Evidence map›Paper›PMID 41468426›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

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

Songtao Tang, Kejian Li, Jan Paul Menzel, Zhengwei Ye, Zhuoran Long, Kai Sun, Victor S Batista, Zetian Mi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Songtao Tang *Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109.ORCID 0009-0002-7111-2168
Kejian Li *Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109.ORCID 0009-0004-2356-4914
Jan Paul Menzel *Department of Chemistry, Yale University, New Haven, CT 06520-8107.ORCID 0000-0002-1312-5000
Zhengwei YeDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0002-4759-2061
Zhuoran LongDepartment of Chemistry, Yale University, New Haven, CT 06520-8107.
Kai SunDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0003-1745-9136
Victor S BatistaDepartment of Chemistry, Yale University, New Haven, CT 06520-8107.ORCID 0000-0002-3262-1237
Zetian MiDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109.

Funding

DOE | Idaho Operations Office, U.S. Department of Energy (DOE-ID) DE-EE0010730U.S. Army Research Office W911NF2110337
6 · The paper itself

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

Indexed as

dynamic wetting stateshydrogen productionmethane partial oxidationphotocatalyticwater microdroplets

Identifiers

PMID41468426
PMCPMC12773787

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.