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- W2786149293 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." @default.
- W2786149293 created "2018-02-23" @default.
- W2786149293 creator A5014031197 @default.
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- W2786149293 creator A5039971691 @default.
- W2786149293 creator A5047720402 @default.
- W2786149293 date "2018-01-29" @default.
- W2786149293 modified "2023-09-23" @default.
- W2786149293 title "Optimization of mesoporous titanosilicate catalysts for cyclohexene epoxidation via statistically guided synthesis" @default.
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- W2786149293 doi "https://doi.org/10.1007/s10853-018-2057-2" @default.
- W2786149293 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6566288" @default.
- W2786149293 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31258177" @default.
- W2786149293 hasPublicationYear "2018" @default.
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