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Original Article

Quantity and quality of natural organic matter influence the ecotoxicity of titanium dioxide nanoparticles

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Pages 1415-1421 | Received 29 Mar 2016, Accepted 04 Aug 2016, Published online: 24 Aug 2016
 

Abstract

Nanoparticles’ fate is amongst other parameters determined by the quantity and quality of natural organic matter (NOM). Consequently, the ecotoxicity of nanoparticles is modified, while only little information is available on the NOM characteristics triggering this interplay. This study systematically examined how NOM quantity and quality influences the acute ecotoxicity of titanium dioxide nanoparticles (nTiO2) towards Daphnia magna. Therefore, two nTiO2 products (A-100 and P25; ∼100 nm) were investigated in combination with seven NOM types of variable quality at four levels each (up to 4.00 mg total organic carbon/L). The results showed that – independent of the applied nTiO2 product and NOM type – nTiO2 ecotoxicity decreased up to a factor of >18 with increasing NOM concentration. More importantly, increasing levels of aromaticity and hydrophobicity of the NOM decreased the magnitude of toxic effects caused by nTiO2, which was again independent of the nTiO2 product tested. In the light of the ubiquitary presence of NOM, the ecotoxicological risk of nTiO2 in surface waters with high NOM loads is likely moderate. However, interactions of nTiO2 and NOM in combination with other natural or chemical stressors are not well-understood but seem to be fundamental for a reliable risk assessment of nanoparticles.

Acknowledgements

The authors thank Therese Bürgi, Robert S. Schulz, Johanna Höger, Lilli Senn, Sandra Schneider for their support in the laboratory. Jochen Zubrod is acknowledged for providing statistical advice.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Funding

The Ministry of Science Rhineland-Palatinate (MBWJK) initially funded this study, which is part of the research group INTERNANO supported by the German Research Foundation (DFG; SCHU2271/5-2). Furthermore, we acknowledge the Fix-Stiftung, Landau for financial support of the research infrastructure.

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