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Sensitive detection of H 2 S based on Ce doped ZnCo 2 O 4 hollow microspheres at low working temperature.

Authors :
Huang JY
Li HJ
Li LX
Chen R
Liu F
Wu L
Feng ZM
Yin YL
Cao Z
Yu D
Source :
Analytical methods : advancing methods and applications [Anal Methods] 2024 Jul 11; Vol. 16 (27), pp. 4644-4652. Date of Electronic Publication: 2024 Jul 11.
Publication Year :
2024

Abstract

In order to develop a highly efficient H <subscript>2</subscript> S gas sensor at low working temperature, in this work, a kind of novel Ce-doped ZnCo <subscript>2</subscript> O <subscript>4</subscript> hollow microspheres (Ce/ZnCo <subscript>2</subscript> O <subscript>4</subscript> HMSs) were successfully synthesized using a template-free one-pot method, showing a sensitive response toward H <subscript>2</subscript> S. The microstructure and morphology of the material were characterized by scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The gas-sensing performance of the composite was investigated, showing that the ZnCo <subscript>2</subscript> O <subscript>4</subscript> doped with 6 mol% Ce had the highest response to 20 ppm H <subscript>2</subscript> S at a low operating temperature of 160 °C with a response value of 67.42, which was about 2 times higher than that of original ZnCo <subscript>2</subscript> O <subscript>4</subscript> . The prepared Ce/ZnCo <subscript>2</subscript> O <subscript>4</subscript> HMS sensor in response to H <subscript>2</subscript> S exhibited a linear range of 0.1-200 ppm with a low detection limit of 0.1 ppm under the conditions of ambient humidity of 45% and ambient temperature of 20 °C. Meanwhile, it also possessed good selectivity, repeatability and reproducibility. The response value of the sensor decreased by 5.32% after 7 months of continuous monitoring of H <subscript>2</subscript> S in an atmospheric environment of a pig farm, indicating that the sensor had a long-term stability and continuous service life with important application prospects.

Details

Language :
English
ISSN :
1759-9679
Volume :
16
Issue :
27
Database :
MEDLINE
Journal :
Analytical methods : advancing methods and applications
Publication Type :
Academic Journal
Accession number :
38946403
Full Text :
https://doi.org/10.1039/d4ay00567h