Fused‐Ring Pyrrole‐Based Near‐Infrared Emissive Organic RTP Material for Persistent Afterglow Bioimaging

磷光 材料科学 发光 红外线的 光电子学 磷光有机发光二极管 余辉 有机发光二极管 光化学 纳米技术 荧光 化学 光学 图层(电子) 天文 物理 伽马射线暴
作者
Yeyun Zhao,Jianhui Yang,Chao Liang,Zhongjie Wang,Yongfeng Zhang,Gengchen Li,Jiamin Qu,Xi Wang,Yahui Zhang,Peng Sun,Jianbing Shi,Bin Tong,Hai‐Yan Xie,Zhengxu Cai,Yuping Dong
出处
期刊:Angewandte Chemie [Wiley]
卷期号:63 (5): e202317431-e202317431 被引量:130
标识
DOI:10.1002/anie.202317431
摘要

Organic near-infrared room temperature phosphorescence (RTP) materials offer remarkable advantages in bioimaging due to their characteristic time scales and background noise elimination. However, developing near-infrared RTP materials for deep tissue imaging still faces challenges since the small band gap may increase the non-radiative decay, resulting in weak emission and short phosphorescence lifetime. In this study, fused-ring pyrrole-based structures were employed as the guest molecules for the construction of long wavelength emissive RTP materials. Compared to the decrease of the singlet energy level, the triplet energy level showed a more effectively decrease with the increase of the conjugation of the substituent groups. Moreover, the sufficient conjugation of fused ring structures in the guest molecule suppresses the non-radiative decay of triplet excitons. Therefore, a near-infrared RTP material (764 nm) was achieved for deep penetration bioimaging. Tumor cell membrane is used to coat RTP nanoparticles (NPs) to avoid decreasing the RTP performance compared to traditional coating by amphiphilic surfactants. RTP NPs with tumor-targeting properties show favorable phosphorescent properties, superior stability, and excellent biocompatibility. These NPs are applied for time-resolved luminescence imaging to eliminate background interference with excellent tissue penetration. This study provides a practical solution to prepare long-wavelength and long-lifetime organic RTP materials and their applications in bioimaging.
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
刚刚
小花给zkl011的求助进行了留言
刚刚
白云朵完成签到,获得积分10
刚刚
1秒前
pengya182完成签到,获得积分10
1秒前
ChatGDP_deepsuck完成签到,获得积分10
1秒前
1秒前
卡坦精完成签到,获得积分10
1秒前
1秒前
王孟玲完成签到,获得积分10
1秒前
2秒前
2秒前
3秒前
3秒前
3秒前
ffq完成签到,获得积分10
3秒前
想吃芝士荔枝烤鱼完成签到,获得积分10
3秒前
gwh68964402gwh完成签到,获得积分10
3秒前
lifeng完成签到 ,获得积分10
3秒前
Tamakawa发布了新的文献求助10
3秒前
jery完成签到,获得积分10
3秒前
xiaotang完成签到,获得积分10
4秒前
watercolding完成签到,获得积分10
4秒前
所所应助ZJL采纳,获得10
4秒前
4秒前
桐桐应助HCS采纳,获得10
4秒前
Sophia完成签到,获得积分10
4秒前
酷波er应助取个名儿吧采纳,获得10
4秒前
迷人安双发布了新的文献求助10
4秒前
5秒前
无限鼠标发布了新的文献求助10
5秒前
godblessyou发布了新的文献求助10
5秒前
科研通AI6.2应助BABY五齿采纳,获得10
5秒前
pokexuejiao完成签到,获得积分10
6秒前
6秒前
Lucas应助shao采纳,获得10
6秒前
phq完成签到,获得积分10
6秒前
cssc完成签到 ,获得积分10
6秒前
6秒前
KDone发布了新的文献求助10
7秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 7248316
求助须知:如何正确求助?哪些是违规求助? 8871265
关于积分的说明 18716836
捐赠科研通 6927408
什么是DOI,文献DOI怎么找? 3198303
关于科研通互助平台的介绍 2373907
邀请新用户注册赠送积分活动 2173076