Thermodynamic characterization of the hydroxyl group on the &#947-alumina surface by the energy distribution function

• Published in: Journal of physical chemistry. C Vol. 121; no. 31; pp. 16770 - 16782
• Main Authors: Lagauche, Matthieu, Larmier, Kim, Jolimaître, Elsa, Barthelet, Karin, Chizallet, Céline, Favergeon, Loïc, Pijolat, Michèle
• Format: Journal Article
• Language: English
• Published: American Chemical Society 2017
• Subjects: Chemical Sciences; Material chemistry; or physical chemistry; Theoretical and; surface hydroxyls; 947-alumina; Density Functional Theory; γ-alumina; water adsorption; surface characterization; energy distribution function
• ISSN: 1932-7447; 1932-7455
• DOI: 10.1021/acs.jpcc.7b02498

Controlling water adsorption on &#947-alumina, i.e. the quantity and nature of the surface hydroxyl groups, is essential to adjust the acido/basic properties of the surface. IR and DFT studies have shown that different OH groups, each of them characterized by its own chemical environment and adsorption properties, can be present on the surface of &#947-alumina. However, quantifying this surface heterogeneity and predicting the influence of the synthesis and activation conditions is still a challenging problem. In this paper, a detailed experimental study is conducted on a &#947-alumina sample obtained by thermal decomposition of a commercial boehmite. Using a thermogravimetric setup, both water adsorption equilibrium and desorption kinetics were acquired in a large range of controlled experimental conditions (1 Pa &#60 water partial pressures &#60 1400 Pa ; 100°C &#60 temperatures &#60 600°C). Based on theories developed for strongly heterogeneous surfaces, the Energy Distribution Function (EDF) of water adsorption enthalpy is evaluated. The OH adsorption enthalpy range of the EDF, and the experimental OH contents, are in good agreement with Density Functional Theory simulations, making a bridge between macroscopic and atomistic features. It is also shown that the EDF of the &#947-alumina surface is a very powerful tool to predict the hydroxyl coverage as a function of the pretreatment history of the sample.