具有优良导电性能和高灵敏度的柔性应变传感器是可穿戴电子设备的理想选择.然而如何寻求最佳导电材料以及低成本大规模制造柔性应变传感器仍然是一个挑战.本文以高弹性氨纶(PU)为基材,利用浸渍涂覆和原位聚合方式,制备MX-ene、MXene-碳纳米管(CNT)和 MXene-聚苯胺(PANI)改性 PU 纱线(PU@MXene、PU@MXene-CNT、PU@MXene-PANI),分析改性方式对 PU纱线电化学及传感性能的影响.结果表明,PU改性方式对其电学性能具有重要的影响.单一MXene改性PU,纱线电导率仅为36.8 S/cm,CNT引入易在MXene片层间提供导电通路,纱线电导率提高到134.9 S/cm.相比之下,PU纱线原位聚合PANI,不仅可以形成均匀导电层,同时为MXene提供负载位点,使得PU纱线表面形成稳定均匀导电层,纱线电导率达到最高为948.8 S/cm,相比PU@MXene和PU@MXene-CNT分别提高了300%和90%.在不同应变曲率的人体运动监测方面,PU@MXene-PANI表现出高灵敏性和稳定的电信号输出.因此,该柔性应变传感器为下一代智能可穿戴设备提供了一个很好的选择.
Fabrication of a Strain Sensor Based on Spandex Yarn and Its Wearable Applications
Flexible strain sensors with excellent electrical conductivity and high sensitivity are ideal for wearable electronic devices.However,it is still a challenge to find the best conductive materials and manufacture flexible strain sensors at low cost.In this paper,MXene,MXene-carbon nanotube(CNT)and MXene-polyaniline(PANI)modified PU yarns(PU@MXene,PU@MXene-CNT,PU@MXene-PANI)were prepared by dipping coating and in-situ polymerization using high elastic spandex(PU)as substrate.The effects of modification methods on the electrochemical and sensing properties of PU yarns were analyzed.The results show that the modification of PU has an important effect on its electrical properties.With a single MXene-modified PU,the yarn conductivity is only 36.8 S/cm,and the introduction of CNT easily provides a conductive path between MXene sheets,and the yarn conductivity is increased to 134.9 S/cm.In contrast,by in-situ polymerization of PU yarns with PANI,a uniform conductive layer is formed and load sites for MXene are provided.A stable and uniform conductive layer could be formed on the surface of PU yarns,and the yarn conductivity is up to 948.8 S/cm,which is respectively 300%and 90%higher than that of PU@MXene and PU@MXene-CNT.For human motion monitoring with different strain curvatures,PU@MXene-PANI shows high sensitivity and stable electrical output.Therefore,this flexible strain sensor provides a good choice for the next generation of smart wearable devices.
万方数据
维普
