posted on 2020-05-28, 13:35authored byVera P. Pakharukova, Dmitry A. Yatsenko, Evgeny Yu Gerasimov, Evgenia Vlasova, Galina A. Bukhtiyarova, Sergey V. Tsybulya
High
dispersion and low degree of crystallinity of supported MoS2 nanoparticles have almost excluded the conventional X-ray
diffraction (XRD) analysis from a range of physical methods for the
characterization of molybdenum-based hydrotreating catalysts. High-resolution
transmission electron microscopy (HRTEM) remains a powerful and preferred
technique for obtaining information on the dispersion of supported
MoS2 nanoparticles and stacking degree of MoS2 slabs. Here, we report a new approach to study the supported MoS2 nanoparticles in catalysts on the basis of XRD data. Alumina-supported
MoS2 catalysts were investigated by means of the Debye
function analysis (DFA) applied to the XRD data obtained using the
conventional laboratory equipment. Through a direct simulation of
XRD profiles by the DFA technique, structural information is extracted
from both Bragg and diffuse scattering. We demonstrate that it is
possible to determine the average size of coherently scattering MoS2 crystallites, crystallite size distribution, as well as average
number of stacked layers in the MoS2 particles from the
XRD data. Compared to the widely used HRTEM study, the DFA analysis
underestimates the MoS2 particle size due to structural
defects. The significant discrepancy between the XRD and HRTEM data
serves as an indicator of abundant defects causing a multidomain structure
of MoS2 particles. It is shown that HRTEM and XRD data
complement each other by providing information on the MoS2 dispersion at different levels of particle organization.