Issue 13, 2022, Issue in Progress

Prospect of making XPS a high-throughput analytical method illustrated for a CuxNi1−xOy combinatorial material library

Abstract

Combinatorial material science crucially depends on robust, high-throughput characterization methods. While X-ray photoelectron spectroscopy (XPS) may provide detailed information about chemical and electronic properties, it is a time-consuming technique and, therefore, is not viewed as a high-throughput method. Here we present preliminary XPS data of 169 measurement spots on a combinatorial 72 × 72 cm2 CuxNi1−xOy compositional library to explore how characterization and evaluation routines can be optimized to improve throughput in XPS for combinatorial studies. In particular, two quantification approaches are compared. We find that a simple integration (of XPS peak regions) approach is suited for fast evaluation of, in the example system, the [Cu]/([Cu] + [Ni]) ratio. Complementary to that, the time-consuming (XPS peak-) fit approach provides additional insights into chemical speciation and oxidation state changes, without a large deviation of the [Cu]/([Cu] + [Ni]) ratio. This insight suggests exploiting the fast integration approach for ‘real time’ analysis during XPS data collection, paving the way for an ‘on-the-fly’ selection of points of interest (i.e., areas on the sample where sudden composition changes have been identified) for detailed XPS characterization. Together with the envisioned improvements when going from laboratory to synchrotron-based excitation sources, this will shorten the analysis time sufficiently for XPS to become a realistic characterization option for combinatorial material science.

Graphical abstract: Prospect of making XPS a high-throughput analytical method illustrated for a CuxNi1−xOy combinatorial material library

Supplementary files

Article information

Article type
Paper
Submitted
20 Dec 2021
Accepted
22 Feb 2022
First published
11 Mar 2022
This article is Open Access
Creative Commons BY license

RSC Adv., 2022,12, 7996-8002

Prospect of making XPS a high-throughput analytical method illustrated for a CuxNi1−xOy combinatorial material library

L. C. W. Bodenstein-Dresler, A. Kama, J. Frisch, C. Hartmann, A. Itzhak, R. G. Wilks, D. Cahen and M. Bär, RSC Adv., 2022, 12, 7996 DOI: 10.1039/D1RA09208A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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