Transport properties of graphene oxide nanofiltration membranes: Electrokinetic modeling and experimental validation
Transport properties of graphene oxide nanofiltration membranes: Electrokinetic modeling and experimental validation
复制标题
氧化石墨烯纳滤膜的传输特性：电动建模和实验验证
DOI：
10.1002/aic.17865
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发表时间：
2022
期刊：
影响因子：
3.7
通讯作者：
Nair, Sankar
中科院分区：
文献类型：
--
作者：
Wang, Zhongzhen;Xu, Chunyan;Fu, Qiang;Nair, Sankar
需要开发用于氧化石墨烯（GO）膜中的水和溶质传输的可靠模型，以推进其新兴的工业水处理应用。在这个方向上，我们基于扩展的能斯特-普朗克输运方程、唐南平衡条件和溶质吸附模型，在宽的溶质浓度范围（0.01-0.5 M）和组成内开发了GO和还原GO（rGO）膜的预测输运模型。通过拟合水和一元（单组分）水溶液的实验渗透数据获得一些模型参数。通过预测二元溶液中的实验渗透行为，显示出非常不同的特性，该模型得到了验证。作为膜设计参数（孔径和膜电荷密度）的函数的盐截留率的灵敏度分析允许我们推断设计目标以实现高盐截留率。这些模型将有助于加速GO膜的结构-分离性能关系以及分离工艺设计和优化。
There is a need for developing reliable models for water and solute transport in graphene oxide (GO) membranes for advancing their emerging industrial water processing applications. In this direction, we develop predictive transport models for GO and reduced‐GO (rGO) membranes over a wide solute concentration range (0.01–0.5 M) and compositions, based on the extended Nernst–Planck transport equations, Donnan equilibrium condition, and solute adsorption models. Some model parameters are obtained by fitting experimental permeation data for water and unary (single‐component) aqueous solutions. The model is validated by predicting experimental permeation behavior in binary solutions, which display very different characteristics. Sensitivity analysis of salt rejections as a function of membrane design parameters (pore size and membrane charge density) allows us to infer design targets to achieve high salt rejections. Such models will be useful in accelerating structure‐separation property relationships of GO membranes and for separation process design and optimization.