Dual-state stepwise methane-to-methanol conversion by water droplets with excellent yield and selectivity

S Songtao Tang (Department of Electrical Engineering and Computer Science, University of Michigan) K 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) J Jan Paul Menzel (Department of Chemistry and Energy Sciences Institute, Yale University, 225 Prospect Street, New Haven, Connecticut 06520, United States) Z Zhengwei Ye (Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, Michigan 48109, United States) Z Zhuoran Long (Department of Chemistry and Energy Sciences Institute, Yale University, 225 Prospect Street, New Haven, Connecticut 06520, United States) K Kai Sun V Victor S. Batista Z Zetian Mi

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

Volume / Issue Vol. 123, Issue 1
Published January 06, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (8)

S

Songtao Tang

Department of Electrical Engineering and Computer Science, University of Michigan

K

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

J

Jan Paul Menzel

Department of Chemistry and Energy Sciences Institute, Yale University, 225 Prospect Street, New Haven, Connecticut 06520, United States

Z

Zhengwei Ye

Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, Michigan 48109, United States

Z

Zhuoran Long

Department of Chemistry and Energy Sciences Institute, Yale University, 225 Prospect Street, New Haven, Connecticut 06520, United States

K

Kai Sun

V

Victor S. Batista

Z

Zetian Mi