Zhou Xiaobo, Zhao Lingfeng, Zhang Ke, Yang Chaojie, Li Shijie, Kang Xiaoxia, Li Guo, Wang Qi, Ji Haiwei, Wu Mingmin, Liu Jinxia, Qin Yuling, Wu Li
School of Public Health, Nantong University Nantong 226019 Jiangsu China
Chem Sci. 2022 Oct 25;14(1):113-120. doi: 10.1039/d2sc04862k. eCollection 2022 Dec 21.
AIEgen doped fluorescent nanodots (AIEdots) have attracted lots of attention, due to their superior characteristics as fluorescent probes, such as excellent photostability, large Stokes shift, high brightness and tunable emission. Unfortunately, most of the currently available AIEdots exhibit broad emission bandwidth, which limits their applications in multiplexed fluorescence imaging and detection. In this work, the strategy of designing and fabricating narrow emissive AIEdots (NE-AIEdots) with tunable wavelengths was presented by constructing a light-harvesting system with high energy transfer efficiency. Efficient intra-particle energy transfer from highly doped AIEgens, serving as the light-harvesting antenna, to the lightly doped narrow emissive fluorophore, resulted in high brightness and narrow emission. The emission band of NE-AIEdots with the full-width-at-half-maximum varied from 18 to 36 nm was 3-6.3 times narrower than that of traditional AIEdots. The single-particle brightness of NE-AIEdots was over 5-times that of commercial quantum dots under the same excitation and collection conditions. Taking advantage of the superior performance of these NE-AIEdots, multiplexed fluorescence imaging of lymph nodes in living mice was realized, which supported the future applications of NE-AIEdots for multiplexed labeling and clinical surgery.
聚集诱导发光(AIE)分子掺杂的荧光纳米点(AIEdots)因其作为荧光探针的优异特性,如出色的光稳定性、大斯托克斯位移、高亮度和可调节发射等,而备受关注。不幸的是,目前大多数可用的AIEdots表现出较宽的发射带宽,这限制了它们在多重荧光成像和检测中的应用。在这项工作中,通过构建具有高能量转移效率的光捕获系统,提出了设计和制造具有可调波长的窄发射AIEdots(NE-AIEdots)的策略。从作为光捕获天线的高掺杂AIE分子到轻掺杂窄发射荧光团的高效粒子内能量转移,导致了高亮度和窄发射。半高宽在18至36nm之间变化的NE-AIEdots的发射带比传统AIEdots窄3至6.3倍。在相同的激发和收集条件下,NE-AIEdots的单粒子亮度比商业量子点高5倍以上。利用这些NE-AIEdots的优异性能,实现了对活体小鼠淋巴结的多重荧光成像,这为NE-AIEdots在多重标记和临床手术中的未来应用提供了支持。