Combining exposure and effect modeling into an integrated probabilistic environmental risk assessment for nanoparticles.

scientific article published on 4 May 2016

Combining exposure and effect modeling into an integrated probabilistic environmental risk assessment for nanoparticles. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1002/ETC.3476
P698PubMed publication ID27146724

P50authorRianne JacobsQ39794147
Cajo ter BraakQ55188605
P2093author name stringDik van de Meent
Hilko van der Voet
Johannes A J Meesters
P2860cites workCoordinating modeling and experimental research of engineered nanomaterials to improve life cycle assessment studiesQ57774733
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The known unknowns of nanomaterials: Describing and characterizing uncertainty within environmental, health and safety risksQ60482155
Comprehensive probabilistic modelling of environmental emissions of engineered nanomaterialsQ60490179
Probabilistic risk assessment of agrochemicals in the environmentQ61463196
Identification and avoidance of potential artifacts and misinterpretations in nanomaterial ecotoxicity measurementsQ28384347
Integrated probabilistic risk assessment for nanoparticles: the case of nanosilica in foodQ35689702
Ecotoxicity test methods for engineered nanomaterials: practical experiences and recommendations from the bench.Q37946275
Environmental concentrations of engineered nanomaterials: review of modeling and analytical studiesQ38121685
Adapting OECD Aquatic Toxicity Tests for Use with Manufactured Nanomaterials: Key Issues and Consensus RecommendationsQ38548560
Addressing the complexity of water chemistry in environmental fate modeling for engineered nanoparticlesQ39045099
The use of Bayesian networks for nanoparticle risk forecasting: model formulation and baseline evaluation.Q39626674
Probabilistic environmental risk assessment of five nanomaterials (nano-TiO2, nano-Ag, nano-ZnO, CNT, and fullerenes).Q40337620
Parametric estimation of P(X > Y) for normal distributions in the context of probabilistic environmental risk assessmentQ40602651
The MCRA model for probabilistic single-compound and cumulative risk assessment of pesticides.Q41747939
Probabilistic cumulative risk assessment of anti-androgenic pesticides in food.Q43295971
Engineered nanomaterials in water and soils: a risk quantification based on probabilistic exposure and effect modelingQ43355043
Facing complexity through informed simplifications: a research agenda for aquatic exposure assessment of nanoparticlesQ43408842
Geographically distributed classification of surface water chemical parameters influencing fate and behavior of nanoparticles and colloid facilitated contaminant transport.Q45054177
Paradigms to assess the environmental impact of manufactured nanomaterialsQ45274759
Comparison of human health risks resulting from exposure to fungicides and mycotoxins via foodQ45840882
Exploring the uncertainties in cancer risk assessment using the integrated probabilistic risk assessment (IPRA) approachQ46440798
Assessing the potential risks to zebrafish posed by environmentally relevant copper and silver nanoparticles.Q46677014
Guidance for the prognostic risk assessment of nanomaterials in aquatic ecosystems.Q46772357
Multimedia modeling of engineered nanoparticles with SimpleBox4nano: model definition and evaluation.Q46901621
A probabilistic method for species sensitivity distributions taking into account the inherent uncertainty and variability of effects to estimate environmental riskQ47439656
Limitations of current risk characterization methods in probabilistic environmental risk assessmentQ47641872
Assessing the risks of manufactured nanomaterials.Q51147572
A model for probabilistic health impact assessment of exposure to food chemicals.Q51856112
Integration of probabilistic exposure assessment and probabilistic hazard characterization.Q51914295
Exposure Modeling of Engineered Nanoparticles in the EnvironmentQ56619610
An integrated probabilistic framework for cumulative risk assessment of common mechanism chemicals in food: an example with organophosphorus pesticidesQ57155350
Assessing the Relative Importance of Spatial Variability in Emissions Versus Landscape Properties in Fate Models for Environmental Exposure Assessment of ChemicalsQ57239303
P433issue12
P921main subjectexposure assessmentQ4008388
probabilistic modelingQ51287502
P304page(s)2958-2967
P577publication date2016-07-26
P1433published inEnvironmental Toxicology and ChemistryQ3726418
P1476titleCombining exposure and effect modeling into an integrated probabilistic environmental risk assessment for nanoparticles
P478volume35

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cites work (P2860)
Q38658065Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials
Q58828623ET&C Best Paper of 2016
Q89783452Effects of Copper Oxide Nanoparticles on the Growth of Rice (Oryza Sativa L.) Seedlings and the Relevant Physiological Responses
Q50110709Environmental fate and exposure models: advances and challenges in 21st century chemical risk assessment.
Q57199441Modeling the Fate and Transport of Plastic Debris in Freshwaters: Review and Guidance
Q92982224Toward the Development and Application of an Environmental Risk Assessment Framework for Microplastic

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