组合法优化异丁烷部分氧化催化剂的研究。

Johan S Paul, R. Janssens, J. Denayer, G. Baron, P. Jacobs
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引用次数: 29

摘要

用真组合方法优化Mo-V-Sb混合氧化体系,以选择异丁烷氧化制甲基丙烯,主要是为了在更大的参数空间内减少实验次数。因此,选择基于遗传算法的进化方法筛选三代30种催化剂。在自动化溶胶-凝胶合成技术、高通量连续流反应器(16UPCFR)和适当的实验设计软件的帮助下,获得了性能提高的新型催化剂组成。最后,将最佳催化剂按比例放大至克级,并在配备四个并联反应器(4UPCFR)的连续流反应器单元中进行测试。与Mo8V2Sb90O(x)催化剂相比,在相同的异丁烷转化率下,最终催化剂对甲基丙烯醛的选择性显著提高。
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Optimization of MoVSb oxide catalyst for partial oxidation of isobutane by combinatorial approaches.
Optimization of the Mo-V-Sb mixed-oxide system for the selective oxidation of isobutane to methacrolein by true combinatorial methods primarily is intended to reduce the number of experiments in a broad parameter space. Therefore, an evolutionary approach based on a genetic algorithm has been chosen to screen three generations of 30 catalysts. With the help of automated sol-gel synthesis techniques, a high-throughput continuous flow reactor (16UPCFR), and appropriate software for experimental design, a new catalyst composition with improved performance has been obtained. Finally, the best catalysts were scaled-up to gram quantities and tested in a continuous-flow reactor unit that was equipped with four parallel reactors (4UPCFR). The final catalyst showed a significantly higher selectivity toward methacrolein at the same isobutane conversion, compared to the initial Mo8V2Sb90O(x) catalyst.
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