A novel approach to quantitative morphology characterization of ceria nanoparticles based on their electron trap distribution patterns and the implications for catalysis

Abstract

The composition of the exposed crystalline facets of ceria particles with characteristic morphologies was quantitatively evaluated to determine their “average” morphology. This was achieved via peak deconvolution of the energy-resolved distribution of the electron traps of the ceria particles, as measured using reversed double-beam photoacoustic spectroscopy. The implications of this facet composition analysis for catalysis are also discussed.