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电容去离子提锂技术中电极材料的研究进展

Advanced electrode materials in capacitive deionization for efficient lithium extraction

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【作者】 陈泽秋蔡黎淼关杰李瞻洋王昊郭耀广徐兴涛潘丽坤

【Author】 Zeqiu Chen;Limiao Cai;Jie Guan;Zhanyang Li;Hao Wang;Yaoguang Guo;Xingtao Xu;Likun Pan;Shanghai Collaborative Innovation Centre for WEEE Recycling, School of Resources and Environmental Engineering,Shanghai Polytechnic University;Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University;Marine Science and Technology College, Zhejiang Ocean University;Institute of Magnetic Resonance and Molecular Imaging in Medicine, East China Normal University;

【通讯作者】 郭耀广;徐兴涛;潘丽坤;

【机构】 上海第二工业大学资源与环境工程学院,上海电子废弃物回收协同创新中心华东师范大学物理与电子科学学院,上海磁共振重点实验室浙江海洋大学海洋科技学院华东师范大学医学磁共振与分子影像技术研究院

【摘要】 随着新能源领域对锂资源需求的持续增长,开发高效的锂提取技术变得及其重要。然而,由于其高能耗和可能引发的二次污染问题,传统的锂提取和回收技术具有实际应用和发展的局限性。电容去离子(CDI)技术作为一种新兴的锂提取技术,在效率、成本效益和能源消耗方面展现出巨大的潜力。本综述从文献计量入手,剖析了CDI提锂的关键研究主题,进而全面总结了在CDI提锂技术中电极材料的最新进展,并探讨了使用这些材料构建的各种CDI系统类型。本研究详细阐明了CDI系统中用于锂资源回收的主要电极材料——水系锂离子电极材料(包括LiFePO4、 LiMn2O4、LiNi1/3Co1/3Mn1/3O2等)及其修饰材料(包括碳纳米管、石墨烯、MOF等)。此外,本文讨论了通过不同的电容去离子(CDI)系统提高锂提取效率,并评估了各种先进电极材料在这些系统中的性能。文末强调了机器学习在CDI提锂领域的应用潜力,并期望本研究将为未来开发基于CDI的高效锂提取系统提供坚实的理论基础和实践指导。

【Abstract】 Efficient technologies for lithium extraction are progressively pivotal in response to the growing requirement for lithium in new energy applications. However, due to its high energy consumption and possible secondary pollution problems, traditional lithium absorption and recovery technologies, are limited in practical application and development. Capacitive deionization(CDI) demonstrates significant potential for lithium extraction with regard to efficiency, cost-effectiveness, and energy consumption. This review commences with bibliometric analysis to dissect the key research topics of lithium extraction via CDI, and presents a complete synopsis of recent advances in electrode materials for lithium extraction using CDI technology, along with various types of CDI systems that utilize these materials. This study elucidates in detail the main electrode materials used in CDI systems for lithium resource recovery ——aqueous lithium ion electrode materials(including LiFePO4, LiMn2O4, LiNi1/3Co1/3Mn1/3O2) and their modification materials(including carbon nanotubes, graphene, MOFs). In addition, this paper discusses the improvement of lithium extraction efficiency through different CDI systems and evaluates the capability of various advanced electrode materials in these systems. The end of the paper emphasizes the application potential of machine learning in the domain of lithium extraction via CDI. The study is anticipated to deliver a strong theoretical basis and practical recommendations for advancing efficient lithium extraction systems that utilize CDI.

【基金】 国家自然科学基金(52400174,52270129,52370142);上海扬帆计划(24YF2714000);东方英才青年计划及上海曙光计划(23SG52)资助项目~~
  • 【文献出处】 物理化学学报 ,Acta Physico-Chimica Sinica , 编辑部邮箱 ,2025年08期
  • 【分类号】TS396.5
  • 【下载频次】108
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