Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California, 2575 Sand Hill Road, Menlo Park, California 94025, USA.
Inorganic Chemistry and Catalysis group, Debye Institute for Nanomaterials Science, Utrecht University, Utrecht, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands.
Nat Commun. 2016 Aug 30;7:12634. doi: 10.1038/ncomms12634.
To understand how hierarchically structured functional materials operate, analytical tools are needed that can reveal small structural and chemical details in large sample volumes. Often, a single method alone is not sufficient to get a complete picture of processes happening at multiple length scales. Here we present a correlative approach combining three-dimensional X-ray imaging techniques at different length scales for the analysis of metal poisoning of an individual catalyst particle. The correlative nature of the data allowed establishing a macro-pore network model that interprets metal accumulations as a resistance to mass transport and can, by tuning the effect of metal deposition, simulate the response of the network to a virtual ageing of the catalyst particle. The developed approach is generally applicable and provides an unprecedented view on dynamic changes in a material's pore space, which is an essential factor in the rational design of functional porous materials.
为了了解层次结构功能材料的工作原理,需要使用分析工具来揭示大样品体积中的微小结构和化学细节。通常,仅使用单一方法不足以全面了解在多个长度尺度上发生的过程。在这里,我们提出了一种相关方法,将不同长度尺度的三维 X 射线成像技术结合起来,用于分析单个催化剂颗粒的金属中毒。数据的相关性允许建立一个宏观孔网络模型,将金属积累解释为对质量传输的阻力,并通过调整金属沉积的效果来模拟网络对催化剂颗粒虚拟老化的响应。所开发的方法具有普遍适用性,并为材料孔空间的动态变化提供了前所未有的视角,这是合理设计功能多孔材料的一个重要因素。