Stable, High-Sensitivity, and Rapid-Response Humidity Sensor Based on Ultrathin Graphene Oxide Film after Vacuum Annealing

被引:0
作者
Meng, Deshuai [1 ]
Cao, Yang [1 ]
Luo, Yi [1 ]
Pang, Ke [1 ]
Zhang, HuiYin [1 ]
机构
[1] Beijing Informat Sci & Technol Univ, Sch Instrumentat Sci & Optoelect Engn, Beijing 100192, Peoples R China
关键词
ultrathin GO; high-sensitivity; vacuum annealing; temperature stability; humidity sensor; CONDUCTIVITY; SURFACE;
D O I
10.1021/acsaelm.4c02165
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Graphene oxide (GO) contains a significant number of hydrophilic oxygen-containing functional groups (OCGs) within its molecular structure, which can facilitate the adsorption of water molecules. Therefore, GO is considered to be an effective moisture-sensitive material. However, GO is inherently unstable and highly susceptible to temperature variations. Herein, we report a high-performance resistive humidity sensor utilizing an ultrathin GO film, prepared by drop-casting a single-layer GO aqueous dispersion and subsequently vacuum annealing at 120 degrees C. The sensor demonstrates excellent temperature stability for the ambient temperature range of 20-80 degrees C. Additionally, it exhibits high sensitivity and rapid-response humidity sensing capabilities within a humidity range of 20-90% relative humidity (RH). The sensitivity of the sensor reaches 4.29 M Omega/%RH, which is 3 orders of magnitude higher than that of similar sensors operating on the same principles. The response time and recovery time are about 0.32 and 0.42 s, respectively, among the rapidest GO-based resistive humidity sensors reported to date. Due to the rapid response and high sensitivity, the sensor enables noncontact monitoring of human breath as well as monitoring the distance between human fingers and the sensor. Furthermore, we fabricated flexible GO humidity sensors, which demonstrate great potential for applications in wearable devices for monitoring vital signs related to humidity.
引用
收藏
页码:2741 / 2750
页数:10
相关论文
empty
未找到相关数据