Suppr超能文献

源自丝素蛋白的多孔氮掺杂碳包覆硫,作为高性能锂硫电池的优异正极材料。

Porous nitrogen-doped carbon derived from silk fibroin protein encapsulating sulfur as a superior cathode material for high-performance lithium-sulfur batteries.

作者信息

Zhang Jiawei, Cai Yurong, Zhong Qiwei, Lai Dongzhi, Yao Juming

机构信息

The Key Laboratory of Advanced Textile Materials and Manufacturing Technology of Ministry of Education, National Engineering Lab of Textile Fiber Materials & Processing Technology, College of Materials and Textiles, Zhejiang Sci-Tech University, Hangzhou 310018, China.

出版信息

Nanoscale. 2015 Nov 14;7(42):17791-7. doi: 10.1039/c5nr04768d. Epub 2015 Oct 12.

Abstract

The features of a carbon substrate are crucial for the electrochemical performance of lithium-sulfur (Li-S) batteries. Nitrogen doping of carbon materials is assumed to play an important role in sulfur immobilisation. In this study, natural silk fibroin protein is used as a precursor of nitrogen-rich carbon to fabricate a novel, porous, nitrogen-doped carbon material through facile carbonisation and activation. Porous carbon, with a reversible capacity of 815 mA h g(-1) at 0.2 C after 60 cycles, serves as the cathode material in Li-S batteries. Porous carbon retains a reversible capacity of 567 mA h g(-1), which corresponds to a capacity retention of 98% at 1 C after 200 cycles. The promising electrochemical performance of porous carbon is attributed to its mesoporous structure, high specific surface area and nitrogen doping into the carbon skeleton. This study provides a general strategy to synthesise nitrogen-doped carbons with a high specific surface area, which is crucial to improve the energy density and electrochemical performance of Li-S batteries.

摘要

碳基底的特性对于锂硫(Li-S)电池的电化学性能至关重要。碳材料的氮掺杂被认为在硫固定方面起着重要作用。在本研究中,天然丝素蛋白被用作富氮碳的前驱体,通过简便的碳化和活化制备出一种新型的、多孔的、氮掺杂碳材料。多孔碳在60次循环后于0.2 C时具有815 mA h g⁻¹的可逆容量,用作Li-S电池的正极材料。多孔碳在200次循环后于1 C时仍保持567 mA h g⁻¹的可逆容量,对应容量保持率为98%。多孔碳优异的电化学性能归因于其介孔结构、高比表面积以及氮掺杂进入碳骨架。本研究提供了一种合成高比表面积氮掺杂碳的通用策略,这对于提高Li-S电池的能量密度和电化学性能至关重要。

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