Supramolecular Method Enabling Effective Through-Space Charge Transfer in Thermally Activated Delayed Fluorescence Materials with Pure Orange Emission

IF 4.1 2区 化学 Q2 POLYMER SCIENCE Polymer Chemistry Pub Date : 2024-11-22 DOI:10.1039/d4py01181c
Yufeng Sang, Ruicong Feng, Yuqian Wang, Qiao Song
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Abstract

Achieving efficient charge transfer remains a significant challenge for thermally activated delayed fluorescence (TADF) materials that rely on through-space charge transfer (TSCT). In this study, we successfully applied a novel donor-acceptor pair characterized by non-exclusive charge transfer to TSCT-based TADF polymers. We propose a supramolecular strategy to optimize charge transfer by regulating the spatial arrangement of the donor-acceptor pairs. As the order of these pairs increases, localized emission from monomers is gradually quenched, ultimately resulting in pure orange emission. Photophysical studies reveal that improved spatial order accelerates the reverse intersystem crossing process, thereby enhancing the radiative transition rate of TADF emission and enabling efficient TSCT. This research offers a feasible method for designing TSCT-TADF materials. The resulting supramolecular systems with ordered configurations exhibit excellent energy and charge transfer performance, indicating their potential applications in optoelectronic devices, bioimaging, photodynamic therapy, and other fields.
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通过超分子方法实现热激活延迟荧光材料中有效的穿越空间电荷转移,并发出纯橙色荧光
对于依赖于空间电荷转移(TSCT)的热激活延迟荧光(TADF)材料来说,实现高效电荷转移仍然是一项重大挑战。在这项研究中,我们成功地将以非排他性电荷转移为特征的新型供体-受体对应用到了基于 TSCT 的 TADF 聚合物中。我们提出了一种超分子策略,通过调节供体-受体对的空间排列来优化电荷转移。随着这些对的阶数增加,单体的局部发射逐渐熄灭,最终形成纯橙色发射。光物理研究表明,空间阶数的提高加快了反向系统间交叉过程,从而提高了 TADF 发射的辐射转换率,实现了高效的 TSCT。这项研究为设计 TSCT-TADF 材料提供了一种可行的方法。由此产生的有序构型超分子体系表现出优异的能量和电荷转移性能,表明它们在光电器件、生物成像、光动力疗法等领域具有潜在的应用前景。
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来源期刊
Polymer Chemistry
Polymer Chemistry POLYMER SCIENCE-
CiteScore
8.60
自引率
8.70%
发文量
535
审稿时长
1.7 months
期刊介绍: Polymer Chemistry welcomes submissions in all areas of polymer science that have a strong focus on macromolecular chemistry. Manuscripts may cover a broad range of fields, yet no direct application focus is required.
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