Self assembled PP membrane with photocatalytic self-cleaning performance for efficient oil/water emulsion separation

材料科学 化学工程 乳状液 光催化 渗透 膜污染 吸附 膜技术 结垢 色谱法 化学 有机化学 催化作用 生物化学 工程类
作者
Xiaoyang Han,Wen‐Xiao Ma,Haoran Zhang,Gui‐E Chen,Yong Shi,Zhen‐Liang Xu
出处
期刊:Colloids and Surfaces A: Physicochemical and Engineering Aspects [Elsevier BV]
卷期号:669: 131383-131383 被引量:13
标识
DOI:10.1016/j.colsurfa.2023.131383
摘要

In this study, a super-hydrophobic self-cleaning fluorinated Zr-MOF nano-hybrid membrane (TF-DUT-52/PP) was developed by in-situ growth of modified MOF onto polypropylene membrane. DUT-52 is a new zirconium-based MOF with face-centered cubic topology and bearing stiffness. The hydrophobic group—trifluoroacetamide group is introduced into its monomer, which makes the final prepared membrane have excellent high porosity, durability and superhydrophobicity, and is an attractive oil-water separation membrane. The separation efficiency of the membrane for three different oil-water emulsion is more than 98%, and the separation flux is also very high (more than 500 Lm-2h-1bar-1). In addition, due to the Zr metal on the TF-DUT-52 node on the membrane surface, the membrane has good photocatalytic self-cleaning performance. Under ultraviolet light irradiation, it has high photocatalytic activity for organic pollutants on the membrane surface (the degradation efficiency is more than 85%). Therefore, in the foreseeable future, TF-DUT-52/PP membrane, as an anti-fouling membrane of a new generation of super hydrophobic/super lipophilic materials, has high throughput and stability, and provides a new idea for the removal of oily wastewater.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
加贝发布了新的文献求助10
刚刚
刚刚
李大雨发布了新的文献求助10
刚刚
1秒前
陈化十发布了新的文献求助10
1秒前
zhou发布了新的文献求助10
1秒前
liu123发布了新的文献求助10
2秒前
Hello应助苦逼的科研汪采纳,获得10
2秒前
大南方完成签到,获得积分10
2秒前
初景应助纯真忆安采纳,获得20
3秒前
科研通AI6.4应助pengzh采纳,获得10
3秒前
4秒前
4秒前
研友_rLmNXn发布了新的文献求助200
4秒前
5秒前
江宜发布了新的文献求助10
5秒前
crazy完成签到 ,获得积分10
5秒前
Jon完成签到,获得积分10
6秒前
6秒前
张开心应助long采纳,获得10
6秒前
bkagyin应助眯眯眼的凡霜采纳,获得10
6秒前
共享精神应助橘子采纳,获得10
6秒前
7秒前
瘦瘦怀寒完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
情怀应助quanZhang采纳,获得10
9秒前
娅娃儿完成签到 ,获得积分10
9秒前
9秒前
早日毕业发布了新的文献求助10
9秒前
10秒前
10秒前
共享精神应助李大雨采纳,获得10
10秒前
11秒前
我不理解发布了新的文献求助10
11秒前
Moonlight完成签到,获得积分10
13秒前
科研通AI6.2应助sunxs采纳,获得10
13秒前
情怀应助ponny2001采纳,获得10
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7636827
求助须知:如何正确求助?哪些是违规求助? 9210630
关于积分的说明 19756417
捐赠科研通 7204369
什么是DOI,文献DOI怎么找? 3275551
关于科研通互助平台的介绍 2437291
邀请新用户注册赠送积分活动 2272685