Issue 20, 2023

Crystal facet dependence of the ketonization of propionic acid on anatase TiO2

Abstract

Exploring reactions on well-defined surfaces may contribute to a better understanding of structure–activity relationships for metal oxide-mediated reactions. Herein, anatase TiO2 with predominantly exposed (101), (100) and (001) facets were synthesized and tested for vapor-phase ketonization of propionic acid. The intrinsic ketonization rates based on both mass and surface area at 350 °C increase following the order of TiO2(100) < TiO2(101) < TiO2(001), with the corresponding turnover frequency based on the density of the acid–base pair being 51.8, 71.3, and 185.2 h−1, respectively. The ketonization rate cannot be correlated with either acid/base property or concentration of oxygen vacancies, but an integral band intensity ratio of monodentate/bidentate propionate, suggesting that the monodentate configuration is likely the more reactive intermediate toward C–C coupling. Density functional theory calculation of propionic acid adsorption indicates that the high activity of ketonization results from the longer shortest Ti5c–Ti5c distance, and the square arrangement of surface Ti5c centers in the nearly flat surface of the (001) facet. These results indicate that the surface geometrical structure of the metal oxide plays a crucial role in the ketonization of carboxylic acids, and the minority (001) facet on the surface may predominantly contribute to the overall activity in ketonization on anatase TiO2. Our results also suggest that facet engineering may greatly enhance the C–C coupling reactions mediated on the acid–base pair of the metal oxide.

Graphical abstract: Crystal facet dependence of the ketonization of propionic acid on anatase TiO2

Supplementary files

Article information

Article type
Paper
Submitted
03 Jul 2023
Accepted
01 Sep 2023
First published
04 Sep 2023

Catal. Sci. Technol., 2023,13, 5924-5937

Crystal facet dependence of the ketonization of propionic acid on anatase TiO2

J. Huang, L. Li, X. Wu, Y. Guo, Z. Yang, H. Wang, Q. Ge and X. Zhu, Catal. Sci. Technol., 2023, 13, 5924 DOI: 10.1039/D3CY00917C

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