scholarly article | Q13442814 |
P356 | DOI | 10.1002/ETC.3476 |
P698 | PubMed publication ID | 27146724 |
P50 | author | Rianne Jacobs | Q39794147 |
Cajo ter Braak | Q55188605 | ||
P2093 | author name string | Dik van de Meent | |
Hilko van der Voet | |||
Johannes A J Meesters | |||
P2860 | cites work | Coordinating modeling and experimental research of engineered nanomaterials to improve life cycle assessment studies | Q57774733 |
Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements | Q58822172 | ||
A semi-quantitative model for risk appreciation and risk weighing | Q59647624 | ||
The known unknowns of nanomaterials: Describing and characterizing uncertainty within environmental, health and safety risks | Q60482155 | ||
Comprehensive probabilistic modelling of environmental emissions of engineered nanomaterials | Q60490179 | ||
Probabilistic risk assessment of agrochemicals in the environment | Q61463196 | ||
Identification and avoidance of potential artifacts and misinterpretations in nanomaterial ecotoxicity measurements | Q28384347 | ||
Integrated probabilistic risk assessment for nanoparticles: the case of nanosilica in food | Q35689702 | ||
Ecotoxicity test methods for engineered nanomaterials: practical experiences and recommendations from the bench. | Q37946275 | ||
Environmental concentrations of engineered nanomaterials: review of modeling and analytical studies | Q38121685 | ||
Adapting OECD Aquatic Toxicity Tests for Use with Manufactured Nanomaterials: Key Issues and Consensus Recommendations | Q38548560 | ||
Addressing the complexity of water chemistry in environmental fate modeling for engineered nanoparticles | Q39045099 | ||
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 assessment | Q40602651 | ||
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 modeling | Q43355043 | ||
Facing complexity through informed simplifications: a research agenda for aquatic exposure assessment of nanoparticles | Q43408842 | ||
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 nanomaterials | Q45274759 | ||
Comparison of human health risks resulting from exposure to fungicides and mycotoxins via food | Q45840882 | ||
Exploring the uncertainties in cancer risk assessment using the integrated probabilistic risk assessment (IPRA) approach | Q46440798 | ||
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 risk | Q47439656 | ||
Limitations of current risk characterization methods in probabilistic environmental risk assessment | Q47641872 | ||
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 Environment | Q56619610 | ||
An integrated probabilistic framework for cumulative risk assessment of common mechanism chemicals in food: an example with organophosphorus pesticides | Q57155350 | ||
Assessing the Relative Importance of Spatial Variability in Emissions Versus Landscape Properties in Fate Models for Environmental Exposure Assessment of Chemicals | Q57239303 | ||
P433 | issue | 12 | |
P921 | main subject | exposure assessment | Q4008388 |
probabilistic modeling | Q51287502 | ||
P304 | page(s) | 2958-2967 | |
P577 | publication date | 2016-07-26 | |
P1433 | published in | Environmental Toxicology and Chemistry | Q3726418 |
P1476 | title | Combining exposure and effect modeling into an integrated probabilistic environmental risk assessment for nanoparticles | |
P478 | volume | 35 |
Q38658065 | Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials |
Q58828623 | ET&C Best Paper of 2016 |
Q89783452 | Effects of Copper Oxide Nanoparticles on the Growth of Rice (Oryza Sativa L.) Seedlings and the Relevant Physiological Responses |
Q50110709 | Environmental fate and exposure models: advances and challenges in 21st century chemical risk assessment. |
Q57199441 | Modeling the Fate and Transport of Plastic Debris in Freshwaters: Review and Guidance |
Q92982224 | Toward the Development and Application of an Environmental Risk Assessment Framework for Microplastic |
Search more.