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Fe2O3-Functionalized CuBi2O4 Surface Heterojunction with Interfacial Modulation for Synergistically Enhanced H2S
Hongyu Xu1, Qinghua Jin1, Wen Zeng2
1College of Engineering and Technology, Southwest University, Chongqing400715, China.
Langmuir : the ACS Journal of Surfaces and Colloids
|July 20, 2026
Summary
A new ternary oxide sensor detects harmful hydrogen sulfide (H2S) in livestock environments. Machine learning integration with the sensor enhances H2S detection accuracy and practicality for farmers.
Area of Science:
- Materials Science
- Environmental Science
- Sensor Technology
Background:
- Hydrogen sulfide (H2S) is a toxic gas produced during manure fermentation, posing risks to livestock and aquaculture.
- Effective detection of H2S is crucial for maintaining animal health and economic stability in agricultural settings.
Purpose of the Study:
- To develop a highly sensitive ternary oxide sensor for detecting hydrogen sulfide in livestock farming environments.
- To improve the performance and practicality of gas sensors for agricultural applications.
Main Methods:
- Synthesized copper bismuthate (CuBi2O4) microspheres and loaded them with iron oxide nanoparticles.
- Characterized the composite material and evaluated its gas sensing properties.
- Integrated an optimized Gray Wolf Optimizer (GWO) with machine learning models (RF, SVM, LSTM) for H2S concentration prediction.
Main Results:
- The composite sensor showed significantly reduced response (42 s) and recovery (37 s) times at an optimal temperature of 215 °C.
- Formation of a heterojunction between iron oxide and copper bismuthate improved resistance to humidity and suppressed baseline drift.
- Machine learning integration achieved high-precision prediction of hydrogen sulfide concentration.
Conclusions:
- The developed ternary oxide sensor demonstrates enhanced performance for H2S detection.
- The combination of advanced materials and machine learning offers a promising strategy for practical agricultural gas sensing.
