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La/Zn Bimetallic Oxide Catalyst for Epoxidation of Styrene by Cumene Hydroperoxide: Kinetics and Reaction Engineering Aspects
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2019-02-11 , DOI: 10.1021/acs.iecr.8b05538
Sudip Das 1 , Amanraj Gupta 1 , Dheerendra Singh 1 , Sanjay Mahajani 1
Affiliation  

Styrene oxide (STOX) is mostly produced by chlorohydrin process that generates large amount of waste. A greener alternative to the chlorohydrin process is epoxidation of styrene induced by hydroperoxides. In this work, we have studied this reaction using cumene hydroperoxide (CHP) as oxygen inducing reagent under the influence of the prepared La–Zn bimetallic oxides, which offered reasonably high catalytic activity in terms of conversion and high selectivity for styrene oxide. The side reactions can be suppressed by a proper choice of reaction conditions and mode of reaction. At a given reactant conversion, semibatch modes of operation exhibits higher styrene and CHP-based product selectivity when compared with its batch counterpart. Parametric studies are performed to examine the effects of temperature (ambient temperature 363 K), catalyst loading (0.25–1%), CHP-to-styrene mole ratio (∼1–3.5), presence of nonreacting solvent, and surface basicity of catalysts. Catalyst deactivation was studied in detail and a plausible way to regenerate the spent catalyst has been advocated. A suitable kinetic model is proposed that explains the trends in product yield, byproduct formation, and catalyst deactivation. Parameters are estimated by nonlinear regression along with 95% confidence interval calculated by bootstrapping technique.

中文翻译:

La / Zn双金属氧化物催化氢过氧化异丙苯环氧化苯乙烯的动力学和反应工程研究

氧化苯乙烯(STOX)主要通过氯醇法生产,产生大量废物。氯醇法的一种更绿色的替代方法是氢过氧化物诱导的苯乙烯环氧化。在这项工作中,我们研究了在制备的La-Zn双金属氧化物的影响下,使用氢过氧化枯烯(CHP)作为氧诱导剂的反应,该反应在转化率和对氧化苯乙烯的高选择性方面提供了相当高的催化活性。副反应可以通过反应条件和反应的方式适当选择被抑制。在给定的反应物转化率下,与分批操作相比,半分批操作模式表现出更高的苯乙烯和CHP基产品选择性。进行参数研究以检查温度(环境温度363 K)的影响,催化剂的负载量(0.25-1%),CHP与苯乙烯的摩尔比(约1-3.5),未反应的溶剂的存在以及催化剂的表面碱度。详细研究了催化剂失活,并提出了一种可行的再生废催化剂的方法。提出了合适的动力学模型,该模型解释了产物收率,副产物形成和催化剂失活的趋势。通过非线性回归以及通过自举技术计算的95%置信区间估计参数。
更新日期:2019-02-13
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