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D'Agostino, Carmine; Feaviour, Mark R.; Brett, Gemma L.; Mitchell, Jonathan; York, Andrew P. E.; Hutchings, Graham J.; Mantle, Mick D.; Gladden, Lynn F. (2016)
Publisher: Royal Society of Chemistry
Languages: English
Types: Article
Subjects: QD
Catalytic reaction studies and nuclear magnetic resonance (NMR) relaxation time measurements have been compared to study the influence of competitive adsorption of reactant and solvent on catalytic conversion. The reaction chosen is the aerobic catalytic oxidation of 1,4-butanediol in methanol over different supported-metal catalysts. From the NMR $T_1$/$T_2$ ratio, where $T_1$ is the longitudinal and $T_2$ the transverse spin relaxation time, the relative affinity of reactant and solvent for different catalytic surfaces is determined. The catalysts with the lowest activity show a preferential surface affinity for the solvent compared to the reactant. Conversely, the catalyst with the highest activity shows a preferential surface affinity for the reactant compared to the solvent. Significantly, Ru/SiO$_2$, which is totally inactive for the oxidation of 1,4-butanediol, exhibited a lower $T_1$/$T_2$ ratio (surface affinity) for 1,4-butanediol (reactant) than for a “weakly-interacting” alkane, indicating a very poor surface affinity for the diol functionality. The results provide direct evidence of the importance of the adsorbate–adsorbent interactions on catalyst activity in liquid-phase oxidations and indicate that the competitive adsorption of the solvent plays an important role in these reactions. This work demonstrates that NMR relaxation time analysis is a powerful method for comparing adsorption of liquids in porous catalysts, providing valuable information on the affinity of different chemical species for a catalyst surface. Moreover, the results demonstrate that NMR relaxation time measurements can be used not only to guide selection of solvent for use with a specific catalyst, but also selection of the catalyst itself. The results suggest that this method may be used to predict catalyst behaviour, enabling improved design and optimisation of heterogeneous catalytic processes. Johnson Matthey, EvonikDegussa, Technology Strategy Board (Grant ID: TP/7/ZEE/6/I/N0262B), Engineering and Physical Sciences Research Council and CASTech consortium (Grant ID: EP/G011397/1), Wolfson College Cambridge
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