Suppr超能文献

可调谐的核壳结构PdAg@Pd长链作为乙醇氧化的高性能催化剂。

Tunable long-chains of core@shell PdAg@Pd as high-performance catalysts for ethanol oxidation.

作者信息

You Huaming, Gao Fei, Song Tongxin, Zhang Yangping, Wang Huiwen, Liu Xiaofang, Yuan Mengyu, Wang Yuan, Du Yukou

机构信息

College of Chemistry, Chemical Engineering and Materials Science, Soochow University, 199 Renai Road, Suzhou 215123, PR China.

College of Chemical and Environmental Engineering, Yancheng Teachers University, Yancheng 224002, China.

出版信息

J Colloid Interface Sci. 2020 Aug 15;574:182-189. doi: 10.1016/j.jcis.2020.04.051. Epub 2020 Apr 12.

Abstract

High performance nanomaterial catalysts have attracted great attention on the application for the direct alcohol fuel cell. To improve the catalytic behavior, it is a challenge to modulate the surface structure and morphology of catalysts. We integrated properties of advanced networks nanostructure and core@shell structure to form a series of PdAg@Pd worm-like networks catalysts. Importantly, the composition-optimized PdAg WNWs exhibited excellent catalytic performance towards ethanol oxidation reaction compared to that of commercial Pd/C catalysts in alkaline media. The mass activity of PdAg WNWs is 3.55 times higher than that of commercial Pd/C catalysts for EOR. Moreover, the PdAg WNWs also showed superior stability after 250 successive cycles and kept far higher residual activities than that of the other catalysts. The synthesis of PdAg@Pd worm-like networks catalysts provides a reference to well combine the advantages of core@shell and networks structure to form high performance catalysts application for DEFC.

摘要

高性能纳米材料催化剂在直接醇类燃料电池的应用方面已引起了极大关注。为改善催化性能,调控催化剂的表面结构和形态是一项挑战。我们整合了先进的网络纳米结构和核壳结构的特性,形成了一系列PdAg@Pd蠕虫状网络催化剂。重要的是,与商业Pd/C催化剂相比,组成优化后的PdAg蠕虫状网络催化剂在碱性介质中对乙醇氧化反应表现出优异的催化性能。对于乙醇氧化反应,PdAg蠕虫状网络催化剂的质量活性比商业Pd/C催化剂高3.55倍。此外,在连续250次循环后,PdAg蠕虫状网络催化剂还表现出卓越的稳定性,且其残余活性远高于其他催化剂。PdAg@Pd蠕虫状网络催化剂的合成提供了一个参考,以便很好地结合核壳结构和网络结构的优势,形成用于直接醇类燃料电池的高性能催化剂。

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