Suppr超能文献

废弃锂离子电池的回收:阴极和阳极材料分离的关键浮选。

The Recycling of Spent Lithium-Ion Batteries: Crucial Flotation for the Separation of Cathode and Anode Materials.

机构信息

School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.

School of Resource Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.

出版信息

Molecules. 2023 May 13;28(10):4081. doi: 10.3390/molecules28104081.

Abstract

The recycling of spent lithium-ion batteries (LIBs) has attracted great attention, mainly because of its significant impact on resource recycling and environmental protection. Currently, the processes involved in recovering valuable metals from spent LIBs have shown remarkable progress, but little attention has been paid to the effective separation of spent cathode and anode materials. Significantly, it not only can reduce the difficulty in the subsequent processing of spent cathode materials, but also contribute to the recovery of graphite. Considering the difference in their chemical properties on the surface, flotation is an effective method to separate materials, owing to its low-cost and eco-friendly characteristics. In this paper, the chemical principles of flotation separation for spent cathodes and materials from spent LIBs is summarized first. Then, the research progress in flotation separation of various spent cathode materials (LiCoO, LiNiCoMnO, and LiFePO) and graphite is summarized. Given this, the work is expected to offer the significant reviews and insights about the flotation separation for high-value recycling of spent LIBs.

摘要

废旧锂离子电池(LIBs)的回收引起了极大的关注,主要是因为它对资源回收和环境保护具有重要意义。目前,从废旧 LIBs 中回收有价值金属的过程已经取得了显著的进展,但很少有人关注有效分离废旧阴极和阳极材料。重要的是,这不仅可以降低后续处理废旧阴极材料的难度,还有助于回收石墨。考虑到它们表面化学性质的差异,浮选是一种有效的分离材料的方法,因为它具有低成本和环保的特点。本文首先总结了废旧 LIBs 中废旧阴极和材料浮选分离的化学原理。然后,总结了各种废旧阴极材料(LiCoO、LiNiCoMnO 和 LiFePO)和石墨的浮选分离研究进展。有鉴于此,这项工作有望对废旧 LIBs 的高价值回收浮选分离提供重要的综述和见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6126/10224277/9955984c6844/molecules-28-04081-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验