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Catalytic transformation of methane (CH) into methanol in a single step is a challenging issue for the utilization of CH. We present a direct method for converting CH into methanol with high selectivity over a Pt/CeO catalyst which contains ionic Pt species supported on a CeO nanoparticle. The Pt/CeO catalyst reproducibly yielded 6.27 mmol/g of Pt with a selectivity of over 95% at 300 °C when CH and CO are used as reactants, while the catalyst had a lower activity when using only CH without CO. Active lattice oxygen created on the Pt and CeO interface provides selective reaction pathways for the conversion of CH to methanol. Based on high-angle annular dark-field scanning transmission electron microscopy, x-ray photoelectron spectroscopy, x-ray absorption near-edge structure, extended x-ray absorption fine structure, catalytic studies, and density functional theory calculations, we propose a mechanistic pathway involving CH activation at the active site in the vicinity of Pt species.
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http://dx.doi.org/10.1063/1.5135741 | DOI Listing |
J Am Chem Soc
September 2025
Institute of Integrated Research, Institute of Science Tokyo, 4259 Nagatsuta, Midori-ku, Yokohama 226-8501, Japan.
Upgrading methane to value-added chemicals is significant but still challenging. Well-designed catalysts are required to activate methane. Extensive efforts have been dedicated to the catalytic conversion of methane over transition-metal-containing catalysts.
View Article and Find Full Text PDFChem Commun (Camb)
September 2025
Laboratory of Clean Low-Carbon Energy, University of Science and Technology of China, Hefei 230023, P. R. China.
Methane is a notorious and potent greenhouse gas with a greenhouse effect potential 25 times higher than carbon dioxide. Current technologies for methane are limited by high energy demands, CO emissions and by-product pollution, and costly catalysts. Hence, it is urgent to seek clean processing technologies that can utilize its dual properties as an energy source and raw chemical feedstock to unlock its full potential and contribute to environmental remediation.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
School of Physical Science and Technology, Ningbo University, Ningbo, 315211, China.
Accurate prediction of free energy changes (Δ) for the vast network of reaction intermediates in the electrocatalytic CO reduction reaction (CORR) is essential for evaluating catalytic performance. We combined density functional theory (DFT) and machine learning (ML) to screen 25 single-atom catalysts (SACs) on defective γ-GeSe monolayers for CO reduction to methanol, methane, and formic acid. Among nine ML models evaluated with 14 features, the XGBoost performed best (R = 0.
View Article and Find Full Text PDFACS Nano
September 2025
National & Local Joint Engineering Research Center of Precision Coal Mining, Anhui University of Science and Technology, Huainan 232001, PR China.
Using monometallic catalysts to selectively catalyze methane to methanol while suppressing the formation of liquid-phase overoxide products is beneficial for industrial applications. However, the balance between yield and selectivity over monometallic active sites remains challenging. This work proposes a strategy anchoring binary rhodium species to influence their surface dispersion properties.
View Article and Find Full Text PDFISME J
August 2025
Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80523, United States.
Wetlands are a major source of methane emissions and contribute to the observed increase in atmospheric methane over the last 20 years. Methane production in wetlands is the final step of carbon decomposition performed by anaerobic archaea. Although hydrogen/carbon dioxide and acetate are the substrates most often attributed to methanogenesis, other substrates - such as methylated compounds - may additionally play important roles in driving methane production in wetland systems.
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