Evidence map›Paper›PMID 41844660›Full record

ArticleNature communications2026

Electrochemically mediated disproportionation for selective formaldehyde upcycling in acid.

Yun Song, Zhaohua Zhu, Tridip Das, Aarya D Riasati, Jianjun Su, Weihua Guo, Yong Liu, Geng Li, Yinger Xin, Qiang Zhang and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

20 authors.

Yun Song *Department of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.
Zhaohua Zhu *Department of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0001-7897-4647
Tridip Das *Materials and Process Simulation Center, California Institute of Technology, Pasadena, CA, USA.
Aarya D RiasatiMaterials and Process Simulation Center, California Institute of Technology, Pasadena, CA, USA.
Jianjun SuDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.
Weihua GuoDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-4884-8054
Yong LiuDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.
Geng LiDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.
Yinger XinDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.
Qiang ZhangDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-2325-3011
Mingming HeDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.
Ruixuan WangDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.
Rui XueDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.
Shenlong ZhaoCAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China.ORCID http://orcid.org/0000-0002-4073-1102
Chuan XiaSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, China.ORCID http://orcid.org/0000-0003-4526-159X
Ben Zhong TangGuangdong Basic Research Center of Excellent for Aggregate Science, School of Science and Engineering, Shenzhen Institute of Molecular Aggregate Science and Engineering, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, China.ORCID http://orcid.org/0000-0002-0293-964X
Marc RobertSorbonne Université, Institut Parisien de Chimie Moléculaire (IPCM), CNRS, Institut Universitaire de France (IUF), Paris, France.ORCID http://orcid.org/0000-0001-7042-4106
Xin WangDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-2686-466X
William A GoddardMaterials and Process Simulation Center, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0003-0097-5716
Ruquan YeDepartment of Chemistry and State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong, China. ruquanye@cityu.edu.hk.ORCID http://orcid.org/0000-0002-2543-9090

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 22522509Research Grants Council, University Grants Committee (RGC, UGC) 11309723, 11310624
6 · The paper itself

Abstract

Formaldehyde (FA) electrolysis is attractive for paired production of value‑added chemicals. However, conventional electrolysis adopts alkaline electrolytes, which triggers FA self-disproportionation and severe feed loss. Here we introduce a sustainable and selective strategy for valorizing FA through electrochemically mediated disproportionation in acidic electrolytes. By leveraging a dual-electrode system consisting of a hydrophobic copper tetraminophthalocyanine layer (CuTAPc-layer) cathode and a Pt

Identifiers

PMID41844660
PMCPMC13150010

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.