催化作用
双功能
碳化
苯乙烯
材料科学
化学工程
碳纤维
氧化还原
化学
无机化学
吸附
有机化学
共聚物
复合材料
复合数
工程类
聚合物
作者
Jiangyong Liu,Jinxing Li,Rongfei Ye,Xiaodong Yan,Lixia Wang,Panming Jian
出处
期刊:Chinese Journal of Catalysis
[China Science Publishing & Media Ltd.]
日期:2020-03-12
卷期号:41 (8): 1217-1229
被引量:43
标识
DOI:10.1016/s1872-2067(20)63534-3
摘要
The scarcity and weak durability of metal, especially precious metal catalysts are big obstacles for their large-scale application in many reactions. The state-of-the-art of the catalytic science prefers such type of catalysts, which can replace metal-based catalysts to alleviate energy and environmental crises and exhibit catalytic performance comparable to or even exceeding these metal catalysts. Herein, we report that N-doped porous carbon (NKC) derived from cheap and abundant radish can be employed as versatile and efficient bifunctional catalysts in both the catalytic reduction of 4-nitrophenol (NRR) and oxidation of styrene (SOR). The series of NKC catalysts were prepared with a simple and facile one-pot strategy by coupling the N-doping, carbonization and KOH activation processes. These catalysts show hierarchical porosity, with the specific surface area, total pore volume and N-doping content ranging from 918.9–3062.7 m2 g−1, 1.01–2.04 cm3 g−1 and 1.29–15.3 at%, respectively. Interestingly, our finding suggests that the catalytic performance is not directly related to these parameters but correlates positively with the content of graphitic N dopants, which is the dominant contributor for impelling both the NRR and SOR. Another intriguing finding is that for both reactions, the optimal catalyst was found to be the NKC-3-800 which possesses the highest graphitic N content of 3.13 at%. In addition, to gain insight into the catalytic behavior, analyses of kinetics and thermodynamics were performed, and the catalytic mechanisms were postulated. This work paves the way for the construction of biomass-derived N-doped carbon catalysts for bi- or even multi-functional applications in various organic reactions.
科研通智能强力驱动
Strongly Powered by AbleSci AI