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恢复力更强的聚酯膜助力高性能反渗透海水淡化
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恢复力更强的聚酯膜助力高性能反渗透海水淡化 ▲ 作者：YUJIAN YAO, PINGXIA ZHANG, FEI SUN, WEN ZHANG, MENG LI, GANG SHA, ET AL. ▲ 链接： https://www.science.org/doi/10.1126/science.adk0632 ▲ 摘要： 近半个世纪以来，薄膜复合反渗透膜一直是海水淡化和水净化的黄金标准技术。聚酰胺膜具有优异的透水性和拒盐性，但也有耐氯性差、结垢倾向高和拒硼率低的缺点。 研究组通过分子设计聚酯膜复合反渗透膜来解决这些问题，使用共溶剂辅助界面聚合法使3,5-二羟基-4-甲基苯甲酸与均苯三甲酰氯反应。这种聚酯膜具有优异的透水性，对氯化钠和硼高截留，以及完全耐氯。 与聚酰胺膜相比，该膜的超光滑、低能量表面还可防止污垢和矿物结垢。通过进一步优化水盐选择性，该膜有望超越聚酰胺膜，为大大减少海水淡化的预处理步骤提供新途径。 ▲ Abstract： Thin-film composite reverse osmosis membranes have remained the gold standard technology for desalination and water purification for nearly half a century. Polyamide films offer excellent water permeability and salt rejection but also suffer from poor chlorine resistance, high fouling propensity, and low boron rejection. We addressed these issues by molecularly designing a polyester thin-film composite reverse osmosis membrane using co-solvent–assisted interfacial polymerization to react 3,5-dihydroxy-4-methylbenzoic acid with trimesoyl chloride. This polyester membrane exhibits substantial water permeability, high rejection for sodium chloride and boron, and complete resistance toward chlorine. The ultrasmooth, low-energy surface of the membrane also prevents fouling and mineral scaling compared with polyamide membranes. These membranes could increasingly challenge polyamide membranes by further optimizing water-salt selectivity, offering a path to considerably reducing pretreatment steps in desalination. 人工智能Artificial Intelligence Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing |
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