State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Surficial Geochemisty, Ministry of Education, School of Earth Sciences and Engineering, Hydrosciences Department, Nanjing University, Nanjing 210093, China.
Water Res. 2015 Jan 1;68:24-33. doi: 10.1016/j.watres.2014.09.025.
Accurately predicting the fate and transport of graphene oxide (GO) in porous media is critical to assess its environmental impact. In this work, sand column experiments were conducted to determine the effect of input concentration and grain size on transport, retention, and size perturbation of GO in saturated porous media. The mobility of GO in the sand columns reduced with decreasing grain size and almost all GO were retained in fine sand columns for all of the tested conditions. This result can be explained with colloid filtration and XDLVO theories. Input concentration also influenced the retention and transport of GO in the sand columns because of the 'blocking' mechanism that reduces the particle retention rate. After passing through the column, average GO sizes increased dramatically. In addition, the sizes of GO retained in the sand also increased with travel distance. These results suggested that transport through the porous media induced GO aggregation. A mathematical model based on the advection-dispersion equation coupled with the second-order kinetics to reflect the blocking effect simulated the experimental data well.
准确预测氧化石墨烯(GO)在多孔介质中的迁移转化规律对于评估其环境影响至关重要。本研究通过砂柱实验,考察了输入浓度和粒径对 GO 在饱和多孔介质中迁移、滞留和粒径变化的影响。实验结果表明,随着粒径的减小,GO 在砂柱中的迁移能力降低,在所有测试条件下,GO 几乎全部被截留于细砂柱中。该结果可以用胶体过滤和 DLVO 理论来解释。由于“堵塞”机制降低了颗粒的滞留率,输入浓度也会影响 GO 在砂柱中的滞留和迁移。穿过砂柱后,GO 的平均粒径显著增大。此外,随着运移距离的增加,GO 在砂中的滞留粒径也增大。这些结果表明,GO 在多孔介质中的迁移过程会诱导其聚集。基于对流-弥散方程和二级动力学的数学模型能够很好地模拟实验数据,该模型反映了堵塞效应。