膜
润湿
膜蒸馏
石墨烯
海水淡化
材料科学
化学工程
氧化物
肺表面活性物质
复合数
纳米技术
化学
复合材料
生物化学
工程类
冶金
作者
Chuqing Cao,Fengnan Liu,Fangqing Li,Onyeagoro Robinson Uzochukwu,Lin Chen
出处
期刊:Desalination
[Elsevier]
日期:2023-12-26
卷期号:574: 117263-117263
被引量:4
标识
DOI:10.1016/j.desal.2023.117263
摘要
Membrane distillation (MD) is a promising desalination technology that combines traditional distillation processes with membrane separation technology, but when the feed solution contains amphiphilic substances such as surfactant, the hydrophobic membrane is prone to being wetting, which hinders its widespread application. In this study, a novel Janus membrane was developed by embedding Zr-MOF and silver nanowires into the modified graphene oxide composite membrane to improve its separation performance, and the effect of high-concentration SDS on the membrane performance was studied. The experimental results showed that the conductive membrane exhibited excellent performance when powered on for 5 min every 2.5 h under 2 V voltage. The flux stabilized at 19.6 L/(m2h) with a desalination rate up to 99.9 % and no obvious signs of membrane wetting. It was found that the effect of electric field caused a negative charge on the membrane surface, forming a charge repulsion force with the SDS. Simultaneously, intermittent electrical flotation can effectively remove SDS that has accumulated on the membrane surface, thus achieving efficient and stable operation of MD system. Moreover, a machine learning approach with Catboost was applied to predict and unveil the complex effects on membrane performance, providing a deep insight to treat wastewater containing surfactant.
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