Evidence map›Paper›PMID 40358033›Full record

ArticleACS applied materials & interfaces2025

Reversible Stiffening of Biopolymeric Hybrid Networks by Dynamically Switching Cross-Links

Jana T Reh, Sebastian Voigt, Leonard R Gareis, Ufuk Gürer, Stephan A Sieber, Berna Özkale, Oliver Lieleg

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. 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

7 authors.

Jana T RehSchool of Engineering and Design, Department of Materials Engineering, Technical University of Munich, Boltzmannstraße 15, Garching 85748, Germany.ORCID 0009-0005-1462-8311
Sebastian VoigtSchool of Engineering and Design, Department of Materials Engineering, Technical University of Munich, Boltzmannstraße 15, Garching 85748, Germany.ORCID 0009-0005-4999-0177
Leonard R GareisMunich Institute of Biomedical Engineering, Technical University of Munich, Boltzmannstraße 11, Garching 85748, Germany.ORCID 0009-0004-2278-7200
Ufuk GürerSchool of Engineering and Design, Department of Materials Engineering, Technical University of Munich, Boltzmannstraße 15, Garching 85748, Germany.ORCID 0009-0004-0016-7406
Stephan A SieberMunich Institute of Biomedical Engineering, Technical University of Munich, Boltzmannstraße 11, Garching 85748, Germany.ORCID 0000-0002-9400-906X
Berna ÖzkaleMunich Institute of Biomedical Engineering, Technical University of Munich, Boltzmannstraße 11, Garching 85748, Germany.ORCID 0000-0002-3016-9363
Oliver LielegSchool of Engineering and Design, Department of Materials Engineering, Technical University of Munich, Boltzmannstraße 15, Garching 85748, Germany.ORCID 0000-0002-6874-7456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving reversible stiffening of biopolymer networks in a controlled manner remains a challenging topic in materials science, especially when trying to assess the following changes in mechanical material properties in real time. To address these challenges, we here utilize a custom-made measurement setup that allows us to manipulate the cross-linking state of alginate-based hydrogels

Indexed as

AlginatesAnti-Bacterial AgentsCross-Linking ReagentsHydrogelsBiocompatible MaterialsBiopolymersDNAGlucuronic AcidHexuronic AcidsMucinsAlginatesAnti-Bacterial AgentsBiocompatible MaterialsBiopolymersCross-Linking ReagentsDNAGlucuronic AcidHexuronic AcidsHydrogelsMucinsantibacterialbiopolymerhydrogelsreversible cross-linkstunable stiffness

Identifiers

PMID40358033
PMCPMC12100592

What OpenQuestion holds

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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.