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Cited by 169

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Electrochemical lithium extraction from aqueous sources

Open access
Xiong, Yuecheng, Zhou, Jingwen, Lu, Pengyi, Yin, Jinwen, Wang, Yunhao, Fan, Zhanxi·2022·Matter

Abstract

SUMMARY Lithium (Li) has been considered as the backbone of modern energy infrastructures. In recent years, the production rate of Li has lagged behind the global demand due to the proliferation of electric devices and vehicles. To ensure a stable and sustainable supply of Li, electrochemical extraction of Li from unconventional aqueous sources, especially seawater containing almost inexhaustible Li resource, has received extensive attention. To proceed the way to real practices, this review covers a broad knowledge of electro-chemical Li recovery processes, including cell configurations, working principles, and performance metrics. Specifically, Li-selective materials (electrodes, adsorbents, and membranes), pivotal to achieve superior Li selectivity and extraction performance, has been carefully summarized to spur innovative design strategies. Herein, an integrated system is conceived where electrochemical Li recovery unit functions as a bridge to connect desalination plant and battery industry, offering a feasible solution to circular economy at the water-energy nexus.

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Crossref · 10.1016/j.matt.2022.04.034

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Metadata

Authors
Xiong, Y., Zhou, J., Lu, P., Yin, J., Wang, Y., & Fan, Z.
Venue
Matter
Publisher
Elsevier BV
Published
2022-06
Volume
5
Issue
6
Pages
1760-1791
ISSN
2590-2385 (ISSN-L)
OpenAlex
W4281739903
Cited by
169
References
17
FWCI
11.24
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Electrochemical lithium extraction from aqueous sources. https://app.cochat.ai/papers/10.1016/j.matt.2022.04.034
The paper
Xiong, Y., Zhou, J., Lu, P., Yin, J., Wang, Y., & Fan, Z. (2022). Electrochemical lithium extraction from aqueous sources. Matter. https://doi.org/10.1016/j.matt.2022.04.034

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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