High-Selectivity Laminated Gas Sensor Based on Characteristic Peak under Temperature Modulation.

ACS Sens

State Key Laboratory of Material Processing and Die &Mould Technology, Department of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China.

Published: February 2024

Aiming at the bottleneck problem of insufficient selectivity of metal oxide gas sensors, a reliable scheme to improve selectivity is proposed, that is, a laminated sensor structure of a gas-sensitive membrane plus catalytic membrane combined with the temperature modulation technology. It is presented as a highly selective ethanol sensor as an example for verification. The laminated gas sensor is made of Sr@SnO as the gas-sensing membrane and ZSM-5 as the catalytic membrane by the microelectro mechanical system. The results indicate that in temperature modulation mode, the Sr@SnO/ZSM-5-laminated sensor has good resistance gas-sensing response to most different types of gases but only shows a characteristic peak on the time-resistance and temperature-resistance curves of ethanol gas response. By defining and calculating this characteristic peak, the selectivity of ethanol gas response signal is improved. The Sr@SnO/ZSM-5 sensor also exhibits high sensitivity to ethanol gas at the parts per billion level, fast response/recovery time in seconds, excellent anti-interference, and stability, indicating the reliability and practicality of this highly selective scheme. This scheme is of great significance for the study of high selectivity of a metal oxide gas sensor and promotes its wide application.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acssensors.3c01831DOI Listing

Publication Analysis

Top Keywords

gas sensor
12
characteristic peak
12
temperature modulation
12
ethanol gas
12
laminated gas
8
selectivity metal
8
metal oxide
8
oxide gas
8
catalytic membrane
8
highly selective
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!