Controlled Pretreatment and Reconstruction of a Bimetallic Pt–Ir/Al2O3/ZSM-5 Catalyst for Increased Stability during Butane Hydrogenolysis

IF 4.3 Q2 ENGINEERING, CHEMICAL ACS Engineering Au Pub Date : 2023-07-28 DOI:10.1021/acsengineeringau.3c00012
Emily K. Schroeder, Prasanna Dasari, Muhammad Amtiaz Nadeem, Dustin Fickel and Phillip Christopher*, 
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Abstract

The activity and stability of bimetallic Pt–Ir nanoparticles supported on an Al2O3/ZSM-5 mixture were investigated as a function of pretreatment and regeneration conditions for butane hydrogenolysis to ethane. Catalyst characterization by scanning transmission electron microscopy and energy-dispersive X-ray spectroscopy before and after aging under butane hydrogenolysis conditions for 12 weeks confirmed that the bimetallic nanoparticles were resistant to sintering, coking, and bulk metal segregation. However, for catalysts that were pretreated through an initial H2 reduction, n-butane conversion decreased from 68 to 34% after 12 days on stream while maintaining ∼76% selectivity to ethane. A specific regeneration (or pretreatment) protocol was identified, involving the exposure of the oxidized catalyst to a butane and hydrogen mixture followed by post-reduction, which recovered the catalyst activity and enhanced catalyst stability such that n-butane conversion decreased <5% after 6 days on stream. The influence of various treatments on the structure and surface composition of the bimetallic nanoparticles was hypothesized based on analysis of in situ and cryogenic CO probe-molecule diffuse reflectance infrared Fourier transform spectroscopy measurements. Based on this analysis, it was inferred that high-temperature H2 treatment of oxidized catalysts resulted in intraparticle segregation into a Pt shell and Ir core that was detrimental to long-term catalyst performance. The core–shell structure was reversible upon catalyst oxidation in O2, forming an oxidized Ir (IrOx) shell and Pt core. Treatment of the oxidized catalyst with a butane and H2 mixture deposited CO and hydrocarbon adsorbates on the IrOx shell, which stabilized Ir on the nanoparticle surface, even under reductive conditions. Post-reduction in H2 restored the initial n-butane conversion with improved catalyst stability due to the adsorbate-stabilized, Ir-enriched surface. Therefore, carefully designed pretreatment protocols that deposit stable spectator adsorbates are presented as a valuable tool for controlling the surface composition of bimetallic nanoparticles under reaction conditions to improve their catalytic performance.

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Pt-Ir /Al2O3/ZSM-5双金属催化剂的可控预处理和重构提高丁烷氢解稳定性
研究了Al2O3/ZSM-5负载的双金属Pt-Ir纳米颗粒的活性和稳定性,以及预处理和再生条件对丁烷氢解制乙烷的影响。通过扫描透射电子显微镜和能量色散x射线能谱对催化剂在丁烷氢解条件下12周老化前后的表征,证实了双金属纳米颗粒具有抗烧结、焦化和体金属偏析的性能。然而,对于经过初始H2还原预处理的催化剂,在运行12天后,正丁烷转化率从68%下降到34%,而对乙烷的选择性保持在76%左右。研究人员确定了一种特殊的再生(或预处理)方案,将氧化后的催化剂暴露于丁烷和氢的混合物中,然后进行后还原,恢复了催化剂的活性,增强了催化剂的稳定性,使正丁烷转化率在生产6天后降低了5%。基于原位和低温CO探针-分子漫反射红外傅里叶变换光谱测量分析,假设了不同处理对双金属纳米颗粒结构和表面组成的影响。根据这一分析,我们推断氧化催化剂的高温H2处理导致颗粒内偏析成Pt壳和Ir核,这不利于催化剂的长期性能。催化剂在O2中氧化后,核壳结构可逆,形成氧化的Ir (IrOx)壳和Pt核。用丁烷和H2混合物处理氧化催化剂后,CO和碳氢化合物吸附在IrOx外壳上,即使在还原条件下也能稳定纳米颗粒表面的Ir。H2还原后恢复了初始正丁烷转化,由于吸附稳定,表面富ir,催化剂稳定性提高。因此,精心设计的预处理方案可以沉积稳定的旁观者吸附物,作为在反应条件下控制双金属纳米颗粒表面组成以提高其催化性能的有价值的工具。
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ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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