The recovery and separation of lithium by using solvent extraction methods

化学 溶剂萃取 萃取(化学) 锂(药物) 分离(统计) 色谱法 溶剂 分离法 有机化学 计算机科学 医学 机器学习 内分泌学
作者
Thines Kanagasundaram,Olivia Murphy,Maha N. Haji,Justin J. Wilson
出处
期刊:Coordination Chemistry Reviews [Elsevier BV]
卷期号:509: 215727-215727 被引量:200
标识
DOI:10.1016/j.ccr.2024.215727
摘要

Lithium, the lightest alkali metal, has been called the "new white gold" because of its limited availability and critical importance in arising applications in clean energy, like hybrid and electric vehicles. However, the rapidly growing demand for lithium, combined with its low global production rates, has led to concerns regarding the development of new technologies that require this critical mineral. For this reason, there is a need for cost-effective, energy-efficient, and environmentally friendly approaches to isolate lithium from sustainable resources like brine, ores, and seawater. In this context, solvent extraction is a promising technique for lithium recovery from these sources that has advantages over other approaches like precipitation, solid-state adsorption, and membranes. However, there are few processes in industry that use solvent extraction for lithium extraction and purification. The scarce use of this method industrially is possibly a consequence of critical knowledge gaps that need to be addressed prior to the optimization of processes with suitably high lithium selectivity and extraction efficiency. This review bridges these gaps by highlighting the coordination chemistry of lithium and discussing the requirements for developing highly selective lithium chelators for solvent extraction. Additionally, the lithium coordination properties and solvent extraction performance of macrocyclic and acyclic chelator classes, as well as ionic liquid extraction systems, used to extract lithium from artificial solutions, brines, and seawater are reviewed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Crazyhhb完成签到,获得积分10
刚刚
子文完成签到,获得积分10
刚刚
1秒前
feier发布了新的文献求助10
1秒前
2秒前
大鲨鱼完成签到 ,获得积分10
2秒前
guo完成签到,获得积分10
2秒前
沅芷完成签到,获得积分10
3秒前
酷酷梨愁发布了新的文献求助10
3秒前
这家伙完成签到,获得积分10
4秒前
丘比特应助wang采纳,获得10
4秒前
5秒前
创新发布了新的文献求助10
5秒前
李梓权发布了新的文献求助10
5秒前
paradeYH完成签到,获得积分10
6秒前
hulahula发布了新的文献求助10
6秒前
7秒前
doing完成签到 ,获得积分10
7秒前
科研通AI6.2应助Csene采纳,获得10
9秒前
周世佳发布了新的文献求助20
9秒前
10秒前
12345完成签到 ,获得积分10
10秒前
Lyven发布了新的文献求助10
10秒前
momo102610完成签到,获得积分10
10秒前
FashionBoy应助徐凯丽采纳,获得10
11秒前
领导范儿应助victor1995888采纳,获得30
11秒前
DW应助追寻依风采纳,获得10
11秒前
jjjincc完成签到,获得积分10
12秒前
13秒前
13秒前
14秒前
12345关注了科研通微信公众号
14秒前
14秒前
14秒前
14秒前
风趣迎夏完成签到,获得积分20
14秒前
斯文败类应助夏侯初采纳,获得10
15秒前
合成肉完成签到,获得积分10
15秒前
所所应助程破茧采纳,获得10
15秒前
羲成发布了新的文献求助20
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7740292
求助须知:如何正确求助?哪些是违规求助? 9289038
关于积分的说明 20193425
捐赠科研通 7318510
什么是DOI,文献DOI怎么找? 3306434
关于科研通互助平台的介绍 2458669
邀请新用户注册赠送积分活动 2316546