Journal Home > Volume 17 , Issue 6

Solid strong base catalysts have received considerable attention in various organic reactions due to their facile separation, neglectable corrosion, and environmental friendliness. Although great progress has been made in the preparation of solid strong base catalysts, it is still challenging to avoid basic sites aggregation on support and active sites loss in reaction system. Here, we report a tandem redox strategy to prepare Na single atoms on graphene, producing a new kind of solid strong base catalyst (Na1/G). The base precursor NaNO3 was first reduced to Na2O by graphene (400 °C) and successively to single atoms Na anchored on the graphene vacancies (800 °C). Owing to the atomically dispersed of basicity, the resultant catalyst presents high activity toward the transesterification of methanol and ethylene carbonate to synthesize dimethyl carbonate (turnover frequency (TOF) value: 125.7 h−1), which is much better than the conventional counterpart Na2O/G and various reported solid strong bases (TOF: 1.0–90.1 h−1). Furthermore, thanks to the basicity anchored on graphene, the Na1/G catalyst shows excellent durability during cycling. This work may provide a new direction for the development of solid strong base catalysts.

File
12274_2024_6506_MOESM1_ESM.pdf (3.7 MB)
Publication history
Copyright
Acknowledgements

Publication history

Received: 25 October 2023
Revised: 09 January 2024
Accepted: 18 January 2024
Published: 07 February 2024
Issue date: June 2024

Copyright

© Tsinghua University Press 2024

Acknowledgements

Acknowledgements

This work was supported by the National Science Fund for Distinguished Young Scholars (No. 22125804), the National Natural Science Foundation of China (Nos. 22078155 and 22178163), and the Jiangsu Funding Program for Excellent Postdoctoral Talent. We thank the BL08U1A beam station for XAFS measurements at Shanghai Synchrotron Radiation Facility (SSRF) and we are grateful to the High-Performance Computing Center of Nanjing Tech University for supporting the computational.

Return