期刊
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
卷 60, 期 16, 页码 5723-5732出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.iecr.0c05966
关键词
-
资金
- National Natural Science Foundation of China [21805154, 21972034]
- China Postdoctoral Science Foundation [2019M652343]
- Talent Fund of Shandong Collaborative Innovation Center of EcoChemical Engineering [XTCXQN01]
- Green Intelligent Technology Research and Development Center of Zibo HighTech Zone [20200025]
- Foundation of State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering [2021-K18]
Several environmentally benign graphitic carbon nitride (g-C3N4)-based nanocomposites with Lewis acid-base dual functionalities were developed through the pyrolysis of deep-eutectic solvents (DESs). These catalysts were used for the cycloaddition of CO2 to epoxides, showing high efficiency and selectivity under specific conditions. The catalysts also demonstrated good reusability and applicability to different epoxides, with a proposed synergistic catalytic mechanism based on experimental results.
Several environmentally benign graphitic carbon nitride (g-C3N4)-based nanocomposites with Lewis acid-base dual functionalities were developed through the pyrolysis of deep-eutectic solvents (DESs). They were used as heterogeneous catalysts for cycloaddition of CO2 to epoxides. The catalysts' structures and different process conditions were optimized, and a comparison of the catalytic activity was made with reported heterogeneous catalysts. Moreover, the catalyst reusability and applicability to different epoxides were examined. The results showed that the 2.0Zn@g-C3N4-550 combining with tetrabutylammonium bromide (TBAB) could efficiently and selectively convert CO2 into the desired products under the conditions of 90 degrees C, 1.5 MPa CO2 for 3.0 h. In addition, no obvious deactivation was observed after the catalyst was reused for five cycles. Based on the experimental results, a possible synergistic catalytic mechanism was finally proposed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据