期刊
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
卷 60, 期 46, 页码 24549-24557出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202109054
关键词
aggregation-induced emission; circularly polarized luminescence; fluorescence; FRET; self-assembly
资金
- NSFC/China [21788102, 21636002, 21622602, 21875143, 21908146, 21908060]
- Shanghai Municipal Science and Technology Major Project [2018SHZDZX03]
- Innovation Program of Shanghai Municipal Education Commission, Scientific Committee of Shanghai [15XD1501400]
- Programme of Introducing Talents of Discipline to Universities [B16017]
- China Postdoctoral Science Foundation [2019M651417]
- Innovation Research Foundation of Shenzhen [JCYJ20180507182229597]
A unique CPL transmission method using circularly polarized fluorescence resonance energy transfer (C-FRET) has been discovered, showing significant potential for various applications. This mode provides a novel strategy concept for high-level information processing.
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 poor through-space energy transfer. 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 acts 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 it 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.
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