Advances in MOF membrane strategies for selective lithium extraction from salt lake brine

Yuting Wang , Bin Yan , Jiaying Liu , Runkai Wang , Pinhua Rao , Yang Liu
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Abstract

Metal-organic framework (MOF) membranes have emerged as a promising solution for lithium extraction from salt lake brines due to their tunable pore structures and high specific surface areas. Their exceptional selectivity for Li+, combined with efficient extraction and robust performance in complex ionic environments, positions MOF membranes as a key technology for low-concentration lithium extraction. However, meeting industrial-scale demands requires not only enhancing membrane selectivity and permeability, but also addressing long-term stability and reusability under harsh conditions. This review provides a comprehensive overview of recent advances in MOF-based membrane materials for Li+ extraction, focusing on both inorganic and organic substrate-supported configurations. Strategic approaches in structural design such as the selection of metal nodes, ligand modification, and encapsulation of active molecules, and growth control techniques to achieve precise pore architectures are discussed. Furthermore, methods for enhancing membrane robustness through multilayer and composite structures to improve antifouling properties and durability are outlined. Finally, the challenges and emerging trends are also proposed for sustainable and high-efficiency lithium extraction. This work offers valuable insights and theoretical support for the ongoing technical innovation and industrial application of MOF membranes in lithium extraction.

Abstract Image

盐湖卤水中MOF膜选择性提锂研究进展
金属有机框架膜(MOF)由于其可调节的孔隙结构和高比表面积而成为从盐湖盐水中提取锂的一种有前途的解决方案。它们对Li+的特殊选择性,结合在复杂离子环境中的高效萃取和强大性能,使MOF膜成为低浓度锂萃取的关键技术。然而,满足工业规模的需求不仅需要提高膜的选择性和渗透性,还需要解决恶劣条件下的长期稳定性和可重复使用性。本文综述了用于Li+提取的mof基膜材料的最新进展,重点介绍了无机和有机基质支撑结构。讨论了结构设计中的策略方法,如金属节点的选择,配体修饰,活性分子的包封,以及实现精确孔结构的生长控制技术。此外,还概述了通过多层和复合结构增强膜坚固性以提高防污性能和耐久性的方法。最后,提出了可持续高效锂提取面临的挑战和发展趋势。该研究为MOF膜在锂提取中的技术创新和工业应用提供了有价值的见解和理论支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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