Multimedia environmental fate and speciation of engineered nanoparticles: a probabilistic modeling approach

Meesters, Johannes A.J.; Quik, J.T.K.; Koelmans, Albert A.; Hendriks, A. Jan; Meent, Dik van de

doi:10.1039/c6en00081a

Cited by 66 publications

(74 citation statements)

References 74 publications

(194 reference statements)

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“…This emphasizes the need to include this process. It has been shown that because heteroaggregation captures virtually all free nanosized particles, uncertainty with respect to the exact parameterization of heteroaggregation is of minor importance [73,96,112]. The conclusions of both studies depend on the modeled scenario's and parameters' variability.…”

Section: Modeling the Transport Of Plastic Debris In The Dommel Rivermentioning

confidence: 99%

“…For emission-based regional estimates of environmental concentrations of plastic debris, mass balance, mass flow, and especially mechanistic multimedia models are adequate. Recently, for nanoparticles such models have been developed, like the SB4N model [63,72,73] and the MendNano model [106]. It is highly recommended that such mechanistic multimedia models are adapted for plastic as well.…”

Section: Comparing the Models: What Model For Whichmentioning

confidence: 99%

“…Fig. 3 Multimedia distribution of plastic debris of size 100 nm to 1 mm, between atmosphere, soil, water, and sediment on a regional scale, for the river Rhine catchment, simulated with SB4N [72,73]. Concentrations are given on the log scale.…”

Section: Multimedia Modelingmentioning

confidence: 99%

“…The model equations are commonly solved by simple matrix algebra assuming steady state, but they also can be temporally resolved. Common multimedia models for nanosized particles are MendNano [106] and SimpleBox4Nano (SB4N) [72,73]. These models calculate steady-state concentrations in the compartments atmosphere, surface water, soil, and sediment.…”

Section: Multimedia Modelingmentioning

confidence: 99%

“…Particle Type With respect to modeling natural particles in freshwater systems, different particle types can be distinguished, such as sediment [39,68,69], algae [43], microorganisms [44], particulate organic matter [70,71], nanoparticles [59,63,72,73], and seeds [74]. The properties of these materials, such as size, shape, density, porosity, fractal dimension, and attachment efficiency, influence their hydrodynamic behavior and thereby their fate [75].…”

Section: Key Processes Affecting Particle Transport In Freshwater Sysmentioning

confidence: 99%

See 4 more Smart Citations

Modeling the Fate and Transport of Plastic Debris in Freshwaters: Review and Guidance

Kooi

Besseling

Kroeze

et al. 2017

The Handbook of Environmental Chemistry

109

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Contamination with plastic debris has been recognized as one of today's major environmental quality problems. Because most of the sources are land based, concerns are increasingly focused on the freshwater and terrestrial environment. Fate and transport models for plastic debris can complement information from measurements and will play an important role in the prospective risk assessment of plastic debris. We review the present knowledge with respect to fate and transport modeling of plastic debris in freshwater catchment areas, focusing especially on nano-and microplastics. Starting with a brief overview of theory and models for nonplastic particles, we discuss plastic-specific properties, processes, and existing mass-balance-, multimedia-, and spatiotemporally explicit fate models. We find that generally many theoretical and conceptual approaches from This chapter has been externally peer reviewed.The original version of this chapter was revised. An erratum to this chapter can be found at DOI 10.1007/978-3-319-61615-5_14. models developed earlier for other types of (low density) particles apply also to plastic debris. A unique feature of plastic debris, however, is its combination of high persistence, low density, and extremely wide size distribution, ranging from the nanometer to the >cm scale. This causes the system behavior of plastic debris to show a far wider variety than most other materials or chemicals. We provide recommendations for further development of these models and implications and guidance for how fate and transport models can be used in a framework for the tiered risk assessment of plastic debris.

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Section: Modeling the Transport Of Plastic Debris In The Dommel Rivermentioning

confidence: 99%

Section: Comparing the Models: What Model For Whichmentioning

confidence: 99%

Section: Multimedia Modelingmentioning

confidence: 99%

Section: Multimedia Modelingmentioning

confidence: 99%

Section: Key Processes Affecting Particle Transport In Freshwater Sysmentioning

confidence: 99%

See 3 more Smart Citations

Modeling the Fate and Transport of Plastic Debris in Freshwaters: Review and Guidance

Kooi

Besseling

Kroeze

et al. 2017

The Handbook of Environmental Chemistry

109

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

Jacobs

Meesters

Braak

et al. 2016

Enviro Toxic and Chemistry

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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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Nanoecotoxicity assessment of graphene oxide and its relationship with humic acid

Castro

Clemente²,

Jonsson

et al. 2018

Enviro Toxic and Chemistry

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The risk assessment of nanomaterials is essential for regulatory purposes and for sustainable nanotechnological development. Although the application of graphene oxide has been widely exploited, its environmental risk is not well understood because several environmental conditions can affect its behavior and toxicity. In the present study, the graphene oxide effect from aquatic ecosystems was assessed considering the interaction with humic acid on 9 organisms: Raphidocelis subcapitata (green algae), Lemna minor (aquatic plant), Lactuca sativa (lettuce), Daphnia magna (planktonic microcrustacean), Artemia salina (brine shrimp), Chironomus sancticaroli (Chironomidae), Hydra attenuata (freshwater polyp), and Caenorhabditis elegans and Panagrolaimus sp. (nematodes). The no-observed-effect concentration (NOEC) was calculated for each organism. The different criteria used to calculate NOEC values were transformed and plotted as a log-logistic function. The hypothetical 5 to 50% hazardous concentration values were, respectively, 0.023 (0.005-0.056) and 0.10 (0.031-0.31) mg L for graphene oxide with and without humic acid, respectively. The safest scenario associated with the predicted no-effect concentration values for graphene oxide in the aquatic compartment were estimated as 20 to 100 μg L (in the absence of humic acid) and 5 to 23 μg L (in the presence of humic acid). Finally, the present approach contributed to the risk assessment of graphene oxide-based nanomaterials and the establishment of nano-regulations. Environ Toxicol Chem 2018;37:1998-2012. © 2018 SETAC.

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Multimedia environmental fate and speciation of engineered nanoparticles: a probabilistic modeling approach

Abstract: The robustness of novel multimedia fate models in environmental exposure estimation of engineered nanoparticles (ENPs) is clarified by evaluating uncertainties in the emission, physicochemical properties and natural variability in environmental systems.

Cited by 66 publications

References 74 publications

Modeling the Fate and Transport of Plastic Debris in Freshwaters: Review and Guidance

Modeling the Fate and Transport of Plastic Debris in Freshwaters: Review and Guidance

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

Nanoecotoxicity assessment of graphene oxide and its relationship with humic acid

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