Journal
ADVANCED MATERIALS TECHNOLOGIES
Volume -, Issue -, Pages -Publisher
WILEY
DOI: 10.1002/admt.202301012
Keywords
adhesion; mechanical hysteresis; organohydrogels; self-growing; strain sensors
Categories
Ask authors/readers for more resources
In this study, low-hysteretic and adhesive organohydrogel-based strain sensors were prepared to improve the reliability and sensing performance. The mechanical hysteresis of the sensors was regulated by adjusting the concentration of aniline. The PAA layer ensured conformal contact with the skin, ensuring the integrity of the signals.
The hysteresis of deformation and weak interaction between sensors and targets would deteriorate the authenticity and reliability of signals outputted from the strain sensors. Here, low-hysteretic and adhesive organohydrogel-based strain sensors (P-H-A-A) are prepared according to the homogeneous growth of the conductive polyaniline (PANi) network and heterogeneous growth of the adhesive poly(acrylic acid) (PAA) layer from the poly(hydroxyethyl acrylate) (PHEA) seeds. Via regulating the concentration of aniline (ANi) in the ANi-nutrients, the mechanical hysteresis at 50% strain of P-H-A-A organohydrogels increased from 12 to 1896 kJ m-3. The relative resistance (& UDelta;R/R0) signals achieved from the low mechanical hysteresis P-H-A-A (0.1 m) strain sensors are timelier and more intact than the one from the obviously mechanical hysteretic P-H-A-A (0.5 m). The PAA layer makes the P-H-A-A strain sensors conformally in contact with the skin, ensuring the reliability and integrity of signals. This work would give some helpful suggestions for designing advanced epidermal electronics. Organohydrogel-based strain sensors show low mechanical hysteresis and moderate adhesion, which promote the sensing performance of the strain sensors. The signals are more real-time, reliable, and accurate achieved from the low mechanical hysteretic and adhesive strain sensors than the one based on heavy mechanical hysteretic and non-adhesive organohydrogel.image
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available