TY - JOUR
T1 - Advanced electrode materials in capacitive deionization for efficient lithium extraction
AU - Chen, Zeqiu
AU - Cai, Limiao
AU - Guan, Jie
AU - Li, Zhanyang
AU - Wang, Hao
AU - Guo, Yaoguang
AU - Xu, Xingtao
AU - Pan, Likun
N1 - Publisher Copyright:
© 2025 College of Chemistry and Molecular Engineering, Peking University
PY - 2025/8
Y1 - 2025/8
N2 - 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.
AB - 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.
KW - Capacitive deionization
KW - Electrochemical
KW - Electrode material
KW - Lithium extraction
UR - https://www.scopus.com/pages/publications/105003549242
U2 - 10.1016/j.actphy.2025.100089
DO - 10.1016/j.actphy.2025.100089
M3 - 文献综述
AN - SCOPUS:105003549242
SN - 1000-6818
VL - 41
JO - Wuli Huaxue Xuebao/ Acta Physico - Chimica Sinica
JF - Wuli Huaxue Xuebao/ Acta Physico - Chimica Sinica
IS - 8
M1 - 100089
ER -
