Evidence map›Paper›PMID 41690971›Full record

ArticleNature communications2026

Catalytic hybrid solvent regeneration in membrane vacuum processes for direct air capture.

Arash Momeni, Hossein Anisi, Rebecca V McQuillan, Masood S Alivand, Ali Zavabeti, Saeed Askari, Rui Zhang, Geoffrey W Stevens, Kathryn A Mumford

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

9 authors.

Arash MomeniDepartment of Chemical Engineering, The University of Melbourne, Melbourne, VIC, Australia.
Hossein AnisiDepartment of Chemical Engineering, The University of Melbourne, Melbourne, VIC, Australia.
Rebecca V McQuillanDepartment of Chemical Engineering, The University of Melbourne, Melbourne, VIC, Australia.
Masood S AlivandDepartment of Chemical Engineering, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-3391-914X
Ali ZavabetiDepartment of Chemical Engineering, The University of Melbourne, Melbourne, VIC, Australia.
Saeed AskariDepartment of Chemical Engineering, The University of Melbourne, Melbourne, VIC, Australia.
Rui ZhangCollege of Chemical Engineering, Xiangtan University, Xiangtan, Hunan, PR China.
Geoffrey W StevensDepartment of Chemical Engineering, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-5788-4682
Kathryn A MumfordDepartment of Chemical Engineering, The University of Melbourne, Melbourne, VIC, Australia. mumfordk@unimelb.edu.au.ORCID http://orcid.org/0000-0002-7056-5600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct Air Capture is a promising climate mitigation technology, but its deployment is limited by high energy demand. This study improves the energy efficiency and sustainability of liquid-based Direct Air Capture by integrating catalytic solvent regeneration and hybrid solvents with a low-temperature membrane vacuum regeneration process. Iron-sulfated zirconia catalysts supported on alumina and silica are synthesized and evaluated, with silica exhibiting superior catalytic performance. An optimal iron-sulfated zirconia to silica ratio of 1:1 reduces relative heat duty by up to 59.7% in the membrane vacuum system. To assess the impact of hybrid solvents on energy consumption, a solvent composed of 3 molar potassium taurinate and 1 molar potassium sarcosinate achieves a 69.1% improvement in CO

Identifiers

PMID41690971
PMCPMC12966427

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.