Evidence map›Paper›PMID 42241235›Full record

ArticleAngewandte Chemie (International ed. in English)2026

One-Pot Tandem Conversion Strategy Enables Atom-Economical Recovery of Spent Layered Oxide Cathodes.

Xinlei Zhang, Xiyu Zhu, Lina Shan, Zhexu Wang, Xiaolu Su, Zhao Cai, Chenggang Zhou, Ruimin Sun, Qiang Gao, Bo Han

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Angewandte Chemie (International ed. in English), 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

10 authors.

Xinlei ZhangFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.
Xiyu ZhuFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.
Lina ShanFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.
Zhexu WangFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.
Xiaolu SuWuhan Academy of Agricultural Sciences, Wuhan, China.ORCID https://orcid.org/0009-0003-8811-8643
Zhao CaiFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.ORCID https://orcid.org/0000-0001-7110-9300
Chenggang ZhouFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.ORCID https://orcid.org/0000-0002-1558-9423
Ruimin SunFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.ORCID https://orcid.org/0000-0002-4464-1016
Qiang GaoFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.ORCID https://orcid.org/0000-0002-9750-5923
Bo HanFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.

Funding

and the China Institute of Atomic Energy BJ030261224901National Natural Science Foundation of China 22205068the Shenzhen Science and Technology Program JCYJ20230807113709019
6 · The paper itself

Abstract

The efficient and sustainable recycling of valuable metals from spent lithium-ion batteries (LIBs) presents a significant challenge, as conventional hydrometallurgical methods often suffer from harsh operational conditions and inefficient reagent utilization. Herein, we report an atom-economical one-pot tandem conversion (OTC) strategy for the rapid recovery of critical metals from spent layered oxide cathodes (i.e., LiNi

Indexed as

atom economygreen hydrometallurgical recoveryreduction and coordinationselective recoveryspent cathodes

Identifiers

PMID42241235
PMCPMC13427128

What OpenQuestion holds

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Registered trials

None linked

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.