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Optimization of mesoporous titanosilicate catalysts for cyclohexene epoxidation via statistically guided synthesis.
Perera, A S; Trogadas, P; Nigra, M M; Yu, H; Coppens, M-O.
Afiliación
  • Perera AS; 1Centre for Nature Inspired Engineering, University College London, Torrington Place, London, WC1E 7JE UK.
  • Trogadas P; 2Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.
  • Nigra MM; 1Centre for Nature Inspired Engineering, University College London, Torrington Place, London, WC1E 7JE UK.
  • Yu H; 2Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.
  • Coppens MO; 2Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.
J Mater Sci ; 53(10): 7279-7293, 2018.
Article en En | MEDLINE | ID: mdl-31258177
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Mater Sci Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Mater Sci Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos