Effects of ambient humidity and temperature on the NO2 sensing characteristics of WS2/graphene aerogel
- Univ. of California, Berkeley, CA (United States); Hangzhou Dianzi Univ., Hangzhou (China)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. of California, Berkeley, CA (United States)
The effects of ambient humidity and temperature on the NO2 sensing characteristics of WS2/graphene aerogel (WS2/GA) composite are investigated. In order to probe the gas sensing performances of WS2/GA, the sensor is fabricated by integrating WS2/GA with a microfabricated two-electrode device. The WS2/GA is characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), Raman spectroscopy, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and nitrogen porosimetry. This hybrid nanomaterial is found to improve the selectivity to NO2, compared to control graphene and WS2 aerogels. The NO2 sensing performance of the WS2/GA-based sensors is investigated under different relative humidities (0–60%), and ambient temperatures (room temperature (RT) to 180 °C). In all instances, the sensors exhibit p-type behavior. In dry atmosphere, faster response and better recovery are obtained with increasing temperature, reaching optimum sensing performance around 180 °C. At room temperature, interestingly, humidity is found helpful for enhancing the response and recovery of the sensor to NO2. Detection limits in the range of 10–15 ppb NO2 were determined. A potential gas sensing mechanism for this composite aerogel is introduced.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Materials Sciences & Engineering Division; US Air Force Office of Scientific Research (AFOSR)
- Grant/Contract Number:
- AC52-07NA27344; AC02-05CH11231; FA9550-14-1-0323
- OSTI ID:
- 1548316
- Alternate ID(s):
- OSTI ID: 1548412
- Report Number(s):
- LLNL-JRNL-750568; 936041
- Journal Information:
- Applied Surface Science, Vol. 450, Issue C; ISSN 0169-4332
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Similar Records
3D MoS2 Aerogel for Ultrasensitive NO2 Detection and Its Tunable Sensing Behavior
Boron Doping and Defect Engineering of Graphene Aerogels for Ultrasensitive NO 2 Detection