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Updated: Sep 11, 2026

Bridging the Bio-Electronic Interface with Biofabrication
Published on: June 6, 2012
Gallic Acid-Crosslinked EmimBr/AA Ionogels Derived from a Polymerizable Deep Eutectic Solvent toward Intelligent
Mengmeng Cao1, Nan Li1,2, Xingxiang Ji1
1State Key Laboratory of Green Papermaking and Resource Recycling, Qilu University of Technology, Shandong Academy of Sciences, Jinan250353, China.
Abstract:
Flexible ionogels are promising candidates for next-generation human-machine interfaces; however, achieving a balanced combination of mechanical robustness, optical transparency, ionic conductivity, and environmental stability remains a persistent challenge. Herein, we report a multifunctional ionogel derived from a polymerizable deep eutectic solvent (PDES) composed of 1-ethyl-3-methylimidazolium bromide and acrylic acid (EmimBr/AA), in which gallic acid (GA) is introduced as a multivalent hydrogen-bond donor and dynamic physical crosslinking hub, thereby eliminating the need for additional chemical crosslinkers. Benefiting from the synergistic effects of the PDES matrix and GA-mediated molecular-scale interactions, the resulting poly(EmimBr/AA/GA) ionogels exhibit a well-balanced set of properties, including a tensile strength of 0.84 MPa, an elongation at break of 1556%, high optical transparency (>92%), an ionic conductivity of 4.4 × 10-3 S m-1, and strong interfacial adhesion (54 kPa on copper). In addition, the reversible dynamic interactions endow the ionogels with intrinsic self-healing capability (91.2% healing efficiency after 4 h at 100 °C) and recyclability. As proof-of-concept applications, the ionogels were successfully integrated into skin-attachable strain sensors, a 4 × 4 tactile array, and a customized convolutional neural network-assisted smart glove, achieving classification accuracies of 98.5% for 10-class fine hand gestures and 99.08% for 5-class macroscopic body motions. This work offers a general strategy for constructing sustainable, crosslinker-free, high-performance ionogels for intelligent wearable electronics and advanced human-machine interfaces.
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