Evidence map›Paper›PMID 42181855›Full record

ArticleRSC applied polymers2026

Methacrylated gelatin-based conductive self-healing hydrogels: a dual-scale approach for micro- and macro-sized soft materials.

Didem Aycan, Maria Regato-Herbella, Fereydoon Taheri, Angeles De la Cruz-García, Sebastian Weber, Neslihan Alemdar, Christine Selhuber-Unkel

Abstract read
In one paragraph

Article in RSC applied polymers, 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

7 authors.

Didem AycanInstitute for Molecular Systems Engineering and Advanced Materials (IMSEAM), Heidelberg University Heidelberg Germany didem.aycan@marmara.edu.tr.ORCID https://orcid.org/0000-0003-0706-3269
Maria Regato-HerbellaInstitute for Molecular Systems Engineering and Advanced Materials (IMSEAM), Heidelberg University Heidelberg Germany didem.aycan@marmara.edu.tr.
Fereydoon TaheriInstitute for Molecular Systems Engineering and Advanced Materials (IMSEAM), Heidelberg University Heidelberg Germany didem.aycan@marmara.edu.tr.
Angeles De la Cruz-GarcíaInstitute for Molecular Systems Engineering and Advanced Materials (IMSEAM), Heidelberg University Heidelberg Germany didem.aycan@marmara.edu.tr.
Sebastian WeberInstitute for Molecular Systems Engineering and Advanced Materials (IMSEAM), Heidelberg University Heidelberg Germany didem.aycan@marmara.edu.tr.
Neslihan AlemdarDepartment of Chemical Engineering, Marmara University İstanbul Turkey.
Christine Selhuber-UnkelInstitute for Molecular Systems Engineering and Advanced Materials (IMSEAM), Heidelberg University Heidelberg Germany didem.aycan@marmara.edu.tr.ORCID https://orcid.org/0000-0002-5051-4822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robotic microsystems, inspired by the flexibility of biological structures, have gained significant research interest due to their ability to navigate complex environments with high adaptability. Electroconductive hydrogels (ECHs) have emerged as promising materials for these systems, offering intrinsic softness, biocompatibility, and electrical conductivity. Here, we present an electroconductive hydrogel with multifunctionality developed using a dual-component conductive strategy, incorporating polyaniline (PANI)-silver (Ag) nanoparticles into a methacrylated gelatin (GelMa) network. The hydrogel was fabricated at two different length scales using complementary fabrication techniques. UV crosslinking was employed to produce macroscale hydrogels, while two-photon lithography was used to demonstrate the feasibility of fabricating microscale structures from the same material system. In addition to their structural versatility, the hydrogels exhibited self-healing behavior that enables autonomous recovery of both mechanical and electrical functionalities after damage, which is important for long-term operation in dynamic environments. Comprehensive characterization, including morphological, electrical, mechanical, and biological tests, confirmed the conductivity, cytocompatibility, and tunable mechanical properties of the hydrogel. The results suggest that this biopolymer-based, electroconductive hydrogel with self-healing ability is a highly promising candidate for next-generation soft robotic systems, offering a durable, adaptable, and bio-integrated solution for further soft robotic applications at both macro- and micro-scales.

Identifiers

PMID42181855
PMCPMC13192397

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.