journal article·2025-04Open access

Efficient and Selective Lithium Extraction from Brine Water Via a Photothermal Sandwich Sieve Structure

Hong Zhong, Qinghua Zhao, Zhongyu Lai, Dan Xu, Yaxiong Ji, Shifeng Wang, Qi Qin

Advanced Functional Materials· Volume 35· Issue 16

Abstract

Abstract Lithium is being recognized as a strategic resource on a global scale, mainly because of its growing importance in the production of lithium‐ion batteries for electric vehicles and energy storage systems. Due to its uneven geographical distribution and limited availability on Earth, extracting lithium from brines and seawater presents a sustainable supply pathway. However, conventional lithium extraction techniques are still challenging, necessitating significant costs and energy consumption. This study primarily employs a solar‐utilizing selective extraction strategy for efficient lithium harvesting by designing a solar‐thermal sandwich sieve structure. Herein, a portable solar‐driven lithium extraction device has been developed based on HKUST‐1 and LIG. Due to the sub‐nano channels provided by HKUST‐1, the hydrated Li+ can selectively pass through the MOF layer. The excellent solar heating of the layer enables the device an accelerate vapor escaping, it then facilitates the delivery of Li+, resulting in lithium accumulation at the interface for convenient collection. The maximum lithium extraction capacity in one cycle is 1467 mg m−2, demonstrating good Li+ selectivity absorption with a high Mg2+/Li+ ratio under 1 solar illumination. Moreover, the device shows excellent cycle stability. This work offers an integrated solar utilization for scalable and sustainable lithium extraction from brine water.
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Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Solar-Powered Water Purification Methods · Extraction and Separation Processes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection Shenzhen University Shenzhen 518000 P. R. China

Key Laboratory of Plateau Oxygen and Living Environment of Xizang Autonomous Region College of Science Xizang University Lhasa 850000 P. R. China

The Department of Land Surveying and Geo‐Informatics The Hong Kong Polytechnic University Hong Kong 999077 P. R. China

The Department of Building Environment and Energy Engineering The Hong Kong Polytechnic University Hong Kong 999077 P. R. China

Shenzhen International Graduate School Tsinghua University Shenzhen 518000 P. R. China

State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University Shenzhen 518000 P. R. China

Quantum Science Center of Guangdong‐Hong Kong‐Macao Greater Bay Area Shenzhen Guangdong 518000 P. R. China

Funding

National Natural Science Foundation of China

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