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Prospect of making XPS a high-throughput analytical method illustrated for a Cu(x)Ni(1−x)O(y) combinatorial material library

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-throu...

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Autores principales: Bodenstein-Dresler, Lucas C. W., Kama, Adi, Frisch, Johannes, Hartmann, Claudia, Itzhak, Anat, Wilks, Regan G., Cahen, David, Bär, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982450/
https://www.ncbi.nlm.nih.gov/pubmed/35424741
http://dx.doi.org/10.1039/d1ra09208a
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author Bodenstein-Dresler, Lucas C. W.
Kama, Adi
Frisch, Johannes
Hartmann, Claudia
Itzhak, Anat
Wilks, Regan G.
Cahen, David
Bär, Marcus
author_facet Bodenstein-Dresler, Lucas C. W.
Kama, Adi
Frisch, Johannes
Hartmann, Claudia
Itzhak, Anat
Wilks, Regan G.
Cahen, David
Bär, Marcus
author_sort Bodenstein-Dresler, Lucas C. W.
collection PubMed
description 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 cm(2) Cu(x)Ni(1−x)O(y) 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.
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spelling pubmed-89824502022-04-13 Prospect of making XPS a high-throughput analytical method illustrated for a Cu(x)Ni(1−x)O(y) combinatorial material library Bodenstein-Dresler, Lucas C. W. Kama, Adi Frisch, Johannes Hartmann, Claudia Itzhak, Anat Wilks, Regan G. Cahen, David Bär, Marcus RSC Adv Chemistry 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 cm(2) Cu(x)Ni(1−x)O(y) 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. The Royal Society of Chemistry 2022-03-11 /pmc/articles/PMC8982450/ /pubmed/35424741 http://dx.doi.org/10.1039/d1ra09208a Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Bodenstein-Dresler, Lucas C. W.
Kama, Adi
Frisch, Johannes
Hartmann, Claudia
Itzhak, Anat
Wilks, Regan G.
Cahen, David
Bär, Marcus
Prospect of making XPS a high-throughput analytical method illustrated for a Cu(x)Ni(1−x)O(y) combinatorial material library
title Prospect of making XPS a high-throughput analytical method illustrated for a Cu(x)Ni(1−x)O(y) combinatorial material library
title_full Prospect of making XPS a high-throughput analytical method illustrated for a Cu(x)Ni(1−x)O(y) combinatorial material library
title_fullStr Prospect of making XPS a high-throughput analytical method illustrated for a Cu(x)Ni(1−x)O(y) combinatorial material library
title_full_unstemmed Prospect of making XPS a high-throughput analytical method illustrated for a Cu(x)Ni(1−x)O(y) combinatorial material library
title_short Prospect of making XPS a high-throughput analytical method illustrated for a Cu(x)Ni(1−x)O(y) combinatorial material library
title_sort prospect of making xps a high-throughput analytical method illustrated for a cu(x)ni(1−x)o(y) combinatorial material library
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982450/
https://www.ncbi.nlm.nih.gov/pubmed/35424741
http://dx.doi.org/10.1039/d1ra09208a
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