Evidence map›Paper›PMID 41735271›Full record

ArticleNature communications2026

Maximizing energy utilization and lithium leaching efficiency via sequential electrochemical dual-oxidation and soaking-relaxation.

Weixu Zhong, Xiaosong Gu, Xuezhen Feng, Shengyao Jin, Yangzi Shangguan, Hao Fan, Wenhan Cheng, Jiaxiang Liang, Jian Hu, Yufei Bai and 1 more

Abstract read
In one paragraph

Article in Nature communications, 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

11 authors.

Weixu ZhongSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Xiaosong GuSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Xuezhen FengSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Shengyao JinSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Yangzi ShangguanSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Hao FanSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Wenhan ChengSchool of Mechanical Engineering, Hunan University of Technology, Zhuzhou, China.
Jiaxiang LiangSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Jian HuSchool of Mechanical Engineering, Hunan University of Technology, Zhuzhou, China.
Yufei BaiSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Hong ChenSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China. chenh3@sustech.edu.cn.ORCID http://orcid.org/0000-0003-4053-7147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the escalating global demand for lithium resources, optimizing electric energy consumption in the electrochemical dual-oxidation (EDO) process, which includes both electrode oxidation and electrocatalytic oxidation, for lithium leaching from spent lithium-ion cathodes, is imperative. Herein, we propose an energy-effective two-stage continuous oxidation method for lithium leaching from various composition spent ternary lithium-ion batteries (NCM) cathodes. Coupling EDO (stage I) with soaking relaxation (stage II) enables both commercial and spent LiNi

Identifiers

PMID41735271
PMCPMC12946329

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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.