Assessing the environmental occurrence and risk of nano-silver in Hunan, China using probabilistic material flow modeling

Ding, Ran; Li, Li; Yang, Pingjian; Luo, Li; Li, Lei; Wang, Qiang

doi:10.1016/j.scitotenv.2018.12.254

Cited by 22 publications

(9 citation statements)

References 30 publications

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“…Ding et al 7 predicted the rate of AgNPs emission into the Xiangjiang River to be 0.714 t year −1 (corresponding to 2.26 × 10 −5 kg s −1 ) by using the PMFA model. In the simulated water environment system, the life process parameters of AgNPs are assumed to be first-order rate constants, and this is generally considered valid for the simulation of nanoparticles.…”

Section: Methodsmentioning

confidence: 99%

“…Our work seeks to evaluate whether a simpler fate and transport model with a coarse spatial resolution (e.g., at a spatial scale of the city) is also competent to capture the occurrence of AgNPs in the aquatic environment. To this end, we combined the unique physical and chemical properties of AgNPs and the river characteristics of the Xiangjiang River, and then formed two river models with different levels of spatial segmentation and numbers of compartments based on the research of Ding et al 7 and Praetorius et al 15 Multi-media fate and transport models were established for these two river models to simulate the migration behavior of AgNPs in the Xiangjiang River. We also discussed the inuence of spatial resolution on the modeling results.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the Xiangjiang River has become a typical area polluted by ENMs. Ding et al 7 used a probabilistic material flow analysis (PMFA) model to simulate the production of AgNPs in Hunan Province of China to be 14.85 t a −1 , and after intermediate processes such as sewage treatment plants and landfills, the content of AgNPs finally entering into each environmental medium: surface water (0.714 t a −1 ), groundwater (0.0002 t a −1 ), air (0.184 t a −1 ), and soil (0.472 t a −1 ). Most of the AgNPs entered the surface water, and they mainly came from the direct discharge of the production and use process (98.2%).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of nano-silver concentrations using multi-media fate and transport models with different spatial resolutions

Gao

Wei

et al. 2022

Environ. Sci.: Processes Impacts

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of nano-silver concentrations using multi-media fate and transport models with different spatial resolutions

Gao

Wei

et al. 2022

Environ. Sci.: Processes Impacts

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“…Local boundaries refer to single locations in a region, that is, Johannesburg City (Musee, 2011), waste water treatment plants (New York, London, and Shanghai; Lazareva & Keller, 2014), and six watersheds (Los Angeles, New York, Des Moines, Rome, London, and Zürich; Parker & Keller, 2019). Regional models comprise counties or other smaller boundaries than national ones (e.g., Australian counties, Sun et al, 2015; Chinese province, Ding et al, 2019; and seven regions defined in the European Union according to their percentage of wastewater treatment plants connected to the population, Wang & Nowack, 2018a). The category other includes any study that did not match to the proposed categories.…”

Section: Exposure In the Environmentmentioning

confidence: 99%

Exposure and Possible Risks of Engineered Nanomaterials in the Environment—Current Knowledge and Directions for the Future

