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Dik van de Meent

Researcher at Radboud University Nijmegen

Publications -  87
Citations -  7842

Dik van de Meent is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Environmental exposure & Population. The author has an hindex of 38, co-authored 87 publications receiving 6798 citations. Previous affiliations of Dik van de Meent include University of California, Berkeley & Ecologic Brands, Inc..

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Journal ArticleDOI

Fate and effects of CeO2 nanoparticles in aquatic ecotoxicity tests.

TL;DR: Toxicity could not be related to a direct effect of dissolved Ce or CeO2 NP uptake or adsorption, nor to an indirect effect of nutrient depletion (by sorption to NPs) or physical light restriction (through shading by the NPs), but observed clustering of NPs around algal cells may locally cause a direct or indirect effect.
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Is cumulative fossil energy demand a useful indicator for the environmental performance of products

TL;DR: The use of fossil fuels is an important driver of several environmental impacts and thereby indicative for many environmental problems, and the usefulness of fossil CED as a stand-alone indicator for environmental impact is limited by the large uncertainty in the product-specific fossil C ED-based impact scores.
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Cellular uptake of nanoparticles as determined by particle properties, experimental conditions, and cell type

TL;DR: It is demonstrated that uptake into nonphagocytic cells depends strongly on NP size, with an uptake optimum at an NP diameter of approximately 50 nm, and increasing surface charges, either positive or negative, have been shown to increase particle uptake in comparison with uncharged NPs.
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Building a model based on scientific consensus for Life Cycle Impact Assessment of chemicals: the search for harmony and parsimony.

TL;DR: A recent scientific consensus-building process for Life Cycle Impact Assessment (LCIA) models applied to chemical emissions is described, including the strategy, execution, and results of a process that used model comparison to achieve parsimony.