Chen Junnan, Quan Xueping, Lu Ming, Niu Yiming, Zhang Bingsen
Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China; School of Materials Science and Engineering, University of Science and Technology of China, Shenyang 110016, China.
Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China.
Ultramicroscopy. 2020 Aug;215:113006. doi: 10.1016/j.ultramic.2020.113006. Epub 2020 May 11.
Nonmetallic heteroatoms found in carbon nanomaterials act as active sites and exhibit excellent catalytic performance. Owing to structural complexity and the limitations of characterization technology, the identification of active sites in nanocarbon is challenging and controversial. Electron energy-loss spectroscopy is an electron microscope technique with high spatial resolution and a powerful tool for identifying the arrangement of heteroatoms. However, structural information regarding the configuration and distribution of heteroatoms is difficult to obtain using existing analytical methods. Herein, we have developed a method for the quantitative analysis of electron energy-loss near-edge structures to identify accurately nitrogen species in nanocarbon. Based on this approach, the relative amounts of nitrogen species were obtained from linear regression with calculated spectra. The concentration distribution of nanocarbon obtained by this method was consistent with the result of X-ray photoelectron spectroscopy analysis at different depths. Therefore, this fitting method can be used for the quantitative analysis of nitrogen K-edge structures. This provides a new strategy for studying the structure-activity relationships of carbon-based materials and the further design of custom nanocarbon catalysts with high active site densities.
碳纳米材料中发现的非金属杂原子作为活性位点,表现出优异的催化性能。由于结构复杂性和表征技术的局限性,纳米碳中活性位点的识别具有挑战性且存在争议。电子能量损失谱是一种具有高空间分辨率的电子显微镜技术,是识别杂原子排列的有力工具。然而,使用现有分析方法难以获得有关杂原子构型和分布的结构信息。在此,我们开发了一种用于电子能量损失近边结构定量分析的方法,以准确识别纳米碳中的氮物种。基于此方法,通过与计算光谱的线性回归获得氮物种的相对含量。通过该方法获得的纳米碳浓度分布与不同深度的X射线光电子能谱分析结果一致。因此,这种拟合方法可用于氮K边结构的定量分析。这为研究碳基材料的构效关系以及进一步设计具有高活性位点密度的定制纳米碳催化剂提供了新策略。