Solar-enhanced lithium extraction from brines: strategies and applications

萃取(化学) 锂(药物) 光热治疗 工艺工程 计算机科学 资源(消歧) 材料科学 环境科学 蒸发 可持续能源 吸附 生化工程 水萃取 纳米技术 高效能源利用 低能 过程(计算)
作者
Xing Shijie,Jie Li,Haifeng Gao,Zhiyuan Guo,Lei Wang,Jing Wang,Panpan Zhang,Zhiyong Ji
出处
期刊:Chemical Communications [Royal Society of Chemistry]
卷期号:61 (84): 16304-16317 被引量:1
标识
DOI:10.1039/d5cc03440j
摘要

The global demand for lithium resources is continuously increasing, making the extraction of lithium (Li+) from brines a topic of widespread research interest. Traditional methods for extracting Li+ from brines are often hindered by high energy consumption, time-consuming extraction processes, and sluggish kinetics. Solar-enhanced lithium extraction (SEIE) technology utilizes green sources of energy to achieve a high water evaporation rate, serving as a driving force for the efficient capture and enrichment of Li+ from brines. Recently, significant progress has been made in the SEIE system, highlighting the need to review and summarize the strategies and applications of current photothermal materials (PMs) for sustainable Li+ extraction. This review begins by outlining the construction strategies of PMs to achieve high photothermal conversion efficiency and a high water evaporation rate. It then summarizes the engineering approaches of PMs in the SEIE system for Li+ extraction, including Li+ selective adsorption PMs and Li+ selective separation PMs, with a detailed discussion on their underlying mechanisms, design principles, and practical applications. Finally, we provide perspectives on the design of next-generation PMs in the SEIE system and propose strategies to enhance their long-term stability for practical lithium resource harvesting. In summary, this review not only systematically analyzes Li+ recovery from various brines but also offers actionable guidelines for advancing SEIE technology toward industrial-scale applications.
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
xc发布了新的文献求助10
刚刚
xc发布了新的文献求助10
1秒前
xc发布了新的文献求助10
1秒前
xc发布了新的文献求助10
1秒前
xc发布了新的文献求助10
1秒前
xc发布了新的文献求助10
1秒前
xc发布了新的文献求助10
1秒前
1秒前
v0id应助南寻采纳,获得10
1秒前
1秒前
wangdz完成签到,获得积分10
1秒前
NY发布了新的文献求助10
2秒前
云云纵声完成签到,获得积分10
2秒前
充电宝应助布丁仔采纳,获得10
2秒前
打打应助从容书雁采纳,获得10
2秒前
tamo发布了新的文献求助10
3秒前
雪逸仙完成签到,获得积分10
3秒前
守夜人发布了新的文献求助80
4秒前
zhuangzhuang完成签到,获得积分10
4秒前
czd发布了新的文献求助10
4秒前
科目三应助凝望那片海2020采纳,获得10
5秒前
顾心完成签到,获得积分10
5秒前
沐沐瓜完成签到 ,获得积分10
5秒前
占星术士完成签到,获得积分10
6秒前
lvvvvv发布了新的文献求助10
6秒前
6秒前
6秒前
egggg完成签到,获得积分10
6秒前
还好发布了新的文献求助10
6秒前
魁梧的乌龟完成签到,获得积分10
7秒前
潇洒自行车完成签到 ,获得积分10
7秒前
赵Zhao完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
大福麻薯发布了新的文献求助10
9秒前
9秒前
9秒前
DD完成签到,获得积分20
9秒前
10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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
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 7608472
求助须知:如何正确求助?哪些是违规求助? 9184220
关于积分的说明 19672730
捐赠科研通 7182514
什么是DOI,文献DOI怎么找? 3270025
关于科研通互助平台的介绍 2433746
邀请新用户注册赠送积分活动 2264447