Morphology-Dependent Chemiresistive-Potentiometric Gas Sensing Properties of ZnO Nanorods for CH<sub>4</sub> and CO

In this study, one-dimensional ZnO nanorods sensing electrodes were grown in situ on the surface of the Ce 0.8 Gd 0.2 O 1.9 electrolyte to fabricate chemiresistive-potentiometric (C-P) bivariate sensors for the detection and identification of CH 4 and CO. Four C-P sensors were developed by adjusting the hydrothermal growth time of the nanorods. The effect of hydrothermal duration on the morphology of nanorods was examined. The C-P response to CH 4 and CO initially increased and then decreased with increasing hydrothermal duration. Similar variations in the response to the gas mixtures of CH 4 and CO with the hydrothermal duration were observed. The highest C and P response values for CH 4 , CO, and their mixtures were obtained at a hydrothermal duration of 1.5 h. The enhanced C-P sensing performance was discussed in terms of the defect density, the number of contact junctions, and the length of ZnO nanorods. Accurate differentiation of five different gases (CH 4 , CO, and three gas mixtures) with an identification accuracy of 100% was achieved by the array assembled with the ZnO-1.0 and the ZnO-1.5 sensors. Our findings demonstrate the morphology-dependent C-P sensing behaviors of ZnO nanorods and provide a facile and cost-effective method for the detection and identification of CH 4 and CO.

Authors

Publication Details

Journal
Journal of The Electrochemical Society
Published
2024-09-02
DOI
https://doi.org/10.1149/1945-7111/ad7988
Citations
3
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Morphology-Dependent Chemiresistive-Potentiometric Gas Sensing Properties of ZnO Nanorods for CH4 and CO

Dongyue Zhao, Shibin Nie, Siyu Wu, Hong Zhang et al.
3 citations
Journal of The Electrochemical Society
Gas Sensing Nanomaterials and Sensors
0.63
article

Morphology-Dependent Chemiresistive-Potentiometric Gas Sensing Properties of ZnO Nanorods for CH4 and CO

Dongyue Zhao, Shibin Nie, Siyu Wu, Hong Zhang, Zhu Yue-Long, Xiaoyong Liu, Songfeng Yin
article en
3 citations

Abstract

In this study, one-dimensional ZnO nanorods sensing electrodes were grown in situ on the surface of the Ce 0.8 Gd 0.2 O 1.9 electrolyte to fabricate chemiresistive-potentiometric (C-P) bivariate sensors for the detection and identification of CH 4 and CO. Four C-P sensors were developed by adjusting the hydrothermal growth time of the nanorods. The effect of hydrothermal duration on the morphology of nanorods was examined. The C-P response to CH 4 and CO initially increased and then decreased with increasing hydrothermal duration. Similar variations in the response to the gas mixtures of CH 4 and CO with the hydrothermal duration were observed. The highest C and P response values for CH 4 , CO, and their mixtures were obtained at a hydrothermal duration of 1.5 h. The enhanced C-P sensing performance was discussed in terms of the defect density, the number of contact junctions, and the length of ZnO nanorods. Accurate differentiation of five different gases (CH 4 , CO, and three gas mixtures) with an identification accuracy of 100% was achieved by the array assembled with the ZnO-1.0 and the ZnO-1.5 sensors. Our findings demonstrate the morphology-dependent C-P sensing behaviors of ZnO nanorods and provide a facile and cost-effective method for the detection and identification of CH 4 and CO.

Journal of The Electrochemical SocietyVol. 171(9)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 32%
Gas Sensing Nanomaterials and Sensors
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.