Visualization of graphene oxide transport in two-dimensional homogeneous and heterogeneous porous media

被引:23
|
作者
Dong, Shunan [1 ]
Gao, Bin [2 ]
Sun, Yuanyuan [1 ]
Guo, Hongyan [3 ]
Wu, Jianfeng [1 ]
Cao, Shaohua [1 ]
Wu, Jichun [1 ]
机构
[1] Nanjing Univ, Key Lab Surficial Geochem, Minist Educ, Sch Earth Sci & Engn,Hydrosci Dept, Nanjing 210023, Jiangsu, Peoples R China
[2] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA
[3] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource Reuse, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Graphene oxide; Transport; Two-dimensional; Porous media; Visualization; INHIBITED TRANSPORT; INPUT CONCENTRATION; IRON NANOPARTICLES; SOLUTION CHEMISTRY; CARBON NANOTUBES; GRAIN-SIZE; RETENTION; DEPOSITION; NANOMATERIALS; GROWTH;
D O I
10.1016/j.jhazmat.2019.02.042
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Graphene oxide (GO) has been indicated to be biotoxic and risky in environment, its environmental behavior thus has received increasing attention in recent. In this study, homogeneous and heterogeneous sand tanks were used to examine the transport behaviors of GO nanoparticles in two-dimensional (2-D) porous media under various conditions. Light transmission visualization (LTV) technology was applied to visualize the real-time transport, retention, and release of GO. GO transport in 2-D porous media was simulated with a simplified Double Monod model. GO mobility decreased with the increasing solution ionic strength (IS) and decreasing media grain size. Preferential flow played an important role in GO transport in 2-D heterogeneous porous media. Even without vertical flow in the sand tanks, GO still spread vertically through dispersion, suggesting the importance of the dispersion process to nanoparticle fate and transport in 2-D porous media. LTV images and breakthrough curves showed that some of the previous retained GO particles were instantaneously remobilized with IS decreasing. With the consideration of the vertical dispersion, simulations of the Double Monod model matched the experimental data well. Findings from this work contribute to expand current knowledge of environmental fate and transport of GO, leading to better assessment and prediction of its environmental risks.
引用
收藏
页码:334 / 341
页数:8
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