Advances in Fe3+-activated luminescent materials for near-infrared light sources

红外线的 发光 材料科学 纳米技术 光电子学 光学 物理
作者
Fangyi Zhao,Zhen Song,Quanlin Liu
出处
期刊:Progress in Solid State Chemistry [Elsevier BV]
卷期号:74: 100456-100456 被引量:45
标识
DOI:10.1016/j.progsolidstchem.2024.100456
摘要

Fe3+-activated near-infrared (NIR) luminescent materials have attracted growing research interests for their tunable broadband emission and extensive application potentials in the fields of night vision, biomedical imaging, nondestructive food analysis, etc. Deep insight into the relation between crystal structure and luminescence performance plays a significant role in developing novel efficient NIR functional materials. In this review, after a brief introduction, we first discuss the mechanism of Fe3+ luminescence in octahedral and tetrahedral crystal fields based on the Tanabe-Sugano energy level diagram. Next, the research progress of Fe3+-doped NIR luminescent materials, including structure, property and potential application, is summarized, followed by the strategies to enhance NIR steady-state luminescence, persistent luminescence and mechanoluminescence performances. Then we conduct a comparison of luminescence efficiency and luminescence thermal stability of Fe3+-doped NIR materials. At last, we propose several challenges and outlooks in the research of Fe3+-activated NIR luminescent materials. This review is aimed to provide a deeper understanding of not only Fe3+ luminescence mechanism but also the current research progress of Fe3+-doped materials, so as to provide constructive strategy in the exploitation of efficient Fe3+-activated NIR luminescent materials.
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
游悠悠发布了新的文献求助10
刚刚
如意蚂蚁发布了新的文献求助10
刚刚
Ann发布了新的文献求助20
刚刚
海因伯顿完成签到,获得积分10
1秒前
2秒前
3秒前
3秒前
3秒前
3秒前
知行合一发布了新的文献求助50
4秒前
4秒前
悦悦完成签到,获得积分10
5秒前
6秒前
wei发布了新的文献求助10
7秒前
7秒前
wangjiyao发布了新的文献求助30
7秒前
小伙子完成签到,获得积分10
7秒前
机智苗发布了新的文献求助10
8秒前
fbwg发布了新的文献求助10
8秒前
8秒前
lJH完成签到,获得积分10
8秒前
香蕉觅云应助inn采纳,获得10
9秒前
9秒前
9秒前
社恐小魏完成签到,获得积分10
9秒前
xushm发布了新的文献求助10
10秒前
枫丶发布了新的文献求助10
11秒前
小马甲应助ming采纳,获得10
11秒前
Jasper应助郑哈哈采纳,获得10
11秒前
11秒前
跳跃的凡霜完成签到,获得积分10
12秒前
伊莎贝儿发布了新的文献求助10
12秒前
小珂小珂完成签到,获得积分10
12秒前
小羊完成签到 ,获得积分10
12秒前
13秒前
干净的琦应助史萌采纳,获得30
13秒前
撒西不理完成签到,获得积分10
14秒前
14秒前
windli发布了新的文献求助10
14秒前
英姑应助wei采纳,获得10
14秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492768
求助须知:如何正确求助?哪些是违规求助? 8290294
关于积分的说明 17690743
捐赠科研通 5584744
什么是DOI,文献DOI怎么找? 2915445
邀请新用户注册赠送积分活动 1892541
关于科研通互助平台的介绍 1750782