Additive manufacturing and applications of nanomaterial-based sensors
Additive manufacturing and applications of nanomaterial-based sensors
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DOI：
10.1016/j.mattod.2021.02.001
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发表时间：
2021-03
期刊：
影响因子：
24.2
通讯作者：
Xiaoyu Sui;J. Downing;M. Hersam;Junhong Chen
中科院分区：
文献类型：
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作者：
Xiaoyu Sui;J. Downing;M. Hersam;Junhong Chen
纳米尺度材料具有独特的物理和化学属性，包括尺寸依赖性、量子限制、高表面积体积比和优异的上级催化活性。这些独特的品质使传感器具有高灵敏度，鲁棒性和快速响应时间。随着物联网（IoT）的出现需要增加传感器的生产，它也为集中的纳米材料传感器研究提供了动力。与此同时，基于纳米材料的传感器的增材制造（AM）对于弥合一次性实验室规模制造与具有高再现性的成本效益的工业规模生产之间的差距至关重要。通过应用AM技术的设计灵活性和成本节约，新一代基于纳米材料的传感平台可以与消费领域的物联网设备集成。此外，人机界面、食品安全和即时诊断方面的紧急研究将通过开发可以以不规则形状因子打印的传感器来加速。在这篇综述中，讨论了基于零维、一维和二维纳米材料的印刷传感器系统的相对优势和劣势。此外，传感器启用可打印的软纳米材料，异质结构和纳米复合材料进行了调查，由于其协同优势，可穿戴医疗保健监测和软机器人。最后，为未来十年的研究这一主题的路线图。
Nanoscale materials possess distinct physical and chemical attributes including size-dependent properties, quantum confinement, high surface-to-volume ratio, and superior catalytic activity. These unique qualities enable sensors with high sensitivity, robustness, and fast time response. As the emergence of the Internet of Things (IoT) demands increased production of sensors, it also provides an impetus for concentrated nanomaterial-based sensor research. Meanwhile, additive manufacturing (AM) of nanomaterial-based sensors is critical to bridge the gap between one-off, lab-scale fabrication and cost-effective, industrial-scale production with high reproducibility. By applying the design flexibility and cost savings of AM techniques, a new generation of nanomaterial-based sensing platforms can be integrated with IoT devices in the consumer space. Furthermore, emergent research in human–machine interfaces, food safety, and point-of-care diagnostics will be expedited by the development of sensors that can be printed with irregular form factors. In this Review, the relative strengths and weaknesses of printed sensor systems based on zero-, one-, and two-dimensional nanomaterials are discussed. In addition, sensors enabled by printable soft nanomaterials, heterostructures, and nanocomposites are surveyed due to their synergistic advantages for wearable healthcare monitoring and soft robotics. Finally, a roadmap for the next decade of research on this topic is provided.