自愈水凝胶
污染物
吸附
执行机构
材料科学
光热治疗
石墨烯
智能材料
地下水修复
环境修复
机器人
化学工程
纳米技术
计算机科学
化学
污染
高分子化学
人工智能
有机化学
生态学
工程类
生物
作者
Quanquan Guo,Yannan Liu,Jize Liu,Yuyan Wang,Qinke Cui,Pingan Song,Xinxing Zhang,Chuhong Zhang
标识
DOI:10.1021/acs.chemmater.2c00625
摘要
The aquatic microplastic pollution has aroused worldwide concerns due to its potential risk to biological and ecological health, especially the microplastic compound pollutants (MCPs) with amplified biotoxicity. Self-powered soft robots integrating with simultaneous MCP detection and removal capacities represent an intelligent way to clear the contaminants from water, but it is still challenging to implement these properties in one single actuating material. Here, we propose a smart light-driven hydrogel actuator with hierarchical interpenetrating networks consisting of covalently bonded polyethyleneimine and polydopamine copolymers, graphene oxide nanosheets, and poly(N-isopropylacrylamide) hydrogels, which function as adsorbents for MCPs, photothermal converters, and actuating matrix, respectively. Thanks to the integrative hierarchical structure design, the resulted actuator can behave like a soft swimming robot to simultaneously identify and adsorb MCPs, which successfully incorporates multiple functionalities without compromising the responsiveness. The hydrogel actuator features an ultralow detection limit (0.98 μM for the ferric ion), excellent adsorbing selectivity (97.09% for ferric ion-adsorbed MCPs), high adsorption (94.63%) and desorption efficiency (99.12%), and multiple and untethered photothermal actuation performances. We believe this work will shed light on a promising construction strategy of intelligent soft robots for environmental remediation applications.
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