4.7 Article

Asymmetric Janus membranes based on in situ mussel-inspired chemistry for efficient oil/water separation

期刊

JOURNAL OF MEMBRANE SCIENCE
卷 573, 期 -, 页码 126-134

出版社

ELSEVIER
DOI: 10.1016/j.memsci.2018.11.063

关键词

Poly (vinylidene fluoride); In situ mussel-inspired chemistry; Janus membrane; asymmetric wettability; Oil-water separation

资金

  1. National Natural Science Foundation of China [51603214, 51475450, 51703235]

向作者/读者索取更多资源

Although Janus membranes have been fabricated for the separation of oil/water mixtures, simplifying the construction processes is still a thorny challenge. In this work, a facile and easily scale-up approach based on in situ mussel-inspired chemistry is reported for the first time to prepare the Janus membrane with unidirectional oil/water separation. Here, the poly (vinylidene fluoride)/polydopamine/polyethyleni mine (PVDF/PDA/PEI) membranes on the polyester non-woven fabric were fabricated via non-solvent induced phase separation (NIPS) technique. In the coagulation bath, the reactive oxygen species (ROS) produced by CuSO4/H2O2 improved the formation of the hydrophilic PDA/PEI on the top surface of the membrane. The hydrophobic bottom surface was received after the membrane was stripped from the supporting fabric. Scanning electronic microscopy (SEM), confocal laser scanning microscopy (CLSM), attenuated total reflectance Fourier transform infrared spectrometer (ATR-FTIR), X-ray photoelectron spectroscopy (XPS) and energy dispersive spectrometer (EDS) were used to characterize the membrane. The Janus membrane showed asymmetric wettability with 152.2 degrees underwater oil contact angle of F-T5 and 153.3 degrees underoil water contact angle of B-T5. Furthermore, by this in situ mussel-inspired chemistry, the Janus membrane showed excellent water and oil separation, antifouling performance and stability, which can potentially be used for unidirectional oil/water separation.

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