Surface science insight note: Imaging X‐ray photoelectron spectroscopy

Fernandez, Vincent, Fairley, Neal, Morgan, David ORCID: https://orcid.org/0000-0002-6571-5731, Bargiela, Pascal and Baltrusaitis, Jonas 2024. Surface science insight note: Imaging X‐ray photoelectron spectroscopy. Surface and Interface Analysis 56 (10) , pp. 669-680. 10.1002/sia.7337

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Abstract

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Chemistry
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by-nc/4.0/
Publisher:	Wiley
ISSN:	0142-2421
Date of First Compliant Deposit:	29 May 2024
Date of Acceptance:	16 May 2024
Last Modified:	05 Nov 2024 13:55
URI:	https://orca.cardiff.ac.uk/id/eprint/169256

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