Ma Bo, Ma Jia-Nan, Song Pu, Wang Kai, Zhang De-Min, Li Qiang, Zhang Qiang, Sang Sheng-Bo
Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China.
ACS Appl Mater Interfaces. 2024 Mar 27;16(12):15215-15226. doi: 10.1021/acsami.4c00864. Epub 2024 Mar 14.
MXene, renowned for its natural "quantum-confined-superfluidic" (QSF) channels, demonstrates superior electrical/thermal conductivity, favorable hydrophilicity, and remarkable mechanical strength, rendering it an ideal candidate for multiresponsive actuators, which are promising for soft electronics and robots. Currently, most MXene-based actuators are mainly prepared by combining an active layer and an inner layer, with only a few utilizing regulated QSF channels. However, tailoring QSF channels for multiresponsive actuators is extremely challenging. Herein, we introduce a multiresponsive graphene oxide (GO)&FeO/MXene actuator that can respond to humidity, light, heat, electricity, and magnetic fields by constructing asymmetric QSF channels. The asymmetric water adsorption, transportation, and desorption behaviors, controlled by the different QSF channels between the GO&FeO layer and the MXene layer, enable the multiresponsiveness of the actuator. As proof-of-concept demonstrations, several smart devices, such as a bionic crab-like crawler, a transporting flower robot, and a smart gripper, are prepared, holding great potential for advancing future soft robotics.
MXene以其天然的“量子限域超流体”(QSF)通道而闻名,具有卓越的电导率/热导率、良好的亲水性和出色的机械强度,使其成为多响应致动器的理想候选材料,这类致动器在软电子学和机器人领域具有广阔前景。目前,大多数基于MXene的致动器主要通过将活性层和内层结合来制备,只有少数利用了经过调控的QSF通道。然而,为多响应致动器定制QSF通道极具挑战性。在此,我们介绍一种多响应氧化石墨烯(GO)&FeO/MXene致动器,它可以通过构建不对称的QSF通道来响应湿度、光、热、电和磁场。由GO&FeO层和MXene层之间不同的QSF通道控制的不对称水吸附、传输和解吸行为,实现了致动器的多响应性。作为概念验证演示,制备了几种智能设备,如仿生螃蟹状爬行器、运输花机器人和智能夹具,为推动未来软机器人技术发展具有巨大潜力。