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Fernandez, V., Fairley, N., Morgan, D., Bargiela, P. & Baltrusaitis, J. (2024) Surface science insight note: Imaging X-ray photoelectron spectroscopy. Surface and Interface Analysis, 
Added by: Richard Baschera (2024-06-10 10:03:59)   Last edited by: Richard Baschera (2024-06-10 10:07:36)
Type de référence: Article
DOI: 10.1002/sia.7337
Numéro d'identification (ISBN etc.): 1096-9918
Clé BibTeX: Fernandez2024a
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Catégories: IMN, INTERNATIONAL
Mots-clés: heterogeneous, imaging, PCA, signal-to-noise, XPS
Créateurs: Baltrusaitis, Bargiela, Fairley, Fernandez, Morgan
Collection: Surface and Interface Analysis
Consultations : 4/4
Indice de consultation : 16%
Indice de popularité : 4%
Liens URLs     https://onlinelibr ... s/10.1002/sia.7337
Résumé     
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.
  
Notes     
_eprint: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/pdf/10.1002/sia.7337
  
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