利用原子层沉积调控Pt-氧化物界面结构

金属-氧化物界面结构强烈地影响多相催化剂的性能。然而，如何精确地调控界面结构，使其得到充分利用，成为本领域研究的难点。本项目拟以肉桂醛选择性加氢反应作为模型反应，利用原子层沉积（ALD）技术的优势，在原子层级别调控Pt-氧化物界面结构。利用ALD技术对Pt粒子表面进行氧化物修饰，制备出倒载催化剂，调控氧化物对Pt粒子的覆盖程度，获得最大化的Pt-氧化物界面结构；并且首次提出利用ALD技术制备氧化物纳米管限域的Pt基催化剂，研究限域体系内界面结构对催化性能的影响。系统研究并建立催化剂界面结构与催化性能之间的构效关系，探索充分利用金属-氧化物界面结构的新方法。本项目的研究将深化对金属-氧化物界面和金属-载体间相互作用的认识，为高效纳米催化剂的设计构建提供依据。

The metal-oxide interfaces strongly affect catalytic performance. However, how to tailor the interfaces to be fully utilized becomes a difficulty in this research area. Here we propose to tailor the Pt-oxide interfaces on an atomic level by atomic layer deposition (ALD). The selective hydrogenation of cinnamaldehyde is chosen as the model reaction. The oxide-on-metal inverse catalysts will be prepared to increase the density of metal-oxide interfaces through depositing metal oxide onto Pt nanoparticles by ALD. The coverage of metal oxide on Pt nanoparticles can be tuned to maximize Pt-oxide interfacial sites. And we first propose the preparing of Pt-based catalysts confined in oxide nanotubes by ALD, to investigate the effects of interfaces on the catalytic performance in the confined catalyst system. We will study the relationships between the interfaces and catalytic performance, and explore new ways of fully utilization of the interfaces. These studies will deepen the understandings of the metal-oxide interfaces and the metal-support interactions, and provide theoretical foundations for the design and assembly of highly efficient nano-catalysts.