基于还原氧化石墨烯的干涉型光纤湿度传感器

Reduced Graphene Oxide-Based Interferometric Fiber-Optic Humidity Sensor

提出了一种利用微米光纤构成的Mach-Zehnder干涉光路结构,并利用热还原方法将光纤上覆盖的氧化石墨烯(GO)膜层转变为还原氧化石墨烯(RGO)膜层,实现了以干涉峰值对应波长为传感参量的湿度传感。传感器在相对湿度(RH)为45%~95%范围内达到的最大平均灵敏度为0.2768 nm/%RH。传感器对湿度变化的响应及恢复时间分别为6 s及30 s。研究显示,传感器对湿度及温度的响应具有不同的特点。传感器在湿度传感中具有良好的时间稳定性及较好的可恢复性。这种微米光纤干涉结构以及在该型光纤上覆盖RGO膜层的工艺方法为制备干涉型石墨烯光纤传感器提供了新的思路。

This study presents a microfiber-based Mach-Zehnder interferometric optical structure. The fiber-optic humidity sensing, which employs the wavelength corresponding to the interference peak as the sensing parameter, is realized using a thermal reduction method. The thermal reduction method changes graphene oxide(GO) film, which precovers the fiber, into a reduced graphene oxide(RGO) film. The sensor can achieve a maximum average sensitivity of 0.2768 nm/%RH in relative humidity range of 45%-95%. The response and recovery time of the sensor in humidity sensing are 6 s and 30 s, respectively. The humidity response and temperature response of the sensor exhibit different characteristics, and the sensor has good time stability and recoverability in humidity sensing. This study provides a novel interference-type graphene-based fiber-optic sensor fabrication method using the microfiber-based interference structure and process engineering that changes GO into RGO.