Unveiling the Synergistic Role of Frustrated Lewis Pairs in Carbon-Encapsulated Ni/NiO x Photothermal Cocatalyst for Enhanced Photocatalytic Hydrogen Production.
Zhi YangTaiyu HuangMeng LiXudong WangXiaosong ZhouSiyuan YangQiongzhi GaoXin CaiYingju LiuYueping FangYu WangShanqing ZhangShengsen ZhangPublished in: Advanced materials (Deerfield Beach, Fla.) (2024)
The development of high-density and closely spaced frustrated Lewis pairs (FLPs) is crucial for enhancing catalyst activity and accelerating reaction rates. However, constructing efficient FLPs by breaking classical Lewis bonds poses a significant challenge. Here, we have made a pivotal discovery regarding the Jahn-Teller effect during the formation of grain boundaries in carbon-encapsulated Ni/NiOx (Ni/NiO x @C). This effect facilitates the formation of high-density O (V O ) and Ni (V Ni ) vacancy sites with different charge polarities, specifically FLP-V O -C basic sites and FLP-V Ni -C acidic sites. The synergistic interaction between FLP-V O -C and FLP-V Ni -C sites not only reduces energy barriers for water adsorption and splitting, but also induces a strong photothermal effect. This mutually reinforcing effect contributes to the exceptional performance of Ni/NiO x @C as a cocatalyst in photothermal-assisted photocatalytic hydrogen production. Notably, the Ni/NiO x @C/g-C 3 N 4 (NOCC) composite photocatalyst exhibits remarkable hydrogen production activity with a rate of 10.7 mmol•g -1 •h -1 , surpassing that of the Pt cocatalyst by 1.76 times. Moreover, the NOCC achieves an impressive apparent quantum yield of 40.78% at a wavelength of 380 nm. This work paves the way for designing novel defect-state multiphase cocatalysts with high-density and adjacent FLP sites, which hold promise for enhancing various catalytic reactions. This article is protected by copyright. All rights reserved.
Keyphrases
- high density
- metal organic framework
- transition metal
- visible light
- cancer therapy
- photodynamic therapy
- drug delivery
- highly efficient
- computed tomography
- magnetic resonance
- magnetic resonance imaging
- small molecule
- gold nanoparticles
- machine learning
- ionic liquid
- high throughput
- molecular dynamics
- artificial intelligence
- reduced graphene oxide