4.6 Article

Self-healing hydrogel sensors with multiple shape memory properties for human motion monitoring

Journal

NEW JOURNAL OF CHEMISTRY
Volume 45, Issue 1, Pages 314-320

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d0nj04923a

Keywords

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Funding

  1. National Key Research and Development Program of China [2017YFB0307001]
  2. National Natural Science Foundation of China [91648109]
  3. Jiangsu Provincial 333 High-level Talent Training Project
  4. Jiangsu Province Cultivation base for State Key Laboratory of Photovoltaic Science and Technology

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This study successfully prepared a self-healing hydrogel with multiple shape memory properties through one-step polymerization. The hydrogel exhibited high stretchability, tensile fracture strength, and self-healing properties, with the ability to fix temporary shapes quickly using different stimuli. The hydrogel was also used to fabricate resistive strain sensors and capacitive pressure sensors, showing potential applications in smart wearables and healthcare monitoring.
Shape memory hydrogels offer new opportunities for the development of smart wearables due to their intelligent responsiveness. In this study, a self-healing hydrogel with multiple shape memory properties was prepared via one-step polymerization. The synergy of dynamic electrostatic interactions and imine bonds afforded a physically and chemically dual-crosslinked hydrogel with high stretchability (maximum strain of 556%), tensile fracture strength (63 kPa), and self-healing properties (99% healing efficiency at 60 degrees C within 4 h). Through the reversible construction of physical crosslinking points, the temporary shape of the hydrogel was fixed by two different types of stimuli, pH and metal ions (Ag+, Zn2+, etc.), with the shortest shape fixation time of 15 s. Furthermore, the hydrogel was used to fabricate resistive strain sensors and capacitive pressure sensors, and both types displayed high sensitivity, stability, and cyclability. The sensors could detect various types of human body movement, such as finger bending, swallowing, and pulse, indicating a promising future in smart wearables and healthcare monitoring.

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