Wigger

Kägi

Wiesner

et al. 2020

Reviews of Geophysics

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The consequences that engineered nanomaterials (ENMs) may cause in the environment have been under investigation for more than 15 years. Hundreds of millions of euros/dollars have been invested into safety issues of ENMs, and much progress has been made in the understanding of their fate and effects in the environment. After an initial phase of "observing the effects," research has shifted toward elucidating the mechanisms of fate and ecotoxicological effects. This also included a stronger focus on exposure issues and the development of analytical methods and computational models to predict exposure. First environmental risk assessments for ENM were performed, and much progress has been achieved on the way to nanospecific and material-specific assessments. The release of ENM from products and their transformation in technical and natural compartments profoundly affect the form in which the ENMs are present in the environment. A crucial aspect in all areas is if there are truly nanospecific issues of the novel-added functionalities of ENM that are different from dissolved metals, larger particles, or natural particles. This review outlines progress in understanding the environmental dimensions of ENMs and areas that merit further investigation: To what extent are ENMs different from their natural counterparts and how "long" do we need to track them in natural and technical systems? A major challenge will be in developing methods for studying particle-mediated processes and their effects on ecosystems and organisms in a more general sense, going beyond just ENM, for example, to natural nanoparticles, microplastics, and extracellular vesicles. Plain Language Summary The consequences that engineered nanomaterials may cause in the environment have been under investigation for more than 15 years, and hundreds of millions of euros/dollars have been invested into their safety issues. After an initial phase of "observing the effects," research has shifted toward elucidating the mechanisms of fate and ecotoxicological effects. This review outlines the progress in understanding the environmental dimensions of nanomaterials and areas that merit further investigation: The release of engineered nanomaterials from products and their transformation in technical and natural compartments profoundly affect the form in which they are present in the environment. To what extent are engineered nanomaterials different from their natural counterparts and how "long" and in what form do we need to track them in natural and technical systems? A major challenge will be in developing methods for studying particle-mediated processes and their effects on ecosystems and organisms in a more general sense, going beyond engineered nanomaterials, for example, to natural nanoparticles, microplastics, and extracellular vesicles. A crucial aspect in all areas is if there are truly nanospecific issues of the novel-added functionalities of engineered nanomaterials that are different from dissolved metals, larger particles, or natural particles.

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“…Material flow analysis (MFA) is an environmental exposure modeling tool used to quantify material flows through the technosphere and their release into the environment . A range of different MFA models has been used estimate the release of several ENMs into the environment for different geographic regions and with various levels of details, using both static − and dynamic , models. To date, most MFA models for ENMs have only considered a generic ENM ; i.e., they lumped of different nanoforms of the material together.…”

Section: Introductionmentioning

confidence: 99%

Size-Specific, Dynamic, Probabilistic Material Flow Analysis of Titanium Dioxide Releases into the Environment

Zheng

Nowack

2021

Environ. Sci. Technol.

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Most of the existing exposure models for engineered nanomaterials (ENMs) do not consider particle size, crystalline forms, and coating materials that all may influence the material’s fate, transport, and toxicity. Our work aimed to incorporate particle size distributions into a material flow analysis (MFA) to develop a size-specific, dynamic, probabilistic MFA model (ss-DPMFA). Using titanium dioxide (TiO2) as a first case study, we aimed to determine the contribution of conventional TiO2 pigments to the total amount of nanoscale TiO2 released into the environment. Besides providing information on mass flows, the new model used particle size distributions and crystalline forms to describe the stocks and flows of TiO2. The most striking modeling result to emerge was that before TiO2 ENMs came onto the market as such in 2000, 22,400 tons of nanosized (<100 nm) TiO2 particles had already been released into the environment, originating from conventional TiO2 pigments. Even in 2016, 50% of the nanosized TiO2 particles released into wastewater came from the nanosized fraction of TiO2 particles in pigments. Quantitative data on the particle size distribution of TiO2 particles released into the environment can be used as input for environmental fate models. Our new ss-DPMFA model’s additional insights about crystalline forms and coatings could pave the way for advanced size- and form-specific hazard and risk assessments for other nanomaterials in ecological systems.

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Assessing the environmental occurrence and risk of nano-silver in Hunan, China using probabilistic material flow modeling

Cited by 22 publications

References 30 publications

Evaluation of nano-silver concentrations using multi-media fate and transport models with different spatial resolutions

Evaluation of nano-silver concentrations using multi-media fate and transport models with different spatial resolutions

Exposure and Possible Risks of Engineered Nanomaterials in the Environment—Current Knowledge and Directions for the Future

Size-Specific, Dynamic, Probabilistic Material Flow Analysis of Titanium Dioxide Releases into the Environment

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