Evidence map›Paper›PMID 41605930›Full record

ArticleNature communications2026

Green chemical process for continuous production of high-purity 2,5-furandicarboxylic acid in anion exchange membrane flow electrolyzer.

Junbo Liu, Dexin Chen, Tang Tang, Licheng Sun

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. 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

4 authors.

Junbo Liu *Center of Artificial Photosynthesis for Solar Fuels and Department of Chemistry, School of Science and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang Province, China.
Dexin Chen *Center of Artificial Photosynthesis for Solar Fuels and Department of Chemistry, School of Science and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang Province, China.
Tang TangCenter of Artificial Photosynthesis for Solar Fuels and Department of Chemistry, School of Science and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang Province, China.
Licheng SunCenter of Artificial Photosynthesis for Solar Fuels and Department of Chemistry, School of Science and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang Province, China. sunlicheng@westlake.edu.cn.ORCID http://orcid.org/0000-0002-4521-2870

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22088102National Natural Science Foundation of China (National Science Foundation of China) 223B2802
6 · The paper itself

Abstract

The electrooxidation of biomass platform molecules to produce highly value-added chemicals represents a promising technology for biomass utilization and carbon emission reduction. However, low production capacity and the lack of well-established engineering paradigms have constrained the practical application of this technology. Here, a green chemical process for the anion-exchange membrane (AEM) electrocatalytic 5-hydroxymethylfurfural oxidation (AEM-HMFOR) is proposed and applied to 2,5-furandicarboxylic acid (FDCA) production, with subsequent separation and purification. We demonstrate an optimized hundred-watt-scale AEM-HMFOR stack (164.8 W) for continuous FDCA production, with a high Faradaic efficiency (94.6%) and FDCA yield (96.2%) at 100% single-pass conversion efficiency (SPCE). This stack operates stably for over 100 hours with a space-time yield (STY) of 367.2 mg h

Identifiers

PMID41605930
PMCPMC12954071

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.