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Dense Hydrogen-Bonding Network Boosts Ionic Conductive Hydrogels with Extremely High Toughness,Rapid Self-Recovery,and Autonomous Adhesion for Human-Motion Detection 被引量:2

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摘要 The construction of ionic conductive hydrogels with high transparency,excellent mechanical robustness,high toughness,and rapid self-recovery is highly desired yet challenging.Herein,a hydrogen-bonding network densification strategy is presented for preparing a highly stretchable and transparent poly(ionic liquid)hydrogel(PAM-r-MVIC)from the perspective of random copolymerization of 1-methyl-3-(4-vinylbenzyl)imidazolium chloride and acrylamide in water.Ascribing to the formation of a dense hydrogen-bonding network,the resultant PAM-r-MVIC exhibited an intrinsically high stretchability(>1000%)and compressibility(90%),fast self-recovery with high toughness(2950 kJ m^(-3)),and excellent fatigue resistance with no deviation for 100 cycles.Dissipative particle dynamics simulations revealed that the orientation of hydrogen bonds along the stretching direction boosted mechanical strength and toughness,which were further proved by the restriction of molecular chain movements ascribing to the formation of a dense hydrogen-bonding network from mean square displacement calculations.Combining with high ionic conductivity over a wide temperature range and autonomous adhesion on various surfaces with tailored adhesive strength,the PAM-r-MVIC can readily work as a highly stretchable and healable ionic conductor for a capacitive/resistive bimodal sensor with self-adhesion,high sensitivity,excellent linearity,and great durability.This study might provide a new path of designing and fabricating ionic conductive hydrogels with high mechanical elasticity,high toughness,and excellent fatigue resilience for skin-inspired ionic sensors in detecting complex human motions.
出处 《Research》 SCIE EI CAS CSCD 2021年第1期713-726,共14页 研究(英文)
基金 supported by the National Natural Science Foundation of China(grant number 21875033) the Shanghai Rising-Star Program(grant number 18QA1400200) the Shanghai Scientific and Technological Innovation Project(grant number 18JC1410600).
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