ArticleScience advances2023
Hydrogel-assisted microfluidic spinning of stretchable fibers via fluidic and interfacial self-adaptations.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 38 citations in OpenAlex.
- Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human-Machine Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- Ultralong, spin-photon fibres enable polarization-enhanced wearable sensing.Nature communications · 2026Article
- Continuous MXene fibers with near-gigapascal tensile strength via radial confinement and axial stretching.Nature communications · 2026Article
- Ionic Conductive Textiles for Wearable Technology.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Recent Advances in the Application Technologies of Surface Coatings for Fruits.Foods (Basel, Switzerland) · 2025Review
- Gas-liquid two-phase bubble flow spinning for hydrovoltaic flexible electronics.Nature communications · 2025Article
- MXene-MWCNT Conductive Network for Long-Lasting Wearable Strain Sensors with Gesture Recognition Capabilities.Micromachines · 2025Article
- Emerging innovations in electrically powered artificial muscle fibers.National science review · 2024Review
- Stretchable Sensor Materials Applicable to Radiofrequency Coil Design in Magnetic Resonance Imaging: A Review.Sensors (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stretchable polymeric fibers have enormous potential, but their production requires rigorous environmental controls and considerable resource consumption. It's also challenging for elastic polymers with high performance but poor spinnability, such as silicones like polydimethylsiloxane and Ecoflex. We present a hydrogel-assisted microfluidic spinning (HAMS) method to address these challenges by encapsulating their prepolymers within arbitrarily long, protective, and sacrificable hydrogel fibers. By designing simple apparatuses and manipulating the fluidic and interfacial self-adaptations of oil/water flows, we successfully produce fibers with widely controllable diameter (0.04 to 3.70 millimeters), notable length, high quality (e.g., smooth surface, whole-length uniformity, and rounded section), and remarkable stretchability (up to 1300%) regardless of spinnability. Uniquely, this method allows an easy, effective, and controllable reshaping production of helical fibers with exceptional stretchability and mechanical compliance. We deeply reveal the mechanisms in producing these fibers and demonstrate their potential as textile components, optoelectronic devices, and actuators. The HAMS method would be a powerful tool for mass-producing high-quality stretchable fibers.
Identifiers
What OpenQuestion holds
Registered trials
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.