Evidence map›Paper›PMID 42360017›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Amidase-Catalyzed Desorption of CO

Yang Yang, Onur Kırtel, Silke Flindt Badino, Lea Helena Strother, Laura Rotilio, Jerik Mathew Valera Lauridsen, Stefanie Neun, Jens Preben Morth, Ji-Woong Lee, Ditte Hededam Welner and 1 more

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 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

11 authors.

Yang YangProtein and Enzyme Technology, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.ORCID https://orcid.org/0000-0002-7588-1653
Onur KırtelThe Novo Nordisk Foundation Biotechnology Research Institute For the Green Transition, Technical University of Denmark, Lyngby, Denmark.ORCID https://orcid.org/0000-0002-7454-6810
Silke Flindt BadinoProtein and Enzyme Technology, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.
Lea Helena StrotherThe Novo Nordisk Foundation Biotechnology Research Institute For the Green Transition, Technical University of Denmark, Lyngby, Denmark.
Laura RotilioProtein and Enzyme Technology, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.
Jerik Mathew Valera LauridsenThe Novo Nordisk Foundation CO2 Research Center (CORC), Aarhus University, Aarhus, Denmark.
Stefanie NeunNovonesis, Lyngby, Denmark.
Jens Preben MorthProtein and Enzyme Technology, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.
Ji-Woong LeeThe Novo Nordisk Foundation CO2 Research Center (CORC), Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0001-6177-4569
Ditte Hededam WelnerThe Novo Nordisk Foundation Biotechnology Research Institute For the Green Transition, Technical University of Denmark, Lyngby, Denmark.
Peter WesthProtein and Enzyme Technology, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.ORCID https://orcid.org/0000-0002-6185-0637

Funding

Novo Nordisk Foundation NNF21SA0072700 (CORC)Novo Nordisk Foundation NNF22SA0078767 (BIG)Novo Nordisk Foundation NNF23SA0086091 (ENDES)
6 · The paper itself

Abstract

Aqueous monoethanolamine (MEA) solutions can absorb CO

Indexed as

amidase/urethanasebiocatalysiscarbon captureCO2 desorptionmonoethanolamine

Identifiers

PMID42360017
PMCPMC13452561

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.