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

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 Mg 2+ /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.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2024-12-18
DOI
https://doi.org/10.1002/adfm.202418358
Citations
23
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
4.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Hong Zhong, Yaxiong Ji, Shifeng Wang, Zhongyu Lai et al.
23 citations
Advanced Functional Materials
Advanced Battery Materials and Technologies
4.80
article

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

Hong Zhong, Yaxiong Ji, Shifeng Wang, Zhongyu Lai, Dan Xu, Qinghua Zhao, Qi Qin
article en
23 citations

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 Mg 2+ /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.

Advanced Functional MaterialsVol. 35(16)
Hong Kong Polytechnic University (HK), Xizang Minzu University (CN), Shenzhen University (CN), University Town of Shenzhen (CN), Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 4%
Advanced Battery Materials and Technologies
4.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.