Evidence map›Paper›PMID 41960929›Full record

ArticleACS applied materials & interfaces2026

Toward Sustainable Lithium Recovery: A Universal Hydrothermal Approach for Lithium Extraction.

Zexin Wang, Jiahui Hou, Zifei Meng, Jinzhao Fu, Zeyi Yao, Zhenzhen Yang, Yan Wang

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zexin WangDepartment of Mechanical and Materials Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States.
Jiahui HouDepartment of Mechanical and Materials Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States.
Zifei MengDepartment of Mechanical and Materials Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States.
Jinzhao FuDepartment of Mechanical and Materials Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States.
Zeyi YaoDepartment of Mechanical and Materials Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States.ORCID 0000-0003-3338-1690
Zhenzhen YangChemical Sciences & Engineering Division, Argonne National Laboratory, 9700 S Cass Ave, Lemont, Illinois 60439, United States.ORCID 0000-0002-1073-3799
Yan WangDepartment of Mechanical and Materials Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States.ORCID 0000-0003-1060-2956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid growth of lithium-ion battery (LIB) deployment presents critical challenges in sustainable end-of-life management and raw material recovery. Conventional pyrometallurgical and hydrometallurgical methods suffer from high energy demand, lithium loss, and complex wastewater treatment. This study established a universal, highly efficient, and sustainable hydrothermal route for lithium extraction and material recovery from various spent lithium-ion battery cathodes using 1,2,4,5-benzenetetracarboxylic acid (BTCA). The optimized process achieved over 99% lithium leaching efficiency for lithium iron phosphate (LFP) and LiNi

Indexed as

battery-grade producthigh selectivityhydrothermal reactionlithium-ion batteries recyclingultrahigh efficiencyuniversal feedstock

Identifiers

PMID41960929
PMCPMC13107369

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.