Developing species sensitivity distributions for metallic nanomaterials considering the characteristics of nanomaterials, experimental conditions, and different types of endpoints.

A species sensitivity distribution (SSD) for engineered nanomaterials (ENMs) ranks the tested species according to their sensitivity to a certain ENM. An SSD may be used to estimate the maximum acceptable concentrations of ENMs for the purpose of environmental risk assessment. To construct SSDs for metal-based ENMs, more than 1800 laboratory derived toxicity records of metallic ENMs from >300 publications or open access scientific reports were retrieved. SSDs were developed for the metallic ENMs grouped by surface coating, size, shape, exposure duration, light exposure, and different toxicity endpoints. It was found that PVP- and sodium citrate- coatings enhance the toxicity of Ag ENMs as concluded from the relevant SSDs. For the Ag ENMs with different size ranges, differences in behavior and/or effect were only observed at high exposure concentrations. The SSDs of Ag ENMs separated by both shape and exposure duration were all nearly identical. Crustaceans were found to be the most vulnerable group to metallic ENMs. In spite of the uncertainties of the results caused by limited data quality and availability, the present study provided novel information about building SSDs for distinguished ENMs and contributes to the further development of SSDs for metal-based ENMs.

[1]  Fadri Gottschalk,et al.  Probabilistic environmental risk assessment of five nanomaterials (nano-TiO2, nano-Ag, nano-ZnO, CNT, and fullerenes) , 2016, Nanotoxicology.

[2]  正弘 中舘 OECD (経済開発協力機構) : Organization for Economic Co-operation and Development , 1991 .

[3]  L. Gutierrez,et al.  Citrate-Coated Silver Nanoparticles Interactions with Effluent Organic Matter: Influence of Capping Agent and Solution Conditions. , 2015, Langmuir : the ACS journal of surfaces and colloids.

[4]  Brian D. Ripley,et al.  Modern Applied Statistics with S Fourth edition , 2002 .

[5]  Guangchao Chen,et al.  Dose metrics assessment for differently shaped and sized metal‐based nanoparticles , 2016, Environmental toxicology and chemistry.

[6]  Willie J.G.M. Peijnenburg,et al.  Development of nanostructure–activity relationships assisting the nanomaterial hazard categorization for risk assessment and regulatory decision-making , 2016 .

[7]  Andrey A Toropov,et al.  Optimal descriptor as a translator of eclectic information into the prediction of membrane damage by means of various TiO(2) nanoparticles. , 2013, Chemosphere.

[8]  A. Lampen,et al.  In vivo distribution of nanosilver in the rat: The role of ions and de novo-formed secondary particles. , 2016, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[9]  C. Nerín,et al.  Nanoparticle release from nano-silver antimicrobial food containers. , 2013, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[10]  David A Winkler,et al.  Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials. , 2016, Toxicology and applied pharmacology.

[11]  Guangchao Chen,et al.  Summary and Analysis of the Currently Existing Literature Data on Metal-based Nanoparticles Published for Selected Aquatic Organisms: Applicability for Toxicity Prediction by (Q)SARs , 2015, Alternatives to laboratory animals : ATLA.

[12]  G. Lowry,et al.  Towards a definition of inorganic nanoparticles from an environmental, health and safety perspective. , 2009, Nature nanotechnology.

[13]  Guidance on information requirements and chemical safety assessment , 2008 .

[14]  Ord,et al.  Guidelines for Ecological Risk Assessment , 2014 .

[15]  Fadri Gottschalk,et al.  A probabilistic method for species sensitivity distributions taking into account the inherent uncertainty and variability of effects to estimate environmental risk , 2013, Integrated environmental assessment and management.

[16]  Katre Juganson,et al.  NanoE-Tox: New and in-depth database concerning ecotoxicity of nanomaterials , 2015, Beilstein journal of nanotechnology.

[17]  N. H. Spliid,et al.  Species-specific sensitivity of aquatic macrophytes towards two herbicides. , 2004, Ecotoxicology and environmental safety.

[18]  William N. Venables,et al.  Modern Applied Statistics with S , 2010 .

[19]  M. Mortimer,et al.  Toxicity of Ag, CuO and ZnO nanoparticles to selected environmentally relevant test organisms and mammalian cells in vitro: a critical review , 2013, Archives of Toxicology.

[20]  J. Rose,et al.  Inorganic manufactured nanoparticles: how their physicochemical properties influence their biological effects in aqueous environments. , 2010, Nanomedicine.

[21]  Michael S. Strano,et al.  Size-dependent cellular uptake and expulsion of single-walled carbon nanotubes: single particle tracking and a generic uptake model for nanoparticles. , 2009, ACS nano.

[22]  Robert M Zucker,et al.  In vitro phototoxicity and hazard identification of nano-scale titanium dioxide. , 2012, Toxicology and applied pharmacology.

[23]  Arturo A. Keller,et al.  Species sensitivity distributions for engineered nanomaterials. , 2015, Environmental science & technology.

[24]  Guangchao Chen,et al.  Toxicity and accumulation of Cu and ZnO nanoparticles in Daphnia magna. , 2015, Environmental science & technology.

[25]  Kirsten Sandvig,et al.  Endocytosis and intracellular transport of nanoparticles: Present knowledge and need for future studies , 2011 .

[26]  A. Docea,et al.  Emerging aspects of nanotoxicology in health and disease: From agriculture and food sector to cancer therapeutics. , 2016, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[27]  C. Weber Methods for measuring the acute toxicity of effluents and receiving waters to freshwater and marine organisms , 1991 .

[28]  Sac-fry Stages,et al.  OECD GUIDELINE FOR TESTING OF CHEMICALS , 2002 .

[29]  Rob J Hyndman,et al.  Sample Quantiles in Statistical Packages , 1996 .

[30]  Igor V. Tetko,et al.  Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information , 2011, J. Comput. Aided Mol. Des..

[31]  Jun Liu,et al.  Phototoxicity of nano titanium dioxides in HaCaT keratinocytes--generation of reactive oxygen species and cell damage. , 2012, Toxicology and applied pharmacology.

[32]  F. Gottschalk,et al.  Engineered nanomaterials in water and soils: A risk quantification based on probabilistic exposure and effect modeling , 2013, Environmental toxicology and chemistry.