Evidence map›Paper›PMID 42522845›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Vine Tendril-Inspired Cold-Programmable Shape-Memory Polymer Composites Using Sugar Beet Pulp.

Wei Huang, Vikramjeet Singh, Yu Wang, Junhao Chen, Mingjing Zhang, Gary J Lye, Helen C Hailes, Luna Jiang, Eral Bele, Manish K Tiwari

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, 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

10 authors.

Wei HuangNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London, UK.ORCID https://orcid.org/0000-0002-6472-904X
Vikramjeet SinghManufacturing Futures Laboratory, University College London, London, UK.
Yu WangDepartment of Biochemical Engineering, University College London, London, UK.
Junhao ChenNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London, UK.
Mingjing ZhangInstitute of Orthopaedic and Musculoskeletal Science, Royal National Orthopaedic Hospital, University College London, London, UK.
Gary J LyeDepartment of Biochemical Engineering, University College London, London, UK.ORCID https://orcid.org/0000-0002-6018-2091
Helen C HailesDepartment of Chemistry, University College London, London, UK.ORCID https://orcid.org/0000-0001-5574-4742
Luna JiangAdvanced Characterisation Lab For Materials and Manufacturing, UCL Mechanical Engineering, University College London, London, UK.
Eral BeleManufacturing Futures Laboratory, University College London, London, UK.
Manish K TiwariNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London, UK.ORCID https://orcid.org/0000-0001-5143-6881

Funding

AB Sugar for the provision of SBPEPSRC Sustainable Manufacturing EP/W019132/1InspiringFuture project (European Research Council (ERC) Consolidator, funded by UKRIRoyal Society Wolfson Fellowship for MKTUKRI Horizon Europe Guarantee EP/X023974/1Wellcome/EPSRC Centre for Interventional and Surgical Sciences 203145Z/16/ZWellcome Trust
6 · The paper itself

Abstract

Stimuli-responsive morphing in natural organisms enables dynamic adaptation to environmental challenges. Inspired by this, shape-memory polymers (SMPs) can undergo controlled shape transformations under external stimuli. However, conventional SMPs, typically constructed by uniform material networks, require heat-assisted programming to secure temporary shapes, which restricts their adaptability. By contrast, cold programming, deforming materials into a temporary shape without thermal activation, offers greater versatility but demands stringent material design. In this work, inspired by vine tendrils whose specialized cells enable asymmetric deformation (manifested macroscopically as coiling) under force, and motivated by the sustainability imperative of bio-derived materials in reducing dependence on fossil-based resources, we developed cold-programmable shape-memory polymer composites (SMPCs) incorporating bio-based sugar beet pulp (SBP). Through a magnetically assisted technique, heterogeneous domains were constructed within the SMPCs: a formulated SMP-rich region serving as the shape-stabilizing phase, and an SBP-enriched domain with a rough morphology enhancing mechanical resilience. After being stretched, the SMPCs underwent asymmetric recovery, enabling controlled actuations. This work highlights the potential of cold-programmable, deployable structures to advance smart material functionality while providing a sustainable pathway via bio-based components for emerging aerospace and soft robotics applications.

Indexed as

bio‐derived materialsbio‐inspired strategiescold programmingshape‐memory polymerssugar beet pulp

Identifiers

PMID42522845
PMCPMC13614295

What Socratic 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 Socratic graph.