Suppr超能文献

通过切断类COF的C≡N键制备胶体量子点:基于官能团和边缘效应实现光学加密及双向硫化学

Cutting COF-like C N to Give Colloidal Quantum Dots: Towards Optical Encryption and Bidirectional Sulfur Chemistry via Functional Group and Edge Effects.

作者信息

Shu Chenhao, Fang Long, Yang Meijia, Zhong Linfeng, Chen Xiaochuan, Yu Dingshan

机构信息

Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, Key Laboratory of High Performance Polymer-based Composites of Guangdong Province, School of Chemistry, Sun Yat-sen University, Guangzhou, 510275, China.

出版信息

Angew Chem Int Ed Engl. 2022 Feb 14;61(8):e202114182. doi: 10.1002/anie.202114182. Epub 2022 Jan 3.

Abstract

Herein, we report the first synthesis of colloidal C N quantum dots (QDs) and their functional composites and explore their optical activities and edge-selective polysulfide adsorption-catalysis. As-obtained C NQDs are rich in carbonyl groups and edges, allowing good solution processability and facile assembly with other moieties for creating functionalities. While C NQDs show normal fluorescence (FL), the QD/poly(vinyl alcohol) (PVA) composites give FL/room-temperature-phosphorescence (RTP) dual-mode emission, enabling the corresponding solution to be used as an encryption ink. The QDs anchored onto carbon nanotubes can be used as a barrier layer to decorate commercial separators, endowing a Li-S cell with excellent cycling stability, high rate capability, and large areal capacity. Computation and experiment studies show that edge sites in C N favor polysulfide adsorption and catalysis and the enriched edges and carbonyl groups in QDs synergically promotecatalytic conversion of sulfur species.

摘要

在此,我们报道了胶体碳氮量子点(QDs)及其功能复合材料的首次合成,并探索了它们的光学活性和边缘选择性多硫化物吸附催化性能。所制备的碳氮量子点富含羰基和边缘,具有良好的溶液可加工性,并且易于与其他部分组装以实现功能化。虽然碳氮量子点表现出正常的荧光(FL),但量子点/聚乙烯醇(PVA)复合材料呈现出荧光/室温磷光(RTP)双模式发射,使得相应的溶液能够用作加密墨水。锚定在碳纳米管上的量子点可用作阻挡层来修饰商业隔膜,赋予锂硫电池优异的循环稳定性、高倍率性能和大的面积容量。计算和实验研究表明,碳氮中的边缘位点有利于多硫化物的吸附和催化,并且量子点中富集的边缘和羰基协同促进硫物种的催化转化。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验