MgAl2O4-supported Ni materials are highly active and cost-effective CO2 conversion catalysts, yet their oxidation by CO2 remains dubious. Herein, NiO/MgAl2O4, prepared via colloidal synthesis (10 wt % Ni) to limit size distribution, or wet impregnation (5, 10, 20, and 40 wt % Ni), and bare, i.e., unsupported, NiO are examined in H2 reduction and CO2 oxidation, using thermal conductivity detector-based measurements and in situ quick X-ray absorption spectroscopy, analyzed via multivariate curve resolution-alternating least-squares. Ni reoxidation does not occur for bare Ni but is observed solely on supported materials. Only samples with the smallest particle sizes get fully reoxidized. The Ni-MgAl2O4 interface, exhibiting metal–support interactions, activates CO2 and channels oxygen into the reduced lattice. Oxygen diffuses inward, away from the interface, oxidizing Ni entirely or partially, depending on the particle size in the applied oxidation time frame. This work provides evidence for Ni oxidation by CO2 and explores the conditions of its occurrence and the importance of metal–support effects.

No abstract

Modulation excitation (ME) with phase-sensitive detection (PSD) is an emerging strategy to selectively characterize catalytic species that actively participate in a chemical reaction. The commonly applied square-wave (SW) modulations, however, contain a limited frequency content, impeding rigorous kinetic analysis of short-lived reaction intermediates through PSD analysis by considering higher-order harmonics. To overcome this bottleneck, a “modulation engineering” approach is designed, whereby stimulation shapes with a complementary frequency content are superposed onto a base modulation, thus subjecting the system to a more complex frequency pattern in a single experiment. Building on practical and mathematical considerations, this design scheme’s feasibility is demonstrated using a superposition of SW and rectangular wave stimulations, applied to H2/CO2 concentration modulation-excitation X-ray absorption spectroscopy of a Ni/MgFeAlO4 methane dry reforming (DRM) catalyst at the Fe and Ni K edge. Under redox conditions, PSD evidences Ni ↔ Ni2+ and Fe0 ↔ Fe2+ ↔ Fe3+ redox events, wherein Fe2+ ↔ Fe3+ transitions exhibit faster kinetics, adding insight into this material’s redox functionalities under DRM conditions. This approach is extendable to other ME-based characterization techniques and provides a general, time-efficient framework to expand the transient kinetic insights that can be obtained for catalytic systems through ME with PSD.

Supported nanoparticles are commonly applied in heterogeneous catalysis. The catalytic performance of these solid catalysts is, for a given support, dependent on the nanoparticle size, shape, and composition, thus necessitating synthesis techniques that allow for preparing these materials with fine control over those properties. Such control can be exploited to deconvolute their effects on the catalyst’s performance, which is the basis for knowledge-driven catalyst design. In this regard, bottom-up synthesis procedures based on colloidal chemistry or atomic layer deposition (ALD) have proven successful in achieving the desired level of control for a variety of fundamental studies. This review aims to give an account of recent progress made in the two aforementioned synthesis techniques for the application of controlled catalytic materials in gas-phase catalysis. For each technique, the focus goes to mono- and bimetallic materials, as well as to recent efforts in enhancing their performance by embedding colloidal templates in porous oxide phases or by the deposition of oxide overlayers via ALD. As a recent extension to the latter, the concept of area-selective ALD for advanced atomic-scale catalyst design is discussed.

No abstract