Bubble-assisted cleaning for primary amine oxidation towards ampere-level current densities.

Xichang Lin, Bo Li, Yisong Li, Anuj Kumar, Bin Ding, Jiazhong Wu, Liang Luo, Xiaoming 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.

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Xichang Lin *State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China.

Bo Li *State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China.

Yisong LiResearch Institute of Petroleum Exploration & Development, China National Petroleum Corporation, Beijing, China.

Anuj KumarNano-Technology Research Laboratory, Department of Chemistry, GLA University, Mathura, Uttar Pradesh, India.ORCID http://orcid.org/0000-0001-9374-6677

Bin DingResearch Institute of Petroleum Exploration & Development, China National Petroleum Corporation, Beijing, China.

Jiazhong WuResearch Institute of Petroleum Exploration & Development, China National Petroleum Corporation, Beijing, China.

Liang LuoState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China. luoliang@mail.buct.edu.cn.ORCID http://orcid.org/0000-0002-1739-4996

Xiaoming SunState Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID http://orcid.org/0000-0002-3831-6233

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22379005National Natural Science Foundation of China (National Science Foundation of China) 22539001

6 · The paper itself

Abstract

Organic molecular oxidation reactions are ideally regarded to be energy-saving alternative to replace oxygen evolution reaction (OER) for lowering the oxidation overpotential during green hydrogen production. However, the vast scale of hydrogen production is far beyond the fine chemical processes, inevitably resulting in substantial oxygen release. Here, we propose another type of coupled oxidation reactions to stably accommodate with high-current density hydrogen production, accompanied by easy separation. As taking benzylamine oxidation reaction (BOR) as a probe without other side reactions, we propose a bubble-assisted strategy by activating OER and utilizing the generated oxygen bubbles to timely take the insoluble product benzonitrile away from electrode surface, and effectively overcome the electrode poisoning issue. The assembled prototype water electrolyzer achieves a typical current density of 200 mA/cm

Identifiers

PMID42362545

DOI10.1038/s41467-026-74878-0

PMCPMC13454444

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LicenceCC BY

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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.