TY - JOUR
T1 - MXene triggers room-temperature 4D printing of advanced ionic hydrogels for sensitive electronic skin
AU - He, Qinglong
AU - Zhao, Chendong
AU - Jiang, Yuanjie
AU - Liu, Jimei
AU - Liu, Xinyu
AU - Jia, Rui
AU - Yang, Cheng
AU - Liao, Mengzhou
AU - Zhao, Yan
AU - Kong, Desheng
AU - Nicolosi, Valeria
AU - Pan, Caofeng
AU - Zhang, Chuanfang
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - 3D-printed structured hydrogels hold significant promise for applications in human-machine interfaces, electronic skins, and health monitoring. However, their development is hampered by the inherent conflict between rapid fabrication and slow growth of long-chain polymer, manifesting as low mechanical strength and high hysteresis. Herein, we developed an aqueous interfacial diffusive polymerization (AIDP) strategy by leveraging spatially distributed MXene to trigger the generation of free radicals at room-temperature. This strategy effectively decouples the 3D printing shaping process from the subsequent long-chain growth. The preliminary framework further polymerizes in the initiator bath and develops into a dense, highly-entangled network with time – a technique designated as 4D printing. As a result, highly uniform, resolution hydrogels (~162 μm in width) with large tensile strength (0.73 MPa) and remarkably low hysteresis (< 3 % at 200 % strain) are achieved simultaneously. These enhanced mechanical properties enable stable acquisition of electrical signals when the ion-conductive hydrogel functions as a strain sensor. Furthermore, the hydrogel was integrated into a smart glove, demonstrating real-time, wireless device manipulation through finger-joints-activity signal classification using machine learning algorithms. This work demonstrates significant potential for next-generation flexible electronics and bio-interfaces.
AB - 3D-printed structured hydrogels hold significant promise for applications in human-machine interfaces, electronic skins, and health monitoring. However, their development is hampered by the inherent conflict between rapid fabrication and slow growth of long-chain polymer, manifesting as low mechanical strength and high hysteresis. Herein, we developed an aqueous interfacial diffusive polymerization (AIDP) strategy by leveraging spatially distributed MXene to trigger the generation of free radicals at room-temperature. This strategy effectively decouples the 3D printing shaping process from the subsequent long-chain growth. The preliminary framework further polymerizes in the initiator bath and develops into a dense, highly-entangled network with time – a technique designated as 4D printing. As a result, highly uniform, resolution hydrogels (~162 μm in width) with large tensile strength (0.73 MPa) and remarkably low hysteresis (< 3 % at 200 % strain) are achieved simultaneously. These enhanced mechanical properties enable stable acquisition of electrical signals when the ion-conductive hydrogel functions as a strain sensor. Furthermore, the hydrogel was integrated into a smart glove, demonstrating real-time, wireless device manipulation through finger-joints-activity signal classification using machine learning algorithms. This work demonstrates significant potential for next-generation flexible electronics and bio-interfaces.
KW - 4D printing
KW - Highly entangled networks
KW - MXene
KW - Skin sensors
KW - Triggering chemistry
UR - https://www.scopus.com/pages/publications/105020792605
U2 - 10.1016/j.cej.2025.170043
DO - 10.1016/j.cej.2025.170043
M3 - 文章
AN - SCOPUS:105020792605
SN - 1385-8947
VL - 525
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 170043
ER -