4.7 Article

CO2-responsive membranes prepared by selective swelling of block copolymers and their behaviors in protein ultrafiltration

期刊

JOURNAL OF MEMBRANE SCIENCE
卷 641, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.memsci.2021.119928

关键词

CO2 switchability; Block copolymer; Selective swelling; Protein ultrafiltration; Responsive membranes

资金

  1. National Natural Science Foundations of China [21908095]
  2. Natural Science Foundation of Jiangsu Province [BK20190671]

向作者/读者索取更多资源

By utilizing a selective swelling-induced pore generation strategy, CO2-responsive nanoporous membranes have been developed with the ability to reversibly adjust pore size under the stimulation of CO2/N-2, exhibiting excellent separation performance.
Due to the predominance of CO2 as a new trigger with source abundance, non-toxicity, good reversibility and no byproduct accumulation compared to other triggers, CO2-responsive membranes recently attract wide interest in stimuli-switchable separation. Here we report on the development of CO2-responsive nanoporous membranes with poly(2-dimethylaminoethyl methacrylate)-block-polystyrene (PDMAEMA-b-PS) block polymer (BCP) under the instruction of selective swelling-induced pore generation strategy, where hydrophilic chains of PDMAEMA can be enriched on the membrane surface and pore walls in the swelling process. The tertiary amine of PDMAEMA can be reversibly switched in conformation and charge property under the stimulation of CO2/N-2. The CO(2)(-)responsive behavior of PDMAEMA enriched on the surface and pore walls has further enabled as-prepared membranes to feature the tunable pore size by introducing and removing CO2 gas. As a result, the PDMAEMA-b-PS nanoporous membranes exhibit excellent regulation in separation performances in terms of the permeance and rejection to varied proteins under the stimulation of CO2/N-2. This work represents a simple and reliable way for making CO2-responsive membranes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据