Inorganic Chemistry and Catalysis, Utrecht University, Utrecht, The Netherlands.
ChemSusChem. 2011 Jul 18;4(7):957-63. doi: 10.1002/cssc.201000325. Epub 2011 Jan 18.
The efficiency of filling carbon nanotubes (CNTs) by ultrasound-assisted wet impregnation is quantified by electron tomography (ET). For image analysis, a method that combines edge detection with single-value thresholding is proposed and validated. A high proportion (80 wt %) of the ruthenium was deposited inside the tube at an average particle size of 2-4 nm. Particles located on the outer surface of the CNT had a size of 1-3 nm. The local ruthenium loading measured by ET (3.2 wt %) closely matched the value from elemental analysis (3.5 wt %). In addition, a few 1 nm-sized ruthenium particles were detected inside the carbon wall, which contained pores/cracks. Direct imaging and quantification is a powerful tool to understand and possibly model the unique properties of CNT-based catalysts.
通过电子断层扫描（ET）定量研究了超声辅助湿法浸渍填充碳纳米管（CNT）的效率。为了进行图像分析，提出并验证了一种结合边缘检测和单值阈值处理的方法。高比例（80wt%）的钌沉积在管内，平均粒径为 2-4nm。位于 CNT 外表面的颗粒尺寸为 1-3nm。通过 ET 测量的局部钌负载（3.2wt%）与元素分析（3.5wt%）的值非常吻合。此外，在含有孔/裂纹的碳壁内还检测到了几个 1nm 大小的钌颗粒。直接成像和定量分析是理解和可能模拟基于 CNT 的催化剂独特性质的有力工具。
