Suppr超能文献

通过X射线吸收光谱法研究的双金属纳米颗粒的结构模型和原子分布。

Structural models and atomic distribution of bimetallic nanoparticles as investigated by X-ray absorption spectroscopy.

作者信息

Hwang Bing-Joe, Sarma Loka Subramanyam, Chen Jiun-Ming, Chen Ching-Hsiang, Shih Shou-Chu, Wang Guo-Rung, Liu Din-Goa, Lee Jyh-Fu, Tang Mau-Tsu

机构信息

Nanoelectrochemistry Laboratory, Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan, Republic of China.

出版信息

J Am Chem Soc. 2005 Aug 10;127(31):11140-5. doi: 10.1021/ja0526618.

Abstract

In this report, we describe a general methodology to determine the extent of alloying or atomic distribution quantitatively in bimetallic nanoparticles (NPs) by X-ray absorption spectroscopy (XAS). The structural parameters determined in these studies serve as a quantitative index and provide a general route to determine the structural aspects of the bimetallic NPs. We have derived various types of possible structural models based on the extent of alloying and coordination number parameters of bimetallic NPs. We also discussed the nature of homo- and heterometallic interactions in bimetallic NPs based on the extent of alloying. Herein, we use carbon-supported platinum-ruthenium bimetallic nanoparticles to demonstrate the proposed methodology, and this can be extended further to get more insights into the alloying extent or atomic distribution of other bimetallic systems. The results demonstrated in this paper open up methods to determine the atomic distribution of bimetallic NPs, which is an extremely important parameter that strongly influences the physicochemical properties of NPs and their applications.

摘要

在本报告中,我们描述了一种通过X射线吸收光谱(XAS)定量测定双金属纳米颗粒(NPs)中合金化程度或原子分布的通用方法。在这些研究中确定的结构参数作为定量指标,并提供了一条确定双金属NPs结构方面的通用途径。我们基于双金属NPs的合金化程度和配位数参数推导了各种可能的结构模型。我们还基于合金化程度讨论了双金属NPs中同金属和异金属相互作用的性质。在此,我们使用碳负载的铂-钌双金属纳米颗粒来演示所提出的方法,并且这可以进一步扩展以更深入地了解其他双金属体系的合金化程度或原子分布。本文展示的结果开辟了确定双金属NPs原子分布的方法,这是一个极其重要的参数,对NPs的物理化学性质及其应用有强烈影响。

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