Dual-state stepwise methane-to-methanol conversion by water droplets with excellent yield and selectivity
Abstract
Leveraging the continuous and rapid deposition and evaporation processes of water microdroplets on photocatalyst surfaces, this study presents an innovative dual-state stepwise methane conversion approach. This method significantly enhances the photocatalytic methane oxidation rate and selectivity, addressing the challenges of low methane solubility and poor liquid product selectivity typically found in aqueous-phase methane oxidation. By increasing the looping frequency per unit time, we achieved a state-of-the-art methane oxidation rate of 640 µmol g −1 h −1 using water as the sole oxidant, while maintaining approximately 95% selectivity toward liquid products, including 90% for methanol. This water microdroplet-assisted strategy not only establishes a framework for achieving both high yield and selectivity in photocatalytic methane oxidation but also pioneers a more efficient and sustainable approach for broadly applicable gases and water-involved photochemical conversion processes.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (8)
Songtao Tang
Department of Electrical Engineering and Computer Science, University of Michigan
Kejian Li
Shanghai Key Laboratory of Air Quality and Environmental Health, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather, Department of Environmental Science & Engineering
Jan Paul Menzel
Department of Chemistry and Energy Sciences Institute, Yale University, 225 Prospect Street, New Haven, Connecticut 06520, United States
Zhengwei Ye
Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, Michigan 48109, United States
Zhuoran Long
Department of Chemistry and Energy Sciences Institute, Yale University, 225 Prospect Street, New Haven, Connecticut 06520, United States
Kai Sun
Victor S. Batista
Zetian Mi