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Related Experiment Video

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A Real-world What-Where-When Memory Test
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Shape-Memory-Assisted Self-Healing and Real-Time Acidic Environment Detection in Multifunctional Electrospun Fibers.

Huan-Ru Chen1, Yi-Fan Chen1, Tse-Yu Lo1

  • 1Department of Applied Chemistry, National Yang Ming Chiao Tung University, 300093 Hsinchu, Taiwan.

ACS Applied Materials & Interfaces
|January 30, 2026
PubMed
Summary
This summary is machine-generated.

New smart fibers combine shape-memory self-healing with acid-triggered color change for adaptive textiles. These advanced materials offer damage repair and environmental monitoring for next-generation wearable electronics and protective clothing.

Keywords:
acidochromic materialselectrospinningself-healing fibersshape-memory polymerssmart textiles

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Area of Science:

  • Materials Science
  • Polymer Chemistry
  • Textile Engineering

Background:

  • Smart fiber systems with self-healing and environmental responsiveness are crucial for advanced applications like wearable electronics and protective clothing.
  • Integrating multiple functionalities into single fibers presents a significant materials design challenge.

Purpose of the Study:

  • To develop a multifunctional electrospun fiber platform integrating shape-memory-assisted self-healing and acid-triggered chromism.
  • To investigate the effect of polymer composition on fiber morphology, self-healing efficiency, and chromic responsiveness.

Main Methods:

  • Fabrication of electrospun fibers from thermoplastic polyurethane (TPU)/poly(ε-caprolactone) (PCL) blends doped with the acid-sensitive dye ODB-2.
  • Utilizing distinct thermal transitions of TPU and PCL for programmable deformation, recovery, and thermally activated interfacial diffusion for self-healing.
  • Characterization of chemical structure, morphology, and functional performance including chromic reversibility and self-healing efficiency.

Main Results:

  • TPU-rich blends demonstrated uniform fiber morphology, stable chromic reversibility over multiple acid-base cycles, and high self-healing efficiencies (up to 95%).
  • PCL-rich compositions resulted in larger fiber diameters, diminished chromic response, and incomplete mechanical recovery.
  • Polymer composition was found to significantly govern both structural features and functional outcomes of the smart fibers.

Conclusions:

  • The developed fiber platform successfully integrates shape-memory, self-healing, and chromic responsiveness for smart polymer fibers.
  • This work provides a versatile design strategy for smart fibers capable of damage repair and real-time environmental monitoring.
  • The approach holds potential for next-generation wearable electronics, intelligent textiles, and adaptive membranes for dynamic environments.