Zeolite catalysts are used for a wide range of industrial and environmental applications. The reaction properties of zeolites depend on the local compositions and structures of the nanoporous channels and the cations that charge-balance the anionic zeolite framework. For example, small pore (0.4 nm) chabazite-type materials are used for methanol-to-hydrocarbon conversion in the H
+-form and selective catalytic reduction of NO
x in the Cu
2+-form. Reaction properties of these catalysts, including hydrothermal stability and product selectivity, depend on the distributions of Al heteroatoms in the zeolite framework, particularly âpairedâ Al heteroatoms separated by 1-3 O-Si-O linkages.
1 Recent work has suggested that the fraction of âpairedâ Al heteroatoms in aluminosilicate chabazite can be influenced by judicious selection of structure-directing agents during synthesis.
2 However, direct atomic-level evidence for these paired framework Al sites has been challenging to obtain, along with their effects on cation distributions and catalytic reaction properties.
Solid-state NMR is a powerful means of probing the nanoscale proximities of zeolite framework moieties and their interactions with exchangeable cations or adsorbed species in the zeolite nanopores.3 Through a combination of 2D 27Al{29Si} and 29Si{29Si} through-bond NMR correlation experiments, we have obtained direct evidence of âpairedâ framework Al atoms in aluminosilicate chabazite zeolite catalysts. Furthermore, 27Al{1H} and 23Na{1H} NMR experiments provide insight into the interactions between the organic structure-directing agents and the framework that promote the formation of paired Al configurations. These atomic-level insights are correlated with methanol-to-hydrocarbon reaction results over aluminosilicate chabazite to demonstrate that different distributions of framework Al affect the catalytic properties of the material.
References:
- Deimund, et al., ACS Catalysis 6, 542â550 (2016).
- di Iorio, & Gounder, Chemistry of Materials 28, 2236â2247 (2016).
- Li, S. et al., Advanced Materials 32, 2002879 (2020).