Permselectivity limits of biomimetic desalination membranes.
Permselectivity limits of biomimetic desalination membranes.
复制标题
DOI：
10.1126/sciadv.aar8266
复制
发表时间：
2018-06
期刊：
影响因子：
13.6
通讯作者：
Elimelech M
中科院分区：
文献类型：
--
作者：
Werber JR;Elimelech M
仿生脱盐膜可以实现对水的超选择性超过离子，但不能超过中性溶质。水资源短缺和膜的选择性不足已经引起了人们对仿生脱盐膜的兴趣，在仿生脱盐膜中，生物或合成的水通道被并入两亲性双层中。由于足够的水渗透性需要低的通道密度（0.1至10%），因此两亲性双层基质将在分离性能中起关键作用。我们通过研究水、中性溶质和离子通过脂质和嵌段共聚物囊泡的双层的运输行为，并预测不同水通道密度的性能，来确定仿生膜的选择性极限。我们报告说，无缺陷的仿生膜的水/盐渗透选择性比目前的脱盐膜大108倍。相反，脂质和嵌段共聚物双层的基于溶解度的渗透性（扩展奥弗顿规则）将导致疏水溶质的差的排斥。无缺陷的仿生膜在海水淡化和超纯水生产方面具有巨大的潜力，但在废水回用方面表现不佳。讨论了限制中性溶质渗透的潜在策略。
Biomimetic desalination membranes could achieve ultraselectivity for water over ions, but not over neutral solutes. Water scarcity and inadequate membrane selectivity have spurred interest in biomimetic desalination membranes, in which biological or synthetic water channels are incorporated in an amphiphilic bilayer. As low channel densities (0.1 to 10%) are required for sufficient water permeability, the amphiphilic bilayer matrix will play a critical role in separation performance. We determine selectivity limits for biomimetic membranes by studying the transport behavior of water, neutral solutes, and ions through the bilayers of lipid and block-copolymer vesicles and projecting performance for varying water channel densities. We report that defect-free biomimetic membranes would have water/salt permselectivities ~108-fold greater than current desalination membranes. In contrast, the solubility-based permeability of lipid and block-copolymer bilayers (extending Overton’s rule) will result in poor rejection of hydrophobic solutes. Defect-free biomimetic membranes thus offer great potential for seawater desalination and ultrapure water production, but would perform poorly in wastewater reuse. Potential strategies to limit neutral solute permeation are discussed.
登录
查看更多内容
影响因子：
9.5
作者：
Hyung, Hoon;Kim, Jae-Hong
通讯作者：
Kim, Jae-Hong
影响因子：
14.9
作者：
Kim S;Thiessen PA;Bolton EE;Chen J;Fu G;Gindulyte A;Han L;He J;He S;Shoemaker BA;Wang J;Yu B;Zhang J;Bryant SH
通讯作者：
Bryant SH
影响因子：
7.2
作者：
Gerbeau, P;Güclü, J;Maurel, C
通讯作者：
Maurel, C
影响因子：
56.9
作者：
Discher, BM;Won, YY;Hammer, DA
通讯作者：
Hammer, DA
影响因子：
13.6
作者：
Horner A;Zocher F;Preiner J;Ollinger N;Siligan C;Akimov SA;Pohl P
通讯作者：
Pohl P