Evidence map›Paper›PMID 39654702›Full record

ArticleHeliyon2024

Optimization of resource recovery technologies in the disassembly of waste lithium batteries: A study on selective lithium extraction.

Wenbiao Liu, Banglong Wan, Hang Ma, Jiayu Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

4 authors.

Wenbiao LiuYunnan Yuntianhua Co.Ltd. R & D Center, Kunming, 650228, China.
Banglong WanYunnan Yuntianhua Co.Ltd. R & D Center, Kunming, 650228, China.
Hang MaYunnan Yuntianhua Co.Ltd. R & D Center, Kunming, 650228, China.
Jiayu ZhangYunnan Yuntianhua Co.Ltd. R & D Center, Kunming, 650228, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on optimizing resource recovery technology in the dismantling process of retired lithium batteries to mitigate environmental pollution. Addressing the challenge of significant precious metal losses in traditional hydrometallurgical recycling methods, this study employs a reductive roasting-carbonation leaching process to selectively extract lithium from cathode materials using a reducing agent. The study examines the effects of parameters such as roasting temperature, time, and reducing agent dosage on lithium leaching efficiency, and explores additional factors including carbonation leaching time, carbon dioxide flow rate, liquid-to-solid ratio, and leaching temperature in conjunction with multi-stage countercurrent leaching technology. Characterization of the roasting products and leaching process is performed using X-ray diffraction, scanning electron microscopy, and Fourier-transform infrared spectroscopy. The results demonstrate that, under conditions of a 700 °C roasting temperature, a 3-h roasting time, and a 15 % reducing agent dosage, the lithium leaching rate can achieve approximately 90 %. Following multi-stage countercurrent leaching, the lithium leaching rate exceeds 97 %, satisfying the purity requirements for battery-grade lithium carbonate. The innovation of this study is evident in its optimization of the recycling process, effectively separating and recovering cathode materials while reducing environmental pollution. This approach supports environmentally friendly waste treatment and contributes to the sustainable development of the battery industry.

Indexed as

Carbonization water leachingDecommissioned lithium batteriesLithium leaching ratePollution controlRoasting modification

Identifiers

PMID39654702
PMCPMC11625255

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.