Percolating Network of Ultrathin Gold Nanowires and Silver Nanowires toward "Invisible" Wearable Sensors for Detecting Emotional Expression and Apexcardiogram
Percolating Network of Ultrathin Gold Nanowires and Silver Nanowires toward "Invisible" Wearable Sensors for Detecting Emotional Expression and Apexcardiogram
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DOI：
10.1002/adfm.201700845
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发表时间：
2017-07-05
影响因子：
19
通讯作者：
Cheng, Wenlong
中科院分区：
文献类型：
--
作者：
Ho, My Duyen;Ling, Yunzhi;Cheng, Wenlong
2 nm薄的金纳米线（AuNWs）具有极高的纵横比（接近10 000）并且是纳米级软构建块;这不同于常规的银纳米线（AgNWs），其更刚性。在这里，高灵敏度，可拉伸，可修补，和透明的应变传感器的基础上制造的软/硬网络的混合膜。它们具有机械可拉伸性、光学透明性和导电性，并且使用简单且具有成本效益的溶液工艺制造。柔软和更坚硬的纳米线的组合使其能够用作高性能应变传感器，在低应变（< 5%）下最大应变系数（GF）约为236，最高可拉伸性高达70%应变，光学透明度为58.7%至66.7%，具体取决于AuNW组分的量。传感器可以检测低至0.05%的应变，并且在低至0.1 V的电压下工作是节能的。这些属性难以用AuNW或AgNW的单个组件来实现。出色的传感性能表明其作为用于生物特征信息收集的“不可见”可穿戴传感器的潜在应用，如用于检测面部表情、呼吸和心尖心动图的应用中所示。
2 nm thin gold nanowires (AuNWs) have extremely high aspect ratio (approximate to 10 000) and are nanoscale soft building blocks; this is different from conventional silver nanowires (AgNWs), which are more rigid. Here, highly sensitive, stretchable, patchable, and transparent strain sensors are fabricated based on the hybrid films of soft/hard networks. They are mechanically stretchable, optically transparent, and electrically conductive and are fabricated using a simple and cost-effective solution process. The combination of soft and more rigid nanowires enables their use as high-performance strain sensors with the maximum gauge factor (GF) of approximate to 236 at low strain (< 5%), the highest stretchability of up to 70% strain, and the optical transparency is from 58.7% to 66.7% depending on the amount of the AuNW component. The sensors can detect strain as low as 0.05% and are energy efficient to operate at a voltage as low as 0.1 V. These attributes are difficult to achieve with a single component of either AuNWs or AgNWs. The outstanding sensing performance indicates their potential applications as "invisible" wearable sensors for biometric information collection, as demonstrated in applications for detecting facial expressions, respiration, and apexcardiogram.