Suppr超能文献

吡啶基共价三嗪框架内原位生成电解质用于直接集成超级电容器

In Situ Generation of Electrolyte inside Pyridine-Based Covalent Triazine Frameworks for Direct Supercapacitor Integration.

作者信息

Troschke Erik, Leistenschneider Desirée, Rensch Tilo, Grätz Sven, Maschita Johannes, Ehrling Sebastian, Klemmed Benjamin, Lotsch Bettina V, Eychmüller Alexander, Borchardt Lars, Kaskel Stefan

机构信息

Department of Inorganic Chemistry, Technische Universität Dresden, Bergstraße 66, 01069, Dresden, Germany.

Department of Chemical and Materials Engineering, University of Alberta, 9211-116 Street NW, T6G 1H9, Edmonton, Alberta, Canada.

出版信息

ChemSusChem. 2020 Jun 19;13(12):3192-3198. doi: 10.1002/cssc.202000518. Epub 2020 May 11.

Abstract

The synthesis of porous electrode materials is often linked with the generation of waste that results from extensive purification steps and low mass yield. In contrast to porous carbons, covalent triazine frameworks (CTFs) display modular properties on a molecular basis through appropriate choice of the monomer. Herein, the synthesis of a new pyridine-based CTF material is showcased. The porosity and nitrogen-doping are tuned by a careful choice of the reaction temperature. An in-depth structural characterization by using Ar physisorption, X-ray photoelectron spectroscopy, and Raman spectroscopy was conducted to give a rational explanation of the material properties. Without any purification, the samples were applied as symmetrical supercapacitors and showed a specific capacitance of 141 F g . Residual ZnCl , which acted formerly as the porogen, was used directly as the electrolyte salt. Upon the addition of water, ZnCl was dissolved to form the aqueous electrolyte in situ. Thereby, extensive and time-consuming washing steps could be circumvented.

摘要

多孔电极材料的合成通常与大量纯化步骤和低质量产率所产生的废物相关联。与多孔碳不同,共价三嗪骨架(CTF)通过适当选择单体在分子基础上表现出模块化特性。在此展示了一种新型吡啶基CTF材料的合成。通过仔细选择反应温度来调节孔隙率和氮掺杂。利用氩气物理吸附、X射线光电子能谱和拉曼光谱进行了深入的结构表征,以合理解释材料性能。无需任何纯化,这些样品被用作对称超级电容器,表现出141 F g的比电容。先前用作致孔剂的残留ZnCl₂直接用作电解质盐。加水后,ZnCl₂溶解原位形成水性电解质。由此,可以避免广泛且耗时的洗涤步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f84/7317966/3baca885febb/CSSC-13-3192-g001.jpg

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