Curve fitting complex X-ray photoelectron spectra of graphite-supported copper nanoparticles using informed line shapes

• Published in: Applied surface science Vol. 505; no. C; p. 143841
• Main Authors: Fernandez, Vincent, Kiani, Daniyal, Fairley, Neal, Felpin, François-Xavier, Baltrusaitis, Jonas
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.03.2020; Elsevier
• Subjects: Condensed Matter; Copper nanoparticles; Data driven spectral analysis; Graphite; Materials Science; Physics; Spectral envelope; X-ray photoelectron spectroscopy; Spectral envelope; Data driven spectral analysis; X-ray photoelectron spectroscopy; Copper nanoparticles; Graphite; X-ray photoelectron spectroscopy spectral envelope copper nanoparticles, graphite, data driven spectral analysis; copper nanoparticles, graphite, data driven spectral analysis
• ISSN: 0169-4332; 1873-5584
• DOI: 10.1016/j.apsusc.2019.143841

Complex spectral envelopes of transition metal photo-excitations obtained using X-ray Photoelectron Spectroscopy (XPS) contain extensive information on the oxidation states and chemical bonding but pose multiple challenges for extracting reliable data due to the presence of multiple closely lying binding energy peaks. In this work, we outlined a procedure for graphite supported copper nanoparticles (Cu NP/graphite) XPS data interpretation that involves constructing spectral envelopes of the potential copper components (Cu2O, CuO and Cu(OH)2) extracted from the diverse set of Cu NP/graphite samples and using Linear Least Squares (LLS) fitting to reconstruct the exact surface composition of Cu NP/graphite samples. We utilized Informed Amorphous Sample Model (IASM) to calculate spectral envelopes using a physical process affecting the series of Cu NP/graphite samples, namely their synthesis procedure, to construct an informed line shape necessary to complete data reproduction by the model. The method described herein can be used to interpret crucial XPS data obtained in many science and engineering disciplines, including chemistry, fundamental and applied surface science, catalysis, semiconductors and many others. A brief discussion is also provided on the opportunities and pitfalls of deriving standard model line shapes from user sourced online databases. [Display omitted] •We analyzed and modeled spectral envelopes of complex graphite supported Cu nanoparticles.•Copper nanoparticles of varying composition were synthesized.•Cu2O, CuO and Cu(OH)2 line shapes from experimental data were created.•Informed amorphous sample model(IASM) utilized•Complex Cu NP XPS envelopes were interpreted.