Oxide-supported
copper nanoparticles exhibit promising properties
as catalysts for the selective hydrogenation of CO2 to
methanol. Both reaction rate and selectivity depend conspicuously
on the nature of the oxide support/promoter at the metal periphery.
However, a major challenge is the achievement of a quantitative description
of such metal/oxide promotion effects, which is an essential step
toward a rational catalyst design. We investigate structure–performance
relationships with a series of model catalysts consisting of Cu nanoparticles
dispersed on a mesoporous γ-Al2O3 carrier
overlaid with different transition metal oxides spanning a broad range
of Lewis acidity (YO
x
, ScO
x
, ZrO
x
, TaO
x
). Remarkably, the apparent activation energy (E
a) for methanol formation is found to downscale
linearly with the relative Lewis acidity of coordinatively unsaturated
metal surface sites (cus) exposed on the oxide support,
making this single physicochemical parameter a suitable reactivity
descriptor in the whole study space. In correspondence with this performance
trend, in situ Fourier transform infrared spectroscopy reveals that
both the ionic character and the relative reactivity of bidentate
formate species, developed on the catalyst surface under reaction
conditions, vary systematically with the surface Lewis acidity of
the oxide support. These findings support the involvement of oxide-adsorbed
bidentate formate species as reaction intermediates and point to the
relative electron-accepting character of the Lewis cus on the oxide surface as the factor determining the stability of
these intermediates and the overall energy barrier for the reaction.
Our results contribute a unifying and quantitative description for
support effects in CO2 hydrogenation to methanol on oxide-supported
copper nanoparticles and provide a blueprint for a predictive description
of metal-oxide promotion effects, which are ubiquitous in heterogeneous
catalysis.