Evidence map›Paper›PMID 42247501›Full record

ArticleScience advances2026

Bioinspired spatiotemporal control of microhelix formation and actuation.

Xin Hu, Benjamin R Greenvall, Eric Chia, Zhaojie Zhang, Stephen S Nonnenmann, Alfred J Crosby

Abstract read
In one paragraph

Article in Science advances, 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

6 authors.

Xin HuDepartment of Polymer Science and Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA.ORCID 0000-0001-9355-6072
Benjamin R GreenvallDepartment of Polymer Science and Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA.ORCID 0000-0003-3758-6802
Eric ChiaDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA.ORCID 0000-0003-3935-5100
Zhaojie ZhangDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Stephen S NonnenmannDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA.ORCID 0000-0002-5369-9279
Alfred J CrosbyDepartment of Polymer Science and Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA.ORCID 0000-0001-8850-8869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Helical structures provide critical functions in structural stability, locomotion, and mechanical flexibility. Among the helical structures, the dynamic coiled tendril formation in climbing plants upon contact with support structures inspires the development of numerous helix-based actuators and soft robotics. However, achieving precise spatiotemporal control over helix formation and actuation at the microscale remains a challenge. We introduce a materials system in which the spatial location and dynamics of helix formation are governed by the intrinsic bending resulting from the differential swelling of polyacrylic acid copolymer hydrogels, with electric fields serving as the primary control for electroosmotic flow-induced swelling/deswelling phase transitions. By manipulating electric field polarity and using patterned substrates, we achieve reversible spatiotemporal control over helix formation and actuation. The swelling/deswelling mechanism enables the applications of rotary actuation and controlled microsphere capture-release. Our approach represents a notable advancement in the precise dynamical control of helix formation, opening avenues for the development of sophisticated microactuators and artificial muscle systems.

Identifiers

PMID42247501
PMCPMC13240167

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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 OpenQuestion graph.