Evidence map›Paper›PMID 40391678›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Dynamic Bonds Reinforced Polyamide Elastomer for Biomedical Orthosis.

Zhen Li, Peiyao Yan, Hao Wang, Yuancheng Zhang, Junhua Kong, Wei Zhao, Xin Li, Xiaomeng Zhang, Zhe Cui, Peng Fu and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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. Article
  2. Review
  3. Dynamic Bonds Reinforced Polyamide Elastomer for Biomedical Orthosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

13 authors.

Zhen LiSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Peiyao YanDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.
Hao WangDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.
Yuancheng ZhangSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.ORCID https://orcid.org/0000-0002-8309-8140
Junhua KongInstitute of Materials Research and Engineering, Agency for Science Technology and Research (A∗STAR), Singapore, 138634, Singapore.
Wei ZhaoSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Xin LiSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Xiaomeng ZhangSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Zhe CuiSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Peng FuSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Xinchang PangSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Minying LiuSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Chaobin HeDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.ORCID https://orcid.org/0000-0001-8200-8337

Funding

Agency for Science, Technology and ResearchChina Postdoctoral Science Foundation 2024M750834Key R&D and Promotion Special (Scientific Problem Tackling) Project of Henan Province 242102231083National Natural Science Foundation of China 52403171National Research Foundation Singapore A-8002248-00-00
6 · The paper itself

Abstract

4D printing of shape memory polymers (SMPs) allows the 3D-printed structures to have adjustable shapes, properties, and functionalities, paving the way for intelligent devices and multifunctional applications. However, 4D-printed SMPs face challenges due to mechanical anisotropy and mediocre shape memory performance hampered by weak interlayer adhesion. This study innovatively integrates shape memory polyamide elastomer with 4D printing technology to develop a multifunctional intelligent orthosis. Here, a dynamic bonds (DBs) reinforced shape memory polyamide elastomer is developed using a twin-screw extruder through reactive extrusion. Dynamic covalent networks are introduced into polyamide elastomer, which enhances interlayer adhesion in 4D-printed objects by utilizing combined effects of multiple dynamic covalent bonds (DCBs) and hierarchical hydrogen bonds (DHBs), leading to the reduction of mechanical anisotropy and improvement of the mechanical and shape memory properties of the 4D printouts. 4D-printed objects demonstrated excellent macroscopic shape memory and reconfiguration, showcasing the versatility of this material, and the application for spinal orthosis is also demonstrated.

Indexed as

ElastomersNylonsOrthotic DevicesPrinting, Three-DimensionalHumansElastomersNylons4D printinginterfacial reinforcingmultiple dynamic bondspoly(urethane‐urea‐amide) elastomershape memory polymer

Identifiers

PMID40391678
PMCPMC12376624

What OpenQuestion holds

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LicenceCC BY
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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.