Engraving Polyamide Layers by In Situ Self-Etchable CaCO3 Nanoparticles Enhances Separation Properties and Antifouling Performance of Reverse Osmosis Membranes

生物污染 反渗透 界面聚合 聚酰胺 渗透 原位聚合 纳米复合材料 化学工程 图层(电子) 材料科学 聚合 纳米技术 化学 复合材料 渗透 聚合物 工程类 生物化学 单体
作者
Li Long,Hao Guo,Lingyue Zhang,Qimao Gan,Chenyue Wu,Shenghua Zhou,Lu Elfa Peng,Chuyang Y. Tang
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:58 (14): 6435-6443 被引量:36
标识
DOI:10.1021/acs.est.4c00164
摘要

Nanovoids within a polyamide layer play an important role in the separation performance of thin-film composite (TFC) reverse osmosis (RO) membranes. To form more extensive nanovoids for enhanced performance, one commonly used method is to incorporate sacrificial nanofillers in the polyamide layer during the exothermic interfacial polymerization (IP) reaction, followed by some post-etching processes. However, these post-treatments could harm the membrane integrity, thereby leading to reduced selectivity. In this study, we applied in situ self-etchable sacrificial nanofillers by taking advantage of the strong acid and heat generated in IP. CaCO 3 nanoparticles (nCaCO 3 ) were used as the model nanofillers, which can be in situ etched by reacting with H + to leave void nanostructures behind. This reaction can further degas CO 2 nanobubbles assisted by heat in IP to form more nanovoids in the polyamide layer. These nanovoids can facilitate water transport by enlarging the effective surface filtration area of the polyamide and reducing hydraulic resistance to significantly enhance water permeance. The correlations between the nanovoid properties and membrane performance were systematically analyzed. We further demonstrate that the nCaCO 3 -tailored membrane can improve membrane antifouling propensity and rejections to boron and As(III) compared with the control. This study investigated a novel strategy of applying self-etchable gas precursors to engrave the polyamide layer for enhanced membrane performance, which provides new insights into the design and synthesis of TFC membranes.
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
一一丨一应助科研通管家采纳,获得10
刚刚
刚刚
orixero应助科研通管家采纳,获得30
刚刚
winwin发布了新的文献求助10
1秒前
1秒前
Lucas应助MBM采纳,获得10
1秒前
1秒前
1秒前
1秒前
脑洞疼应助科研通管家采纳,获得10
1秒前
1秒前
molihuakai应助科研通管家采纳,获得10
1秒前
乐乐应助科研通管家采纳,获得10
1秒前
斯文败类应助科研通管家采纳,获得10
2秒前
crazyant完成签到,获得积分20
2秒前
2秒前
CodeCraft应助科研通管家采纳,获得10
2秒前
幸福念文完成签到,获得积分10
2秒前
刘小圣完成签到,获得积分10
2秒前
科目三应助tszjw168采纳,获得10
3秒前
3秒前
3秒前
3秒前
一行琉璃完成签到,获得积分10
4秒前
4秒前
4秒前
orixero应助我爱科研采纳,获得10
4秒前
4秒前
阿楠完成签到 ,获得积分10
5秒前
5秒前
共享精神应助yyyyy采纳,获得10
5秒前
5秒前
慢吞吞发布了新的文献求助10
5秒前
小蘑菇应助爱笑愚志采纳,获得10
6秒前
开心飞烟发布了新的文献求助10
6秒前
6秒前
6秒前
大力雪曼完成签到 ,获得积分10
6秒前
mirror发布了新的文献求助10
7秒前
立夏1721完成签到 ,获得积分10
7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
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7735856
求助须知:如何正确求助?哪些是违规求助? 9285977
关于积分的说明 20174696
捐赠科研通 7314073
什么是DOI,文献DOI怎么找? 3305151
关于科研通互助平台的介绍 2457568
邀请新用户注册赠送积分活动 2314539