Abstract Graphene oxide based nanofiltration membranes (GONMs) have attracted tremendous attention for water purification applications given their excellent mechanical properties and tunable inter-layer distance spacing (D-spacing). However, the desalination performance is significantly degraded in the pressure-driven filtration. In this work, we find that the pressure-driven water desalination properties are nanochannel spacing and length dependent, in which the cation-π interaction possibly plays a critical factor in the desalination procedure. Through the demonstration of surface weak-reduction and membrane thickness tuning, the D-spacing and molecule transport route length of GONMs are identified to affect the quality and quantity of cation-π interaction, respectively, which are innovatively regulated by the intercalation of nano-sized lattices into large GO sheets. As a result, the regulated membrane improves the rejection rates of MgCl2, NaCl, MgSO4 and Na2SO4 up to 41.10%, 64.14%, 84.62% and 93.19%, respectively, compared to unregulated counterparts of 13.72%, 15.93%, 34.58% and 40.99%, respectively. In addition, the regulated membrane also exhibits excellent removal efficiency of >93% against tested dyes with different molecular weight and surface charge properties. We consider that our approach could lead to the development of a powerful GONMs based platform for future water treatment.

中文翻译：

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纳米晶格嵌入微米级氧化石墨烯片以提高压力驱动的脱盐性能

摘要 基于氧化石墨烯的纳滤膜 (GONMs) 因其优异的机械性能和可调的层间距 (D-spacing) 在水净化应用中引起了极大的关注。然而，在压力驱动过滤中，脱盐性能显着下降。在这项工作中，我们发现压力驱动的水淡化特性与纳米通道间距和长度有关，其中阳离子-π 相互作用可能在淡化过程中起关键作用。通过表面弱还原和膜厚度调整的演示，确定了 GONM 的 D 间距和分子传输路线长度分别影响阳离子-π 相互作用的质量和数量，通过将纳米尺寸的晶格嵌入到大的 GO 片中来创新地调节它们。因此，调节膜将 MgCl2、NaCl、MgSO4 和 Na2SO4 的截留率分别提高了 41.10%、64.14%、84.62% 和 93.19%，而未调节的膜分别为 13.72%、15.93%、34.589% 和 34.58% ％， 分别。此外，经过调节的膜对具有不同分子量和表面电荷特性的测试染料也表现出 >93% 的出色去除效率。我们认为我们的方法可以为未来的水处理开发一个强大的基于 GONM 的平台。分别为 15.93%、34.58% 和 40.99%。此外，经过调节的膜对具有不同分子量和表面电荷特性的测试染料也表现出 >93% 的出色去除效率。我们认为我们的方法可以为未来的水处理开发一个强大的基于 GONM 的平台。分别为 15.93%、34.58% 和 40.99%。此外，经过调节的膜对具有不同分子量和表面电荷特性的测试染料也表现出 >93% 的出色去除效率。我们认为我们的方法可以为未来的水处理开发一个强大的基于 GONM 的平台。