Quantification of X-ray photoelectron spectroscopy (XPS) data is often limited by the heterogeneous nature of the material surface. However, it is often the case that heterogeneous material contains areas within the analyzed area that are effectively homogeneous. In this Insight note, concepts, and methods used to analyze both XPS data are presented to extract both spatial and spectral information from heterogeneous surfaces. These concepts and methods are applied to a specific material surface that contains three chemical compounds separated spatially. The analysis entails converting XPS image data to spectral data and is designed to highlight the potential of XPS imaging in revealing compositional information correlation with spatial information. Properties of algorithms used to evaluate XPS images and spectra are described to outline their application to image data. A case study of an imaging XPS data set is presented that demonstrates how poor signal-to-noise images, where the signal is recorded for 4 s per image, are still open to analysis yielding useful information. Ultimately, the methods presented here will aid in interpreting complex XPS data obtained from spatially complex materials often obtained during extensive cycling, such as conventional or electrocatalysts.
机构:
North Carolina State Univ, Analyt Instrumentat Facil, Raleigh, NC 27695 USANorth Carolina State Univ, Analyt Instrumentat Facil, Raleigh, NC 27695 USA
Stevie, Fred A.
Donley, Carrie L.
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机构:
Univ N Carolina, Chapel Hill Analyt & Nanofabricat Lab, Chapel Hill, NC 27599 USANorth Carolina State Univ, Analyt Instrumentat Facil, Raleigh, NC 27695 USA
Donley, Carrie L.
JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A,
2020,
38
(06):