Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 506799
Title Combining exposure and effect modeling into an integrated probabilistic environmental risk assessment for nanoparticles
Author(s) Jacobs, Rianne; Meesters, Johannes A.J.; Braak, Cajo J.F. ter; Meent, Dik van de; Voet, Hilko van der
Source Environmental Toxicology and Chemistry 35 (2016)12. - ISSN 0730-7268 - p. 2958 - 2967.
DOI https://doi.org/10.1002/etc.3476
Department(s) Biometris (WU MAT)
Biometris (PPO/PRI)
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) 2-dimensional Monte Carlo - Biostatistics - Hazard/risk assessment - Nanoparticle - Species sensitivity distribution - Uncertainty/variability
Abstract

There is a growing need for good environmental risk assessment of engineered nanoparticles (ENPs). Environmental risk assessment of ENPs has been hampered by lack of data and knowledge about ENPs, their environmental fate, and their toxicity. This leads to uncertainty in the risk assessment. To deal with uncertainty in the risk assessment effectively, probabilistic methods are advantageous. In the present study, the authors developed a method to model both the variability and the uncertainty in environmental risk assessment of ENPs. This method is based on the concentration ratio and the ratio of the exposure concentration to the critical effect concentration, both considered to be random. In this method, variability and uncertainty are modeled separately so as to allow the user to see which part of the total variation in the concentration ratio is attributable to uncertainty and which part is attributable to variability. The authors illustrate the use of the method with a simplified aquatic risk assessment of nano-titanium dioxide. The authors' method allows a more transparent risk assessment and can also direct further environmental and toxicological research to the areas in which it is most needed.

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