Scalable-Manufactured Self-Healing Strain Sensors Based on Ions-Intercalated Graphene Nanosheets and Interfacial Coordination
Scalable-Manufactured Self-Healing Strain Sensors Based on Ions-Intercalated Graphene Nanosheets and Interfacial Coordination
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基于离子插层石墨烯纳米片和界面协调的可扩展制造的自修复应变传感器
DOI：
10.1021/acsami.9b06208
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发表时间：
2019
影响因子：
9.5
通讯作者：
Zhuo Zheng
中科院分区：
文献类型：
--
作者：
Yumeng Tang;Quanquan Guo;Zhenming Chen;Xinxing Zhang;Canhui Lu;Jie Cao;Zhuo Zheng
对于高灵敏度和可拉伸的传感器来说，理想的机械强度和自修复性能是非常重要的，以满足其实际应用。然而，平衡这两个关键性能参数仍然是一个巨大的挑战。在这里，我们提出了一个简单的，大规模的，具有成本效益的路线，以制造自主自愈应变传感器具有令人满意的机械性能。具体而言，离子插层机械研磨用于实现石墨烯纳米片（GNs）的大规模制备。然后，基于界面金属配体配位，在橡胶基体中构建了有序的GN纳米结构网络。所得的纳米复合材料显示出理想的机械性能（比没有界面配位的对照样品高1.5倍）、优异的自修复性能（甚至在各种苛刻条件下可修复，例如，在水下、在零度以下温度下或暴露在酸性和碱性条件下）和应变敏感性（应变系数为1.45 573.1）。精心设计的应变传感器为可规模化生产自修复应变传感设备提供了一种可行的方法，使其有希望用于进一步的应用，包括人工皮肤，智能机器人和其他电气设备。
Desirable mechanical strength and self-healing performance are very important to highly sensitive and stretchable sensors to meet their practical applications. However, balancing these two key performance parameters is still a great challenge. Herein, we present a simple, large-scale, and cost-efficient route to fabricate autonomously self-healing strain sensors with satisfactory mechanical properties. Specifically, ion-intercalated mechanical milling was utilized to realize the large-scale preparation of graphene nanosheets (GNs). Then, a well-organized GN-nanostructured network was constructed in a rubber matrix based on interfacial metal–ligand coordination. The resultant nanocomposites show desirable mechanical properties (∼5 times higher than that of control sample without interfacial coordination), excellent self-healing performance (even healable in various harsh conditions, for example, underwater, at subzero temperature or exposed in acidic and alkaline conditions), and ultrahigh sensitivity (gauge factor ≈ 45 573.1). The elaborately designed strain sensors offer a feasible approach for the scalable production of self-healing strain-sensing devices, making it promising for further applications, including artificial skin, smart robotics, and other electrical devices.