Evidence map›Paper›PMID 39554457›Full record

ArticleACS omega2024

Dye-Decolorizing Peroxidases Maintain High Stability and Turnover on Kraft Lignin and Lignocellulose Substrates.

Silja Välimets, Lorenz Schwaiger, Alexandra Bennett, Daniel Maresch, Roland Ludwig, Stephan Hann, Dolores Linde, Francisco Javier Ruiz-Dueñas, Clemens Peterbauer

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

Silja VälimetsDepartment of Food Science and Technology, Institute of Food Technology, BOKU University, Muthgasse 11, 1190 Vienna, Austria.
Lorenz SchwaigerDepartment of Food Science and Technology, Institute of Food Technology, BOKU University, Muthgasse 11, 1190 Vienna, Austria.ORCID https://orcid.org/0000-0002-6617-5677
Alexandra BennettDepartment of Chemistry, Institute of Analytical Chemistry, BOKU University, Muthgasse 18, 1190 Vienna, Austria.
Daniel MareschCore Facility Mass-spectrometry, BOKU University, Muthgasse 11, 1190 Vienna, Austria.
Roland LudwigDepartment of Food Science and Technology, Institute of Food Technology, BOKU University, Muthgasse 11, 1190 Vienna, Austria.ORCID https://orcid.org/0000-0002-5058-5874
Stephan HannDoctoral Programme BioToP - Biomolecular Technology of Proteins, BOKU University, Muthgasse 18, 1190 Vienna, Austria.ORCID https://orcid.org/0000-0001-5045-7293
Dolores LindeCentro de Investigaciones Biológicas Margarita Salas (CIB), Consejo Superior de Investigaciones Científicas (CSIC), Ramiro de Maeztu 9, 28040 Madrid, Spain.
Francisco Javier Ruiz-DueñasCentro de Investigaciones Biológicas Margarita Salas (CIB), Consejo Superior de Investigaciones Científicas (CSIC), Ramiro de Maeztu 9, 28040 Madrid, Spain.
Clemens PeterbauerDepartment of Food Science and Technology, Institute of Food Technology, BOKU University, Muthgasse 11, 1190 Vienna, Austria.ORCID https://orcid.org/0000-0002-8033-198X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal enzyme systems for the degradation of plant cell wall lignin, consisting of, among others, laccases and lignin-active peroxidases, are well characterized. Additionally, fungi and bacteria contain dye-decolorizing peroxidases (DyP), which are also capable of oxidizing and modifying lignin constituents. Studying DyP activity on lignocellulose poses challenges due to the heterogeneity of the substrate and the lack of continuous kinetic methods. In this study, we report the kinetic parameters of bacterial DyP from

Identifiers

PMID39554457
PMCPMC11561623

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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.