Back to Search Start Over

3D Mosaic Carbon Nanofiber Sensors for Room‐Temperature Detection of Methane and Other Dissolved Gases in Transformer Oil

Authors :
Chengcheng Xu
Jingjing Yang
Yang Wang
Xing Zheng
Yin Long
Hongfei Du
Xian Li
Chunjiang Bai
Xiaosong Du
Source :
Advanced Materials Interfaces, Vol 10, Iss 7, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley-VCH, 2023.

Abstract

Abstract Hydrocarbons and carbon oxides are typical dissolved gases in transformer oil that reflect the latent pitfalls, on‐line monitoring of their concentrations can effectively evaluate the operating status of the power transformer. However, these low‐concentration targets (especially for CH4) show high chemical inertness at room temperature, challenging the sensitive performance of current commonly used chemiresistive gas sensors. Herein, a strategy by combining traditional inorganic semiconductors to carbon nanofiber (CNF) via electrospinning–annealing route is described. Three optimized 3D mosaic films, CNFs scaffold incorporated with WO3, SnO2 and MoS2 nanoparticles, are obtained. Due to the large specific surface area of the 3D network, and the synergic and heterojunction effects between nanoparticles and CNFs, all three sensors exhibit high response to CH4 at room temperature, and also record distinguishable signals toward H2, C2H4, CO and CO2, revealing the three sensors are cross‐sensitive to the five analytes. Accordingly, preliminary discrimination of five dissolved gases is realized by principle component analysis. This study provides an effective and extendable solution of preparing room‐temperature chemiresistive sensors for the detection of CH4 and other gases, and offers a strategy for the construction of sensor array to achieve a high discrimination capability.

Details

Language :
English
ISSN :
21967350
Volume :
10
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Advanced Materials Interfaces
Publication Type :
Academic Journal
Accession number :
edsdoj.7220a3e2719b4882a73ae7b7b214b7fb
Document Type :
article
Full Text :
https://doi.org/10.1002/admi.202202216