Evidence map›Paper›PMID 41680188›Full record

ArticleNature communications2026

Quasi-one-dimensional enaminone-linked covalent organic frameworks for efficient CO₂ photoreduction.

Junxian Bai, Yuxin Hu, Fangyuan Si, Yan Li, Guijie Liang, Tingting Hou, Yingwei Li

Abstract read
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Junxian BaiSchool of Chemistry and Chemical Engineering, State Key Laboratory of Advanced Papermaking and Paper-based Materials, South China University of Technology, Guangzhou, China.
Yuxin HuSchool of Chemistry and Chemical Engineering, State Key Laboratory of Advanced Papermaking and Paper-based Materials, South China University of Technology, Guangzhou, China.
Fangyuan SiSchool of Chemistry and Chemical Engineering, State Key Laboratory of Advanced Papermaking and Paper-based Materials, South China University of Technology, Guangzhou, China.
Yan LiSchool of Chemistry and Chemical Engineering, State Key Laboratory of Advanced Papermaking and Paper-based Materials, South China University of Technology, Guangzhou, China.
Guijie LiangHubei Key Laboratory of Low Dimensional Optoelectronic Materials and Devices, Hubei University of Arts and Science, Xiangyang, China.ORCID http://orcid.org/0000-0003-3005-5929
Tingting HouSchool of Chemistry and Chemical Engineering, State Key Laboratory of Advanced Papermaking and Paper-based Materials, South China University of Technology, Guangzhou, China. houtt@scut.edu.cn.
Yingwei LiSchool of Chemistry and Chemical Engineering, State Key Laboratory of Advanced Papermaking and Paper-based Materials, South China University of Technology, Guangzhou, China. liyw@scut.edu.cn.ORCID http://orcid.org/0000-0003-1527-551X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quasi-one-dimensional covalent organic frameworks have emerged as promising platforms for photochemical energy conversion due to their low density of basal sites, abundant edge sites, and dual-chain-like structure. However, the development of quasi-one-dimensional covalent organic frameworks in photocatalysis is still highly hindered by their limited linkage chemistry. Herein, we report an enaminone-linked quasi-one-dimensional covalent organic framework. The polar enaminone bonds together with dual-chain-like structure endow enaminone-linked quasi-one-dimensional covalent organic framework with broad light adsorption and effective excitonic dissociation abilities. Significantly, a high CO yield of 3045 μmol g

Identifiers

PMID41680188
PMCPMC12957368

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.