Suppr超能文献

稳定在硫醇官能化的MIL-53(Al)骨架上的尺寸可控的银纳米颗粒。

Size-controlled silver nanoparticles stabilized on thiol-functionalized MIL-53(Al) frameworks.

作者信息

Cheng Xinquan, Liu Min, Zhang Anfeng, Hu Shen, Song Chunshan, Zhang Guoliang, Guo Xinwen

机构信息

State Key Laboratory of Fine Chemicals, PSU-DUT Joint Center for Energy Research, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, P. R. China.

出版信息

Nanoscale. 2015 Jun 7;7(21):9738-45. doi: 10.1039/c5nr01292a.

Abstract

A postsynthetic modification method was used to prepare thiol-functionalized metal-organic frameworks (MOFs) by the amidation of mercaptoacetic acid with the amine group, which is present in the frameworks of NH2-MIL-53(Al). By doing this, the thiol group has been successfully grafted on the MOF, which perfectly combined the highly developed pore structures of the MOF with the strong coordination ability of the thiol group. The resulting thiol-functionalized MIL-53(Al) showed a significantly high adsorption capacity for heavy metal ions like Ag(+) (182.8 mg g(-1)). Even more importantly, these grafted thiol groups can be used as anchoring groups for stabilizing metal nanoparticles (NPs) with controllable sizes. Taking silver as an example, monodispersed Ag NPs encapsulated in the cages of MIL-53(Al) have been prepared by using a two-step procedure. In addition, the particle size of the Ag NPs was adjustable to some extent by controlling the initial loading amount. The average size of the smallest Ag NPs is 3.9 ± 0.9 nm, which is hard to obtain for Ag NPs because of their strong tendency to aggregate.

摘要

采用一种后合成修饰方法,通过巯基乙酸与NH2-MIL-53(Al)骨架中存在的胺基进行酰胺化反应,制备了硫醇功能化金属有机框架材料(MOFs)。通过这种方式,硫醇基团已成功接枝到MOF上,这完美地将MOF高度发达的孔结构与硫醇基团的强配位能力结合在一起。所得的硫醇功能化MIL-53(Al)对Ag(+)等重金属离子表现出显著的高吸附容量(182.8 mg g(-1))。更重要的是,这些接枝的硫醇基团可用作锚定基团,用于稳定尺寸可控的金属纳米颗粒(NPs)。以银为例,通过两步法制备了封装在MIL-53(Al)笼中的单分散Ag NPs。此外,通过控制初始负载量,Ag NPs的粒径在一定程度上是可调节的。最小的Ag NPs的平均尺寸为3.9±0.9 nm,由于Ag NPs强烈的聚集倾向,这是很难获得的。

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