Nanoscale probing of bandgap states on oxide particles using electron energy-loss spectroscopy

Qianlang Liu, Katia March, Peter Crozier

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Surface and near-surface electronic states were probed with nanometer spatial resolution in MgO and TiO2 anatase nanoparticles using ultra-high energy resolution electron energy-loss spectroscopy (EELS) coupled to a scanning transmission electron microscope (STEM). This combination allows the surface electronic structure determined with spectroscopy to be correlated with nanoparticle size, morphology, facet etc. By acquiring the spectra in aloof beam mode, radiation damage to the surface can be significantly reduced while maintaining the nanometer spatial resolution. MgO and TiO2 showed very different bandgap features associated with the surface/sub-surface layer of the nanoparticles. Spectral simulations based on dielectric theory and density of states models showed that a plateau feature found in the pre-bandgap region in the spectra from (100) surfaces of 60 nm MgO nanocubes is consistent with a thin hydroxide surface layer. The spectroscopy shows that this hydroxide species gives rise to a broad filled surface state at 1.1 eV above the MgO valence band. At the surfaces of TiO2 nanoparticles, pronounced peaks were observed in the bandgap region, which could not be well fitted to defect states. In this case, the high refractive index and large particle size may make Cherenkov or guided light modes the likely causes of the peaks.

Original languageEnglish (US)
Pages (from-to)2-11
Number of pages10
JournalUltramicroscopy
Volume178
DOIs
StatePublished - Jul 1 2017

Keywords

  • Bandgap states
  • Dielectric property
  • Electronic structure
  • Nanoparticle
  • Surface states

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Instrumentation

Fingerprint Dive into the research topics of 'Nanoscale probing of bandgap states on oxide particles using electron energy-loss spectroscopy'. Together they form a unique fingerprint.

  • Cite this