Zhao Chenxu, Xi Menghui, Huo Jinrong, He Chaozheng
Institute of Environment and Energy Catalysis, School of Materials Science and Chemical Engineering Xi'an Technological University Xi'an, Shaanxi 710021, China.
Phys Chem Chem Phys. 2021 Oct 20;23(40):23219-23224. doi: 10.1039/d1cp03943a.
The separation of CO or CH from a CO/CH mixture has drawn great attention in relation to solving air pollution and energy shortage issues. However, research into using bifunctional catalysts to separate CO and CH under different conditions is absent. We have herein designed a novel B-doped two-dimensional InSe (B@2DInSe) catalyst, which can chemically adsorb CO with covalent bonds. B@2DInSe can separate CO and CH in different electric fields, which originates from different regulation mechanisms by an electric field (EF) on the electric properties. The hybridization states between CO and B@2DInSe near the Fermi level have experienced gradual localization and eventually merged into a single narrow peak under an increased EF. As the EF further increased, the merged peak shifted towards higher energy states around the Fermi level. In contrast, the EF mainly alters the degree of hybridization between CH and B@2DInSe at states far below the Fermi level, which is different from the CO situation. These characteristics can also lead to perfect linear relationships between the adsorption energies of CO/CH and the electric field, which may be beneficial for the prediction of the required EF without large volumes of calculations. Our results have not only provided novel clues for catalyst design, but they have also provided deep understanding into the mechanisms of bifunctional catalysts.
从一氧化碳/甲烷混合物中分离一氧化碳或甲烷,在解决空气污染和能源短缺问题方面备受关注。然而,目前缺乏关于使用双功能催化剂在不同条件下分离一氧化碳和甲烷的研究。在此,我们设计了一种新型的硼掺杂二维硒化铟(B@2DInSe)催化剂,它能够通过共价键化学吸附一氧化碳。B@2DInSe可以在不同电场中分离一氧化碳和甲烷,这源于电场(EF)对电学性质的不同调控机制。在费米能级附近,一氧化碳与B@2DInSe之间的杂化态经历了逐渐局域化,并最终在增强的电场下合并为一个单一的窄峰。随着电场进一步增强,合并峰向费米能级周围的更高能态移动。相比之下,电场主要改变甲烷与B@2DInSe在远低于费米能级状态下的杂化程度,这与一氧化碳的情况不同。这些特性还能导致一氧化碳/甲烷吸附能与电场之间呈现出完美的线性关系,这可能有利于在无需大量计算的情况下预测所需的电场。我们的研究结果不仅为催化剂设计提供了新线索,还深入揭示了双功能催化剂的作用机制。