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Optimization of mesoporous titanosilicate catalysts for cyclohexene epoxidation via statistically guided synthesis

Perera, AS; Trogadas, P; Nigra, MM; Yu, H; Coppens, MO; (2018) Optimization of mesoporous titanosilicate catalysts for cyclohexene epoxidation via statistically guided synthesis. Journal of Materials Science , 53 (10) 10.1007/s10853-018-2057-2. Green open access

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Abstract

An efficient approach to improve the catalytic activity of titanosilicates is introduced. The Doehlert matrix (DM) statistical model was utilized to probe the synthetic parameters of mesoporous titanosilicate microspheres (MTSM), in order to increase their catalytic activity with a minimal number of experiments. Synthesis optimization was carried out by varying two parameters simultaneously: homogenizing temperature and surfactant weight. Thirteen different MTSM samples were synthesized in two sequential ‘matrices’ according to Doehlert conditions and were used to catalyse the epoxidation of cyclohexene with tert-butyl hydroperoxide. The samples (and the corresponding synthesis conditions) with superior catalytic activity in terms of product yield and selectivity were identified. In addition, this approach revealed the limiting values of each synthesis parameter, beyond which the material becomes catalytically ineffective. This study demonstrates that the DM approach can be broadly used as a powerful and time-efficient tool for investigating the optimal synthesis conditions of heterogeneous catalysts.

Type: Article
Title: Optimization of mesoporous titanosilicate catalysts for cyclohexene epoxidation via statistically guided synthesis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s10853-018-2057-2
Publisher version: http://doi.org/10.1007/s10853-018-2057-2
Language: English
Additional information: © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10043489
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