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  Characterizing Graphitic Carbon with X-ray Photoelectron Spectroscopy: A Step-by-Step Approach

Blume, R., Rosenthal, D., Tessonnier, J.-P., Li, H., Knop-Gericke, A., & Schlögl, R. (2015). Characterizing Graphitic Carbon with X-ray Photoelectron Spectroscopy: A Step-by-Step Approach. ChemCatChem, 7(18), 2871-2881. doi:10.1002/cctc.201500344.

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 Creators:
Blume, Raoul1, Author
Rosenthal, Dirk2, Author           
Tessonnier, Jean-Philippe3, Author
Li, Henan2, Author           
Knop-Gericke, Axel2, Author           
Schlögl, Robert2, Author           
Affiliations:
1Abt. Solarenergieforschung, Helmhotz-Zentrum Berlin, ou_persistent22              
2Inorganic Chemistry, Fritz Haber Institute, Max Planck Society, ou_24023              
32138 Dpt. Of Chemical and Biological Engineering, Iowa State University, Ames, Iowa 50011 (United States), ou_persistent22              

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Free keywords: carbon; graphene; graphite; nanotubes; photoelectron spectroscopy
 Abstract: X-ray photoelectron spectroscopy (XPS) is a widely used technique for characterizing the chemical and electronic properties of highly ordered carbon nanostructures, such as carbon nanotubes and graphene. However, the analysis of XPS data—in particular the C 1s region—can be complex, impeding a straightforward evaluation of the data. In this work, an overview of extrinsic and intrinsic effects that influence the C 1s XPS spectra—for example, photon broadening or carbon–catalyst interaction—of various graphitic samples is presented. Controlled manipulation of such samples is performed by annealing, sputtering, and oxygen functionalization to identify different C[BOND]C bonding states and assess the impact of the manipulations on spectral line shapes and their binding energy positions. With high-resolution XPS and XPS depth profiling, the spectral components arising from disordered carbon and surface-defect states can be distinguished from aromatic sp-2 carbon. These findings illustrate that both spectral line shapes and binding energy components must be considered in the analysis of potentially defective surfaces of carbon materials. The sp-2 peak, characteristic of aromatic carbon, features a strong asymmetry that changes with the curvature of the sample surface and, thus, cannot be neglected in spectral analysis. The applied deconvolution strategy may provide a simple guideline to obtaining high-quality fits to experimental data on the basis of a careful evaluation of experimental conditions, sample properties, and the limits of the fit procedure.

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Language(s): eng - English
 Dates: 2015-03-312015-07-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/cctc.201500344
 Degree: -

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Title: ChemCatChem
  Other : ChemCatChem
Source Genre: Journal
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Publ. Info: Weinheim : Wiley-VCH
Pages: 11 Volume / Issue: 7 (18) Sequence Number: - Start / End Page: 2871 - 2881 Identifier: ISSN: 1867-3880
CoNE: https://pure.mpg.de/cone/journals/resource/1867-3880