Z-Contrast Enhancement in Au–Pt Nanocatalysts by Correlative X-ray Absorption Spectroscopy and Electron Microscopy: Implications for Composition Determination
Z-Contrast Enhancement in Au–Pt Nanocatalysts by Correlative X-ray Absorption Spectroscopy and Electron Microscopy: Implications for Composition Determination
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DOI：
10.1021/acsanm.2c00393
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发表时间：
2022-06
影响因子：
5.9
通讯作者：
Yang Liu;Maichong Xie;Nicholas Marcella;Alexandre C. Foucher;E. Stach;Marc R. Knecht;A. Frenkel
中科院分区：
文献类型：
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作者：
Yang Liu;Maichong Xie;Nicholas Marcella;Alexandre C. Foucher;E. Stach;Marc R. Knecht;A. Frenkel
纳米颗粒（BNP）的性质随其组成和尺寸分布而变化很大。X射线吸收精细结构分析通常用于表征它们的结构，但其应用于周期表中彼此接近的元素受到Z对比度差的阻碍。我们训练了一个人工神经网络来识别通过肽模板合成的AuPt NPs中的部分配位数，使用它们的X射线吸收近边结构光谱。这种方法，结合扫描透射电子显微镜分析，揭示了独特的细节，这种原型催化系统，具有不同形式的异质性在两个内和粒子间的水平。我们的方法的基础上增强的Z-对比度的金属物种将有影响的组成研究的BNPs。
The properties of bimetallic nanoparticles (BNPs) vary widely as a function of their composition and size distributions. X-ray absorption fine structure analysis is commonly used to characterize their structure, but its application to elements that are close to each other in the periodic table is hampered by poor Z-contrast. We trained an artificial neural network to recognize the partial coordination numbers in AuPt NPs synthesized via peptide templating using their X-ray absorption near-edge structure spectra. This approach, combined with scanning transmission electron microscopy analysis, revealed unique details of this prototype catalytic system that has different forms of heterogeneities at both the intra- and inter-particle levels. Our method based on the enhancement of Z-contrast of metal species will have implications for compositional studies of BNPs.