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On-demand oil-water separation via low-voltage wettability switching of core-shell structures on copper substrates

机译:通过低压润湿性切换铜基板上的核壳结构按需进行油水分离

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A copper mesh with dendritic copper-oxide core-shell structure is prepared using an additive-free electrochemical deposition strategy for on-demand oil-water separation. Electrochemical manipulation of the oxidation state of the copper oxide shell phase results in opposite affinities towards water and oil. The copper mesh can be tuned to manifest both superhydrophobic and superoleophilic properties to enable oil-removal. Conversely, switching to superhydrophilic and underwater superoleophobic allows water-removal. These changes correspond to the application of small reduction voltages (1.5 V) and sub-sequent air drying. In the oil-removal mode, heavy oil selectively passes through the mesh while water is retained; in water-removal mode, the mesh allows water to permeate but blocks light oil. The smart membrane achieved separation efficiencies higher than 98% for a series of oil-water mixtures. The separation efficiency remains high with less than 5% variation after 30 cycles of oil-water separation in both modes. The switchable wetting mechanism is demonstrated with the aid of microstructural and electrochemical analysis and based on the well-known Cassie-Baxter and Wenzel theories. The selective removal of water or oil from the oil-water mixtures is driven solely by gravity and yields high efficiency and recyclability. The potential applications for the relevant technologies include oil spills cleanup, fuel purification, and wastewater treatment. (C) 2018 Elsevier B.V. All rights reserved.
机译:使用无添加剂电化学沉积策略制备按需油水分离的具有树枝状氧化铜核-壳结构的铜网。氧化铜壳相的氧化态的电化学操作导致对水和油的相反亲和力。可以调节铜网以表现出超疏水和超亲油特性,以实现除油。相反,改用超亲水性和水下超疏油性可以去除水。这些变化对应于较小的还原电压(<1.5 V)的施加和随后的空气干燥。在除油模式下,重油选择性地通过滤网,同时保留了水分;在除水模式下,网孔可以使水渗透,但可以阻挡轻油。对于一系列油水混合物,智能膜实现了高于98%的分离效率。两种模式下油水分离30个循环后,分离效率均保持较高的变化,变化率小于5%。借助微观结构和电化学分析并基于著名的Cassie-Baxter和Wenzel理论,证明了可切换的润湿机制。从油-水混合物中选择性除去水或油仅由重力驱动,产生了高效率和可回收性。相关技术的潜在应用包括溢油清理,燃料净化和废水处理。 (C)2018 Elsevier B.V.保留所有权利。

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