Suppr超能文献

基于伪二元合金的活性位点调控用于低温乙炔半加氢反应

Active site tuning based on pseudo-binary alloys for low-temperature acetylene semihydrogenation.

作者信息

Ma Jiamin, Xing Feilong, Shimizu Ken-Ichi, Furukawa Shinya

机构信息

Institute for Catalysis, Hokkaido University Sapporo 001-0021 Japan

出版信息

Chem Sci. 2024 Jan 26;15(11):4086-4094. doi: 10.1039/d3sc03704e. eCollection 2024 Mar 13.

Abstract

The development of an efficient catalytic system for low-temperature acetylene semihydrogenation using nonnoble metals is important for the cost-effective production of polymer-grade pure ethylene. However, it remains challenging owing to the intrinsic low activity. Herein, we report a flexibly tunable catalyst design concept based on a pseudo-binary alloy, which enabled a remarkable enhancement in the catalytic activity, selectivity, and durability of a Ni-based material. A series of (NiCu)Ga/TiO catalysts exhibiting L1-type pseudo-binary alloy structures with various Cu contents ( = 0.2, 0.25, 0.33, 0.5, 0.6, and 0.75) were prepared for active site tuning. The optimal catalyst, (NiCu)Ga/TiO, exhibited outstandingly high catalytic activity among reported 3d transition metal-based systems and excellent ethylene selectivity (96%) and long-term stability (100 h) with near full conversion even at 150 °C. A mechanistic study revealed that NiCu hollow sites on the (111) surface weakened the strong adsorption of acetylene and vinyl adsorbate, which significantly accelerated the hydrogenation process and inhibited undesired ethane formation.

摘要

开发一种使用非贵金属的低温乙炔半加氢高效催化体系对于聚合物级纯乙烯的经济高效生产至关重要。然而,由于其固有的低活性,这仍然具有挑战性。在此,我们报告了一种基于伪二元合金的灵活可调催化剂设计概念,该概念能够显著提高镍基材料的催化活性、选择性和耐久性。制备了一系列具有不同铜含量( = 0.2、0.25、0.33、0.5、0.6和0.75)的呈现L1型伪二元合金结构的(NiCu)Ga/TiO催化剂用于活性位点调控。最优催化剂(NiCu)Ga/TiO在已报道的基于3d过渡金属的体系中表现出极高的催化活性,以及优异的乙烯选择性(96%)和长期稳定性(100小时),即使在150°C时也能实现近乎完全转化。机理研究表明,(111)表面上的NiCu中空位点减弱了乙炔和乙烯基吸附质的强吸附,这显著加速了加氢过程并抑制了不期望的乙烷生成。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/627f/10935689/480165df7387/d3sc03704e-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验