Circularly Polarized Fluorescence Resonance Energy Transfer (C-FRET) for Efficient Chirality Transmission within an Intermolecular System.

Circularly Polarized Fluorescence Resonance Energy Transfer (C-FRET) for Efficient Chirality Transmission within an Intermolecular System.
复制标题

DOI:
10.1002/anie.202109054
复制
发表时间:
2021-08
期刊:
影响因子:
--
通讯作者:
Yue Wu;Chenxu Yan;Xin‐Shun Li;Licai You;Zhenqiang Yu;Xiaofeng Wu;Zhi-gang Zheng;Guofeng Liu
Yue Wu;Chenxu Yan;Xin‐Shun Li;Licai You;Zhenqiang Yu;Xiaofeng Wu;Zhi-gang Zheng;Guofeng Liu
中科院分区:
--
文献类型:
--
作者:
Yue Wu;Chenxu Yan;Xin‐Shun Li;Licai You;Zhenqiang Yu;Xiaofeng Wu;Zhi-gang Zheng;Guofeng Liu

文献摘要

相似文献

手性的发生和传递是自然界的一个迷人特征。然而,圆偏振发光(CPL)的分子间传输效率仍然具有挑战性,由于通过空间的能量传递差。在这里,我们报告了一个独特的CPL传输诱导非手性受体发射CPL在一个特定的液晶(LC)为基础的分子间系统通过圆偏振荧光共振能量转移(C-FRET),其中发光的手性供体,并合理设计的非手性长波长聚集诱导发射(AIE)荧光团作为良好组装的受体。与光子释放和吸收相反,C-FRET的手性传输通道高度依赖于在高度固有的手性组装体中的能量共振,如通过故意将非手性受体与手性供体分离以保持远超过共振距离所证实的。这种C-FRET模式为高密度数据存储、组合逻辑计算和多级数据加密和解密等应用的高级信息处理提供了从头策略概念。
The occurrence and transmission of chirality is a fascinating characteristic of nature. However, the intermolecular transmission efficiency of circularly polarized luminescence (CPL) remains challenging due to the poor through-space energy transfer. Here we report a unique CPL transmission from inducing the achiral acceptor to emit CPL within a specific liquid crystal (LC)-based intermolecular system through a circularly polarized fluorescence resonance energy transfer ( C -FRET), wherein the luminescent cholesteric LC is employed as the chirality donor, and rationally designed achiral long-wavelength aggregation-induced emission (AIE) fluorophore act as the well-assembled acceptor. In contrast to photon-release-and-absorption, the chirality transmission channel of C -FRET is highly dependent upon the energy resonance in the highly intrinsic chiral assembly of cholesteric LC, as verified by deliberately separating the achiral acceptor from the chiral donor to keep far beyond the resonance distance. This C -FRET mode provides a de novo strategy concept for high-level information processing for applications such as high-density data storage, combinatorial logic calculation, and multilevel data encryption and decryption.