Suppr超能文献

用于超级电容器的ZIF衍生纳米多孔碳和硫化钴基电极材料的开发

Development of ZIF-Derived Nanoporous Carbon and Cobalt Sulfide-Based Electrode Material for Supercapacitor.

作者信息

Ahmad Rabia, Iqbal Naseem, Noor Tayyaba

机构信息

US-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.

School of Chemical and Materials Engineering (SCME), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.

出版信息

Materials (Basel). 2019 Sep 11;12(18):2940. doi: 10.3390/ma12182940.

Abstract

Zeolitic Imidazolate Framework (ZIF-67) was prepared in two different solvents-water and methanol. Nanoporous carbon was derived from ZIF-67 via pyrolysis in an inert atmosphere. Anion exchange step of sulfidation on the synthesized material has a great influence on the structure and properties. Structural morphology and thermal stability were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM)/energy dispersive x-ray spectroscopy (EDS), Brunauer-Emmett-Teller (BET), and thermogravimetric (TG) analysis. The electrochemical analysis was evaluated by cyclic voltammetry, chronopotentiometry, and impedance analysis. The as-prepared nanoporous carbon and cobalt sulfide (NPC/CS) electrode material (water) in 2M KOH electrolyte solution exhibit high specific capacitance of 677 F/g. The excellent electrochemical performance of the NPC/CS was attributed to its hierarchical structure. This functionalized ZIF driven strategy paves the way to the preparation of various metal oxide and metal sulfide-based nanoheterostructures by varying the type of metal.

摘要

沸石咪唑酯骨架材料(ZIF-67)在水和甲醇这两种不同的溶剂中制备而成。通过在惰性气氛中热解,从ZIF-67获得了纳米多孔碳。合成材料上硫化的阴离子交换步骤对结构和性能有很大影响。通过X射线衍射(XRD)、扫描电子显微镜(SEM)/能量色散X射线光谱(EDS)、布鲁诺尔-埃米特-泰勒(BET)和热重(TG)分析对结构形态和热稳定性进行了表征。通过循环伏安法、计时电位法和阻抗分析对电化学性能进行了评估。在2M KOH电解质溶液中制备的纳米多孔碳和硫化钴(NPC/CS)电极材料(水)表现出677 F/g的高比电容。NPC/CS优异的电化学性能归因于其分级结构。这种功能化的ZIF驱动策略为通过改变金属类型制备各种金属氧化物和金属硫化物基纳米异质结构铺平了道路。

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