A photo-Fenton graphene oxide membrane with improved perm-selectivity and self-cleaning ability for efficient dye removal under visible light irradiation

过滤(数学) 石墨烯 膜污染 结垢 废水 化学工程 光催化 选择性 化学 膜透性 材料科学 色谱法 纳米技术 环境工程 催化作用 有机化学 环境科学 生物化学 统计 数学 工程类
作者
Rengyu Yue,Tiantian Chen,Zhibin Ye,Benoît Barbeau,Md. Saifur Rahaman
出处
期刊:Journal of water process engineering [Elsevier BV]
卷期号:44: 102443-102443 被引量:10
标识
DOI:10.1016/j.jwpe.2021.102443
摘要

Reactive membranes (RMs) have attracted worldwide attention for wastewater purification and treatment due to their unique characteristics. In this study, through manipulating the band gap of graphene oxide (GO), a photo-Fenton GO membrane with enlarged inner channels, great selectivity and permeability as well as excellent self-cleaning ability was prepared for the first time via vacuum filtration. Notably, increased permeability (~130.0 L m−2·h−1 bar−1) and enhanced dye removal efficiency (≥ 99%) of the GO membrane are observed in the synergistic photo-Fenton/filtration system. Additionally, the GO membrane maintained high flux and superior rejection properties after 10 repetitions, indicating its desirable stability and anti-fouling capabilities in photo-Fenton/filtration systems. The GO membrane can also be used as a photocatalyst and shows great removal efficiency for MB (90.1%) in the photo-Fenton system. Besides, the mechanism of the self-cleaning property of the GO membrane is explored and it is found that the highly reactive •OH and •O2− species contribute to membrane anti-fouling behavior. Based on our results, the GO membrane has potential for use as a self-cleaning membrane for advanced wastewater purification.
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