Out-of-Plane Single-Copper-Site Catalysts for Room-Temperature Benzene Oxidation.
Wei ChePai LiGao-Feng HanHyuk-Jun NohJeong-Min SeoJong-Pil JeonChangqing LiWei LiuFeng LiQinghua LiuJong-Beom BaekPublished in: Angewandte Chemie (International ed. in English) (2024)
Crafting single-atom catalysts (SACs) that possess "just right" modulated electronic and geometric structures, granting accessible active sites for direct room-temperature benzene oxidation is a coveted objective. However, achieving this goal remains a formidable challenge. Here, we introduce an innovative in situ phosphorus-immitting strategy using a new phosphorus source (phosphorus nitride, P 3 N 5 ) to construct the phosphorus-rich copper (Cu) SACs, designated as Cu/NPC. These catalysts feature locally protruding metal sites on a nitrogen (N)-phosphorus (P)-carbon (C) support (NPC). Rigorous analyses, including X-ray absorption spectroscopy (XAS) and X-ray photoelectron spectroscopy (XPS), validate the coordinated bonding of nitrogen and phosphorus with atomically dispersed Cu sites on NPC. Crucially, systematic first-principles calculations, coupled with the climbing image nudged-elastic-band (CI-NEB) method, provide a comprehensive understanding of the structure-property-activity relationship of the distorted Cu-N 2 P 2 centers in Cu/NPC for selective oxidation of benzene to phenol production. Interestingly, Cu/NPC has shown more energetically favorable C-H bond activation compared to the benchmark Cu/NC SACs in the direct oxidation of benzene, resulting in outstanding benzene conversion (50.3 %) and phenol selectivity (99.3 %) at room temperature. Furthermore, Cu/NPC achieves a remarkable turnover frequency of 263 h -1 and mass-specific activity of 35.2 mmol g -1 h -1 , surpassing the state-of-the-art benzene-to-phenol conversion catalysts to date.
Keyphrases
- room temperature
- metal organic framework
- high resolution
- aqueous solution
- ionic liquid
- sewage sludge
- highly efficient
- hydrogen peroxide
- deep learning
- molecular dynamics
- transition metal
- machine learning
- gold nanoparticles
- electron transfer
- risk assessment
- mass spectrometry
- heavy metals
- oxide nanoparticles
- body composition