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Ion-conductive self-healing hydrogels based on an interpenetrating polymer network for a multimodal sensor
- Source :
- Chemical Engineering Journal. 371:452-460
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Conductive self-healing polymer hydrogel and related soft sensor devices are receiving considerable attention from academia to industry because of their impacts on the lifetime and ergonomic design of soft robotics, prosthesis, and health monitoring systems. However, the development of such a material has thus far been limited considering performances and accessibility. Herein, robustness, self-healing, and conductivity for soft electronic skin are realized by an interpenetrating polymer network (IPN) system based on chemical/ionic cross-linked poly(acrylic acid) containing ferric ions, intercalated with physically cross-linked poly(vinyl alcohol). This IPN hydrogel successfully satisfies all three aforementioned capabilities; elongation at break greater than 1400%; recovery to original mechanical properties greater than 80% after 24 h; and 0.14 S m−1 of ionic conductivity, which is electrically healable. Such ionic conductivity of hydrogels enables multimodal sensing capabilities, i.e., for strain, pressure, and temperature. Particularly, a uniquely designed dual sensor attached to a finger simultaneously detects mechanical folding and pressure changes independently and can undergo large deformation 1000 times repeated and heating up to 90 °C.
- Subjects :
- chemistry.chemical_classification
Vinyl alcohol
Materials science
General Chemical Engineering
Soft robotics
Electronic skin
02 engineering and technology
General Chemistry
Polymer
010402 general chemistry
021001 nanoscience & nanotechnology
Soft sensor
01 natural sciences
Industrial and Manufacturing Engineering
0104 chemical sciences
chemistry.chemical_compound
chemistry
Self-healing hydrogels
Environmental Chemistry
Ionic conductivity
Interpenetrating polymer network
Composite material
0210 nano-technology
Subjects
Details
- ISSN :
- 13858947
- Volume :
- 371
- Database :
- OpenAIRE
- Journal :
- Chemical Engineering Journal
- Accession number :
- edsair.doi...........46b8149a45acc395a13acbf74c7c5dc6