Suppr超能文献

利用厌氧消化物合成高比表面积多孔碳及其作为超级电容器电极材料的电化学研究。

Synthesis of high surface area porous carbon from anaerobic digestate and it's electrochemical study as an electrode material for ultracapacitors.

作者信息

Chaturvedi Vikash, Usangonvkar Saurabh, Shelke Manjusha V

机构信息

Physical and Materials Chemistry Division, CSIR-National Chemical Laboratory Pune-411008 MH India

Academy of Scientific and Innovative Research (AcSIR) Ghaziabad-201002 UP India.

出版信息

RSC Adv. 2019 Nov 8;9(62):36343-36350. doi: 10.1039/c9ra06603a. eCollection 2019 Nov 4.

Abstract

The remnants of the anaerobic digestion process, 'the digestate,' mainly consist of fibrous lignin and cellulose like molecules, as a significant carbon repository along with some other inorganic impurities. The present work demonstrates the potential use of anaerobically treated fruit and vegetable waste (FVW) as a source of porous carbon for supercapacitor electrode materials. This work suggests that the FVW digestate can inherit silicon (Si) and calcium (Ca) based inorganic impurities, which play an essential role as structure directing agents for digestate derived carbon. These contaminants act as hard templates during carbonization to create hierarchical pores and contribute to an enhancement in surface area. Different batches from an anaerobic biogas digester plant are converted to porous carbon and examined as a potential supercapacitor electrode material. A maximum capacitance of 235 F g is achieved from DDHPC-4kh carbon with a specific surface area of 2502 m g at a current density of 1 A g in an acidic aqueous electrolyte. The results are significant in comparison to other bio-sourced precursors studied previously.

摘要

厌氧消化过程的残余物“沼渣”主要由纤维状木质素和类似纤维素的分子组成,是一个重要的碳储存库,还含有一些其他无机杂质。目前的研究表明,经厌氧处理的果蔬废料(FVW)有潜力作为超级电容器电极材料的多孔碳来源。这项研究表明,FVW沼渣能够继承硅(Si)和钙(Ca)基无机杂质,这些杂质作为沼渣衍生碳的结构导向剂发挥着重要作用。这些污染物在碳化过程中充当硬模板,形成分级孔隙并有助于增加表面积。来自厌氧沼气厂的不同批次的沼渣被转化为多孔碳,并作为潜在的超级电容器电极材料进行检测。在酸性水电解质中,电流密度为1 A g时,比表面积为2502 m g的DDHPC-4kh碳实现了235 F g的最大电容。与之前研究的其他生物源前驱体相比,这些结果意义重大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b4/9075029/9fd69708b05a/c9ra06603a-s1.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