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Monodisperse Y-type CoO hierarchical nanostructure/reduced graphene oxide for improved NO2 detection at room temperature with enhanced moisture resistance.

Authors :
Wang, Guiting
Fan, Jiahui
Xie, Ying
Yu, Menghan
Li, Kun
Guo, Xu
Wu, Jingfeng
Shi, Keying
Pan, Kai
Source :
Sensors & Actuators B: Chemical. Nov2023, Vol. 394, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

The fabrication of high-performance gas-sensitive materials with enhanced moisture resistance is an important research topic. In this work, monodisperse Y-type CoO hierarchical nanostructures with a branch length of about 16 nm have been prepared, and then uniformly dispersed on the surface of reduced oxide graphene (rGO) by hot injection method. The composite exhibited a rapid response to NO 2 at room temperature. The optimal response was about 40–100 ppm NO 2 , the response time was 620 s to 10 ppm NO 2 and the detection limit was 0.01 ppm. It was due to the combination of more NO 2 adsorption active sites of Y-type CoO and faster carrier transfer of rGO. Even at high relative humidity (RH) conditions of 80%, the sensor still retained a high response value of about 90% of that measured at the normal RH (25%). The effective wrapping of stearate ligands inhibited the entrance of water vapor molecules, which could effectively improve the hydrophobic properties of the composite and resulted in enhanced moisture resistance. It may provide a new path for improved NO 2 detection with enhanced moisture resistance at room temperature. [Display omitted] • Y-type CoO/reduced graphene oxide was synthesized with a hot injection method. • The composite sensor exhibited a rapid response to NO 2 at room temperature. • The composite sensor also presented an improved moisture resistance. • The enhanced moisture resistance was due to the wrapping of stearate ligands. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09254005
Volume :
394
Database :
Academic Search Index
Journal :
Sensors & Actuators B: Chemical
Publication Type :
Academic Journal
Accession number :
171341277
Full Text :
https://doi.org/10.1016/j.snb.2023.134391