Evidence map›Paper›PMID 42584603›Full record

ArticleJournal of the American Chemical Society2026

A KO2-Based Solid Superoxide Reservoir for Irreversible Capacity Compensation in Superoxide-Based Na-O2 Batteries.

Cuiyi Deng, Yu Zhong, Lei Qin, Yiying Wu

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 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.

Cuiyi DengInstitute for Advanced Study (IAS), Shenzhen University, Shenzhen518060, PR China.
Yu ZhongInstitute for Advanced Study (IAS), Shenzhen University, Shenzhen518060, PR China.ORCID 0009-0002-3717-1113
Lei QinInstitute for Advanced Study (IAS), Shenzhen University, Shenzhen518060, PR China.ORCID 0000-0002-9084-2601
Yiying WuDepartment of Chemistry and Biochemistry, The Ohio State University, 100 West 18th Avenue, Columbus, Ohio43210, United States.ORCID 0000-0001-9359-1863

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2025A1515010810Guangdong Provincial Project 2024QN11C266National Natural Science Foundation of China 52301280Scientific Foundation for Youth Scholars of Shenzhen University 868-000001032171Shenzhen Science and Technology Innovation Program JCYJ20240813142526034Shenzhen Science and Technology Innovation Program JCYJ20250604182101002
6 · The paper itself

Abstract

Sodium-oxygen (Na-O2) batteries are plagued by persistent discharge-charge capacity imbalances stemming from parasitic reactions and the incompletely reversible oxygen redox chemistry induced by the reactive superoxide species. Herein, we propose the integration of commercial potassium superoxide (KO2) as a sacrificial solid reservoir to actively compensate for the rechargeable superoxide loss in sodium superoxide (NaO2)-based Na-O2 batteries. Mechanistic and spectroscopic investigations reveal that the preloaded KO2 serves a dual function: it acts as an extra superoxide source to directly replenish early stage capacity losses while simultaneously functioning as a promoter to mediate the formation of NaO2. Benefiting from this reservoir-mediated regulation, the KO2-configured Na-O2 cells exhibit unprecedented cyclability, delivering a near-unity Coulombic efficiency (98.5% on average) and sustaining a prolonged lifespan of over 600 cycles. This work establishes a robust paradigm for active capacity compensation, offering a highly scalable design principle to unlock the full potential of alkali metal-air battery systems.

Identifiers

PMID42584603
PMCPMC13474932

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.