Evidence map›Paper›PMID 41792296›Full record

ArticleScientific reports2026

Impact of over compressing gas diffusion electrodes in alkaline zero-gap CO

Aida Farsi, Vasant Batta, Alexandre Tugirumubano, Tess Seip, Aimy Bazylak

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Aida FarsiBazylak Group, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Vasant BattaBazylak Group, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Alexandre TugirumubanoBazylak Group, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Tess SeipBazylak Group, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Aimy BazylakBazylak Group, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada. aimy.bazylak@utoronto.ca.

Funding

National Research Council Canada Dorothy Killam
6 · The paper itself

Abstract

The electrochemical reduction of CO2 offers a promising route to valuable fuels; however, stable performance is hindered by gas–liquid transport limitations in the cathode gas diffusion electrode (GDE), which are directly affected by GDE compression. Here, we showed that operating an alkaline zero-gap CO2 electrolyzer at a compression ratio (CR) of 10% achieved higher CO faradaic efficiency compared to CR = 20% and 30%. The improved performance is attributed to the fewer obstructions to gas transport in the 10% compressed cathode GDE, as evidenced by lower quantities of flooded anolyte and salt precipitates observed via synchrotron X-ray radiography. Less salt precipitate formation in the cathode at CR = 10% is further demonstrated by an 82% smaller mass transport resistance compared to CR = 30%, a result attributed to larger pores in the less compressed GDE that mitigate anolyte entrapment. Additionally, lower amounts of anolyte are observed at the cathode flow field–GDE interface at CR = 10%, whereas at CR = 30%, excess liquid at this interface led to CO2 gas inlet blockage and cell voltage instabilities. As such, operating the CO2 electrolyzer at lower CRs is recommended to facilitate gas–liquid transport within the cathode GDE and thereby improve overall cell performance.

Indexed as

CO2 electrolyzerFaradaic efficiencyFloodingMechanical compressionPrecipitate degradation

Identifiers

PMID41792296
PMCPMC13084000

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.