Simulating graphene oxide nanomaterial phototransformation and transport in surface water

Han, Yuexin; Knightes, Christopher D.; Bouchard, Dermont; Zepp, Richard G.; Avant, Brian; Hsieh, Hsin-Se; Chang, Xiaojun; Acrey, Brad; Henderson, W. Matthew; Spear, Jessica

doi:10.1039/c8en01088a

Cited by 21 publications

(20 citation statements)

References 73 publications

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“…Light attenuation is calculated for each wavelength band of UV and visible light. Han et al [ 42 ] applied WASP8 to model predicted environmental concentrations of GO and its major reaction phototransformation product reduced GO (rGO) in Brier Creek, GA.…”

Section: Exposure Models For the Prediction Of Engineered Nanomatementioning

confidence: 99%

“…Due to the complexity of heteroaggregation, the appropriate method to derive the attachment efficiency of heteroaggregation (α het ) is still challenging [ 38 , 79 , 80 ]. Nevertheless, experimental parameterization could be a promising method in determining α het [ 41 , 42 , 80 ].…”

Section: Engineered Nanomaterials (Enm) Fate Processes In Surface Wmentioning

confidence: 99%

“…William et al [ 34 ] reviewed the nano-specific processes as well as the releases, forms, and particle sizes of ENMs considered in recent aquatic fate models. Since then, significant progresses in ENM fate modeling in the aquatic environment have been made, especially in surface waters, that provide good spatial and temporal resolution with the consideration of new nano-specific processes, such as sunlight-driven photoreactions; however, these recent advances have not generally been included in existing reviews [ 41 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

“…MFAMs quantify the release of ENMs in life-cycle stages from production to waste disposal/recycling into the environment [ 47 , 48 , 49 , 50 , 51 ], while EFMs consider the mechanistic fate and transport processes (i.e., nano-specific fate processes) in the prediction of ENMs’ concentrations in or across environmental compartments (e.g., water, sediment, soil, or air) [ 52 , 53 ]. EFMs could be further classified to multimedia compartmental models (MCMs) [ 36 , 54 , 55 , 56 , 57 ] and spatial river/watershed models (SRWMs) [ 35 , 41 , 42 , 58 , 59 ]. We discuss and compare the functions and utilities of recent ENM exposure models.…”

Section: Introductionmentioning

confidence: 99%

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A Review on the Environmental Fate Models for Predicting the Distribution of Engineered Nanomaterials in Surface Waters

Suhendra

Chang

Hou

et al. 2020

IJMS

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Exposure assessment is a key component in the risk assessment of engineered nanomaterials (ENMs). While direct and quantitative measurements of ENMs in complex environmental matrices remain challenging, environmental fate models (EFMs) can be used alternatively for estimating ENMs’ distributions in the environment. This review describes and assesses the development and capability of EFMs, focusing on surface waters. Our review finds that current engineered nanomaterial (ENM) exposure models can be largely classified into three types: material flow analysis models (MFAMs), multimedia compartmental models (MCMs), and spatial river/watershed models (SRWMs). MFAMs, which is already used to derive predicted environmental concentrations (PECs), can be used to estimate the releases of ENMs as inputs to EFMs. Both MCMs and SRWMs belong to EFMs. MCMs are spatially and/or temporally averaged models, which describe ENM fate processes as intermedia transfer of well-mixed environmental compartments. SRWMs are spatiotemporally resolved models, which consider the variability in watershed and/or stream hydrology, morphology, and sediment transport of river networks. As the foundation of EFMs, we also review the existing and emerging ENM fate processes and their inclusion in recent EFMs. We find that while ENM fate processes, such as heteroaggregation and dissolution, are commonly included in current EFMs, few models consider photoreaction and sulfidation, evaluation of the relative importance of fate processes, and the fate of weathered/transformed ENMs. We conclude the review by identifying the opportunities and challenges in using EFMs for ENMs.

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Section: Exposure Models For the Prediction Of Engineered Nanomatementioning

confidence: 99%

Section: Engineered Nanomaterials (Enm) Fate Processes In Surface Wmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Review on the Environmental Fate Models for Predicting the Distribution of Engineered Nanomaterials in Surface Waters

Suhendra

Chang

Hou

et al. 2020

IJMS

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“…The objective was to provide rate constants and equations for GO reactions with ROS to provide meaningful data for modeling fate and transport of this emerging carbon-based nanomaterial in aquatic environments. 32…”

Section: Introductionmentioning

confidence: 99%

Reactivity of graphene oxide with reactive oxygen species (hydroxyl radical, singlet oxygen, and superoxide anion)

Hsieh

Zepp

2019

Environ. Sci.: Nano

Self Cite

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The Blanket Effect: How Turning the World Upside Down Reveals the Nature of Graphene Oxide Cytocompatibility

Holt

Arnold

Sydlik

2021

Adv Healthcare Materials

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Extensive cytocompatibility testing of 2D nanocarbon materials including graphene oxide (GO) has been performed, but results remain contradictory. Literature has yet to account for settling—although sedimentation is visible to the eye and physics suggests that even individual graphenic flakes will settle. To investigate settling, a series of functional graphenic materials (FGMs) with differing oxidation levels, functionalities, and physical dimensions are synthesized. Though zeta potential indicates colloidal stability, significant gravitational settling of the FGMs is theoretically and experimentally demonstrated. By creating a setup to culture cells in traditional and inverted orientations in the same well, a “blanket effect” is demonstrated in which FGMs settle out of solution and cover cells at the bottom of the well, ultimately reducing viability. Inverted cells protected from the blanket effect are unaffected. Therefore, these results demonstrate that settling is a crucial factor that must be considered for FGM cytocompatibility experiments.

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Simulating graphene oxide nanomaterial phototransformation and transport in surface water

Abstract: The production of graphene-family nanomaterials (GFNs) has increased appreciably in recent years.

Cited by 21 publications

References 73 publications

A Review on the Environmental Fate Models for Predicting the Distribution of Engineered Nanomaterials in Surface Waters

A Review on the Environmental Fate Models for Predicting the Distribution of Engineered Nanomaterials in Surface Waters

Reactivity of graphene oxide with reactive oxygen species (hydroxyl radical, singlet oxygen, and superoxide anion)

The Blanket Effect: How Turning the World Upside Down Reveals the Nature of Graphene Oxide Cytocompatibility

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