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A theoretical characterization method for non-spherical core-shell nanoparticles by XPS.

J M Gong1,2,3, M S S Khan4, B Da2

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This study extends the Shard formula to accurately measure shell thickness in non-spherical core-shell nanoparticles using Monte Carlo simulations. The new formula reduces prediction errors to under 10% for complex nanoparticle shapes.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Surface Science

Background:

  • Core-shell nanoparticles (NPs) are crucial for diverse applications, with properties influenced by composition and size.
  • X-ray photoelectron spectroscopy (XPS) is vital for analyzing NP composition and structure.
  • Existing models for shell thickness calculation, like Shard's formula, primarily apply to ideal spherical NPs.

Purpose of the Study:

  • To adapt and extend the Shard formula for accurate shell thickness determination in non-ideal, non-spherical core-shell nanoparticles.
  • To investigate the impact of various non-spherical shapes and sizes on XPS analysis of core-shell NPs.
  • To develop a reliable method for quantifying shell thickness in complex NP morphologies.

Main Methods:

  • Utilized Monte Carlo simulations to model XPS signal variations for various non-spherical core-shell NP shapes.
  • Modeled five distinct non-spherical shapes: egg, ellipsoid, rod, rough-surface, and star.
  • Introduced concepts of equivalent radius and equivalent thickness to characterize average NP size for formula application.

Main Results:

  • Developed an extended Shard formula applicable to non-ideal core-shell NPs.
  • Demonstrated that the extended formula can reduce the relative error in shell thickness prediction to less than 10%.
  • Validated the formula's effectiveness across a range of non-spherical geometries and sizes.

Conclusions:

  • The extended Shard formula provides a more accurate method for determining shell thickness in irregularly shaped core-shell nanoparticles.
  • This advancement enhances the quantitative analysis capabilities of XPS for complex nanomaterials.
  • The findings are significant for the precise characterization and application of functional core-shell NPs.