Literature DB >> 26497843

Identifying the Atomic-Level Effects of Metal Composition on the Structure and Catalytic Activity of Peptide-Templated Materials.

Nicholas A Merrill1, Erik M McKee1, Kyle C Merino1, Lawrence F Drummy2, Sungsik Lee3, Benjamin Reinhart3, Yang Ren3, Anatoly I Frenkel4, Rajesh R Naik2, Nicholas M Bedford1,2,5, Marc R Knecht1.   

Abstract

Bioinspired approaches for the formation of metallic nanomaterials have been extensively employed for a diverse range of applications including diagnostics and catalysis. These materials can often be used under sustainable conditions; however, it is challenging to control the material size, morphology, and composition simultaneously. Here we have employed the R5 peptide, which forms a 3D scaffold to direct the size and linear shape of bimetallic PdAu nanomaterials for catalysis. The materials were prepared at varying Pd:Au ratios to probe optimal compositions to achieve maximal catalytic efficiency. These materials were extensively characterized at the atomic level using transmission electron microscopy, extended X-ray absorption fine structure spectroscopy, and atomic pair distribution function analysis derived from high-energy X-ray diffraction patterns to provide highly resolved structural information. The results confirmed PdAu alloy formation, but also demonstrated that significant surface structural disorder was present. The catalytic activity of the materials was studied for olefin hydrogenation, which demonstrated enhanced reactivity from the bimetallic structures. These results present a pathway to the bioinspired production of multimetallic materials with enhanced properties, which can be assessed via a suite of characterization methods to fully ascertain structure/function relationships.

Entities:  

Keywords:  X-ray analysis; bimetallic nanostructures; bioinspired; catalysis; peptide templates

Mesh:

Substances:

Year:  2015        PMID: 26497843     DOI: 10.1021/acsnano.5b04665

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  2 in total

1.  Reverse Monte Carlo modeling for local structures of noble metal nanoparticles using high-energy XRD and EXAFS.

Authors:  Masafumi Harada; Risa Ikegami; Loku Singgappulige Rosantha Kumara; Shinji Kohara; Osami Sakata
Journal:  RSC Adv       Date:  2019-09-18       Impact factor: 3.361

2.  Peptide-directed Pd-decorated Au and PdAu nanocatalysts for degradation of nitrite in water.

Authors:  Imann Mosleh; Alireza Abbaspourrad
Journal:  RSC Adv       Date:  2021-10-05       Impact factor: 3.361

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.