ArticleNature communications2026
Spatiotemporal photon distribution control on active sites enables bio-inspired methane-to-methanol conversion.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Photocatalytic Methane Oxidation to Carbonyl Products.Angewandte Chemie (International ed. in English) · 2026Review
- Eco-Nanozymology: A Catalytic Paradigm Integrating Energy, Environment, and Ecology.Nano-micro letters · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Direct catalytic conversion of methane to methanol offers a pathway for transforming a potent greenhouse gas into a portable clean liquid fuel, thereby mitigating carbon emissions and supporting sustainable energy. However, this process faces challenges from thermodynamically favorable methanol overoxidation. Here, we show that spatiotemporal regulation of photogenerated charge carriers on engineered catalytic sites enables a bio-inspired ordered two-step photocatalytic process that imitates methane monooxygenase. In a platinum-loaded cadmium sulfide photocatalyst, unsaturated sulfur sites modulate hole migration while platinum sites modulate electron migration, ensuring their concurrent surface arrival within picoseconds and prolonged localization. This dynamics temporarily anchors methane at hole-enriched sulfur sites while hydroxyl radical generation occurs at electron-rich platinum sites, decoupling hydroxyl radical formation from methane dehydrogenation to suppress overoxidation. The approach achieves methane-to-methanol conversion with selectivity of 83.5%, offering a bio-inspired solar-driven strategy for C
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Registered trials
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