological risk assessments are constrained by significant gaps in basic information on long-term effects and exposures, for example. An approach to the ecological risk assessment of ENMs is proposed that can operate in the context of high uncertainty. This approach further develops species sensitivity weighted distribution (SSWD) by including 3 weighting criteria (species relevance, trophic level abundance, and nanotoxicity data quality) to address nano-specific needs (n-SSWD). The application of n-SSWD is illustrated for nanoscale titanium dioxide (n-TiO2), which is available in different crystal forms; it was selected because of its widespread use in consumer products (e.g., cosmetics) and the ample availability of data from ecotoxicological studies in the literature (including endpoints for algae, invertebrates, bacteria, and vertebrates in freshwater, saltwater, and terrestrial compartments). The n-SSWD application resulted in estimation of environmental quality criteria (hazard concentration affecting 5% and 50% of the species) and ecological risk (potentially affected fraction of species), which were then compared with similar results obtained by applying the traditional species sensitivity distribution (SSD) approach to the same dataset. The n-SSWDs were also built for specific trophic levels (e.g., primary producers) and taxonomic groups (e.g., algae), which helped to identify the most sensitive organisms. These results showd that n-SSWD is a valuable risk tool, although further testing is suggested. Environ Toxicol Chem 2015;34:2644–2659. © 2015 SETAC