4.7 Article

Extremely stretchable and healable ionic conductive hydrogels fabricated by surface competitive coordination for human-motion detection

Journal

CHEMICAL ENGINEERING JOURNAL
Volume 420, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2020.127637

Keywords

Ionic conductive hydrogels; Self-buckled surface; Surface competitive coordination; Stretchability; Heat-accelerated self-healing; Wearable pressure sensor

Funding

  1. National Natural Science Foundation of China [21875033]
  2. Shanghai RisingStar Program [18QA1400200]
  3. Ministry of Education of the People's Republic of China [6141A02033233]
  4. Shanghai Scientific and Technological Innovation Project [18JC1410600]

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The SCR strategy was used to prepare a highly stretchable, excellent ionic conductivity and programmable wrinkled surface SPAH hydrogel for a skin-inspired pressure sensor. The SPAH demonstrated wide pressure response range, high sensitivity towards strain, low detection limit and excellent durability, showing great potential in applications involving human-machine interfaces, soft robotics, and artificial intelligence.
The construction of a surface-wrinkled ionic conductive hydrogel with highly stretchable and healable properties for a skin-inspired pressure sensor is desirable yet challenging. Here, a stretching/competitively-coordinating/releasing (SCR) strategy is presented for preparing a self-buckled polyacrylamide/alginate hydrogel (SPAH). Due to its high stretchability, excellent ionic conductivity and programmable wrinkled surfaces, the SPAH can readily work as an ionic conductor in a healable skin-inspired pressure sensor with adaptability and multi-functionality, achieving a wide pressure response range (25-20000 Pa), high sensitivity towards strain (3.19 kPa(-1)), low detection limit (<25 Pa) and excellent durability (>1400 cycles). As a proof-of-concept, a wearable SPAH pressure sensor can adequately monitor finger bending, knee flexion, speaking and breathing, showing high potentials in full-range and sophisticated motion monitoring across the applications involving human-machine interfaces, soft robotics, and artificial intelligence.

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