Surface restructuring of Pt films on Au stepped surfaces: effects on catalytic behaviour

文献情報

出版日 2013-07-03

DOI 10.1039/C3CP51513C

インパクトファクター 3.676

著者

Mauricio J. Prieto, Germano Tremiliosi-Filho

原文を見る

要旨

In this paper, the reconstruction of Pt films deposited on stepped Au(hkl) surfaces belonging to the [n(111) × (110)] family of planes has been studied. Pt films were deposited using the galvanic displacement procedure of a pre-deposited Cu monolayer. We experimentally found that the Pt film deposition onto Au(hkl) surfaces is not fully epitaxial suggesting an atomic arrangement different from the underlying substrate. Additionally, we found that even though voltammetric profiles are not much different from those reported in the literature for Pt single crystals having the same crystallographic orientation, there is a reconstruction of the Pt layers on all Pt/Au(hkl) surfaces upon CO adsorption/oxidation as indicated by comparing the active areas of the Pt films before and after stripping. Additional FTIR in situ experiments on ethanol oxidation confirm that film reconstruction affects the reaction by product yield modification.

掲載誌

Physical Chemistry Chemical Physics

CiteScore: 5.5

自己引用率: 10.3%

年間論文数: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.