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Advantages of coincident XPS-Raman in the analysis of mineral oxide species

Applications | 2022 | Thermo Fisher ScientificInstrumentation
RAMAN Spectroscopy, X-ray
Industries
Materials Testing
Manufacturer
Thermo Fisher Scientific

Summary

Significance of Topic


Coadaptation of X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy into a single platform addresses a longstanding challenge in materials analysis: ensuring data from both techniques originate from the exact same region of a sample. This combined approach enhances confidence in surface composition, molecular structure identification, and quantitative analysis, particularly for nonuniform mineral oxides used in catalysis, photovoltaics, biomineralization, and geological studies.

Study Objectives and Overview


This application note evaluates the capabilities of coincident XPS-Raman analysis using calcium carbonate (CaCO₃) polymorphs (calcite, aragonite) and titanium dioxide (TiO₂) polymorphs (anatase, rutile) as model systems. The aims were to demonstrate:
  • Simultaneous acquisition of surface chemical and vibrational data.
  • Reliable distinction and quantification of polymorphic phases.
  • Minimized sample handling and improved analytical throughput.

Methodology and Instrumentation


Surveys and high-resolution XP spectra (C 1s, O 1s, Ca 2p or Ti 2p, valence band) were acquired under ultrahigh vacuum. Surface contamination was removed in situ by argon gas cluster sputtering (Ar₁₀₀₀⁺ or Ar₂₀₀₀⁺). Raman spectra were collected from the same spot before and after cleaning. Quantitative phase analysis in TiO₂ mixtures employed nonlinear least-squares fitting of characteristic Raman bands.
  • Theta Probe ARXPS System (Thermo Scientific)
  • DXR3 Flex Raman Spectrometer with coincident alignment
  • MAGCIS Monatomic and Gas Cluster Ion Source

Key Findings and Discussion


CaCO₃ polymorphs: XPS effectively quantified elemental stoichiometry and confirmed removal of silicon, sodium, and aliphatic carbon contaminants. However, XPS alone could not discriminate calcite versus aragonite. Raman spectra exhibited distinct lattice-mode patterns: aragonite’s lower symmetry produced multiple peaks below 300 cm⁻¹, enabling unambiguous identification.

TiO₂ polymorphs: Subtle valence-band differences in XPS made phase quantification challenging. Raman analysis clearly separated anatase (e.g., 142 cm⁻¹ peak) from rutile bands. By referencing pure-phase spectra, mixtures of anatase and rutile were quantified rapidly with high confidence.

Benefits and Practical Applications


  • Guaranteed co-located surface and molecular data without sample transfer.
  • Reduced contamination and handling artifacts.
  • Enhanced throughput for QA/QC in industrial and research settings.
  • Precise phase identification supports formulation studies in catalysis, photovoltaics, biomineral research, and geological analysis.

Future Trends and Opportunities


Integration of additional surface-sensitive techniques (e.g., ToF-SIMS, UV-PES) in a multi-modal platform could further enrich sample characterization. In situ and operando studies under controlled atmospheres or reactive environments will expand applications in catalysis, corrosion, and energy materials. Machine-learning algorithms applied to combined XPS-Raman datasets may automate phase quantification and facilitate rapid decision-making.

Conclusion


Coincident XPS-Raman analysis on the integrated Theta Probe and DXR3 Flex systems offers a powerful workflow for simultaneous surface chemistry and vibrational insights. This approach overcomes limitations of separate instrumentation, improves analytical confidence, and streamlines characterization of complex, multiphase mineral oxides.

Instrument Used


  • Theta Probe Angle-Resolved XPS System
  • DXR3 Flex Raman Spectrometer
  • MAGCIS Monatomic and Gas Cluster Ion Source

References


1. Kontoyannis, C.G.; Vagenas, N.V. Calcium carbonate phase analysis using XRD and FT-Raman spectroscopy. Analyst 2000, 125, 251–255.
2. Addadi, L.; Joester, D.; Nudelman, F.; Weiner, S. Mollusk shell formation: New concepts for understanding biomineralization processes. Chem. Eur. J. 2006, 12, 980–987.
3. White, W.B. The carbonate minerals. In The Infrared Spectra of Minerals; Farmer, V.C., Ed.; Mineralogical Society: London, 1974; Chapter 12, pp. 227–284.

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