纳滤
石墨烯
氧化物
渗透
水溶液
材料科学
亚甲蓝
纳米技术
乙二醇
单体
化学工程
化学
高分子化学
膜
聚合物
有机化学
工程类
催化作用
光催化
生物化学
作者
Hannah Faye M. Austria,Januar Widakdo,Owen Setiawan,T.M. Subrahmanya,Wei‐Song Hung,Chih‐Feng Wang,Chien‐Chieh Hu,Kueir‐Rarn Lee,Juin‐Yih Lai
标识
DOI:10.1016/j.jclepro.2023.136280
摘要
Graphene oxide (GO), a material that is proven to have favorable attributes in different applications is continuously being researched and employed in membrane-based separations including nanofiltration, but challenges including instability in an aqueous environment, resulting in redispersion and swelling, as well as the difficulty in controlling the ion transport are still matters for concern. In this research, we addressed these problems by covalently crosslinking GO with different monomers of the same chain lengths, including ethylenediamine (EDA), ethylene glycol (EGL), and oxalic acid (OXA) to tailor specific crosslinking site, in able to subsequently improve the stability of the membranes while tuning the d-spacing for controllable transport of ions and molecules. These membranes produced via pressure-assisted filtration were subjected to physicochemical investigations where it revealed that surface properties including hydrophilicity and charge, as well as the membrane free volume were altered and each played a crucial role in their separation performance. The nature of the crosslinker dictated the site where crosslinking happened (GO's edges or basal planes) and influenced the passage of species, especially the fast water permeation. The membrane crosslinked with OXA has displayed an excellent pure water permeability that could reach up to ∼39.6 L m−2 h−1 at a pressure of 6 bar, a rejection for Na2SO4 of around 93%, and rejection of organic dyes, methylene blue and methyl orange of >99%. Moreover, the membranes were observed to have a stable performance in various operating conditions and exhibited an outstanding antifouling property and chlorine resistance that are essential qualities needed for desalination in realistic conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI