Evidence map›Paper›PMID 42860535›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Sea Cucumber-Inspired Double-Network Biopolymer Hydrogels for Programmable Soft Machines.

Luo Yan, He Xiao, Purohit Prashant K, Vining Kyle H

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

4 authors.

Luo YanDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
He XiaoDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Purohit Prashant KDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-1939-907X
Vining Kyle HPreventive and Restorative Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-4009-879X

Funding

National Science FoundationUniversity of Pennsylvania Materials Research Science and Engineering Center DMR-2309043
6 · The paper itself

Abstract

Engineering biopolymer-based hydrogels with robust load-bearing capacity, reversible mechanical programmability, and adaptive actuation remains difficult due to weak physical crosslinking and porous structure. Inspired by the mutable dermis of sea cucumbers, a collagen-alginate double-network elastomeric (CoDE) hydrogel integrates a covalently crosslinked collagen cryogel scaffold with an ionically crosslinked alginate sacrificial network. This hydrogel system is inherently biocompatible and biodegradable. Compression-induced scaffold densification and ionic locking enable broad tuning of the compressive response, sustaining programmable peak stresses up to 16 MPa. CoDE exhibits reversible lock-unlock states while fully preserving its peak stress, elastic modulus, and energy dissipation after repeated loading to 85% compressive strain. Cyclic compressive loading mechanically "trains" the biopolymer hydrogel by altering its microstructure. Chemically triggering the release of stored elastic energy in the biopolymer network generates actuation forces. Further, CoDE is tested as a bio-inspired, externally driven swimmer that can be subjected to large-scale, repetitive deformation with predictable kinematics that match finite-element simulations at the device level. The CoDE platform has future applications for building soft-material machines for adaptive soft robotics, dynamic biointerfaces, and mechanically instructive biomaterials.

Indexed as

bio‐inspired materialsbiopolymersdouble‐network hydrogelsfatigue resistancemarine‐inspiredprogrammable mechanicssoft robotics

Identifiers

PMID42860535
PMCPMC13655269

What OpenQuestion holds

Textmetadata
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.