A highly sensitive room temperature humidity sensor based on 2D-WS2 nanosheets

Leonardi, S, Wlodarski, W, Li, Y, Donato, N, Sofer, Z, Pumera, M and Neri, G 2018, 'A highly sensitive room temperature humidity sensor based on 2D-WS2 nanosheets', FlatChem, vol. 9, pp. 21-26.


Document type: Journal Article
Collection: Journal Articles

Title A highly sensitive room temperature humidity sensor based on 2D-WS2 nanosheets
Author(s) Leonardi, S
Wlodarski, W
Li, Y
Donato, N
Sofer, Z
Pumera, M
Neri, G
Year 2018
Journal name FlatChem
Volume number 9
Start page 21
End page 26
Total pages 6
Publisher Elsevier BV
Abstract Ambient humidity monitoring is of outmost importance in many technological fields. For this reason, there is still a substantial interest in the development of new simple humidity sensors with high performances. Here it is presented a study to the development of a sensitive, selective and reliable conductometric humidity sensor based on two-dimensional (2D) WS2 nanosheets. The 2D nanomaterial was synthesized by exfoliation of a bulk WS2 with tertbutyllithium, and then deposited onto the interdigitated electrodes of a conductometric ceramic platform. To evaluate the sensing performances, the sensor was exposed to different relative humidity (RH) levels, recording in real time the change of conductivity of the 2D-WS2 layer. The sensor exhibited high sensitivity to humidity at room temperature, showing an increase of the current of about 3 orders of magnitude as RH value was varied between 8% and 85% with fast response and recovery times of 140 s and 30 s, respectively. Field tests, carried out to measure the environmental humidity, demonstrated the good performances of the developed sensor as a highly sensitive and reliable relative humidity probe for environmental applications.
Subject Materials Engineering not elsewhere classified
Keyword(s) Humidity sensor
Tungsten disulfide
WS2 nanosheets
DOI - identifier 10.1016/j.flatc.2018.05.001
Copyright notice © 2018 Elsevier B.V. All rights reserved.
ISSN 2452-2627
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