Metal-Organic-Framework Derived Co-Mo Multimetal Oxide Semiconductors: Selective Trace-Level Hydrogen Sulfide
Shuang Cao1, Zhao Song1, Yu Bing1
1State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, P.R. China.
ACS Sensors
|May 31, 2024
Summary
Highly selective hydrogen sulfide (H2S) gas sensors were developed using MOF-templated Co-Mo oxides. These sensors achieve ultra-low detection limits and selective H2S monitoring for environmental safety.
Area of Science:
- Materials Science
- Nanotechnology
- Environmental Science
Background:
- Detecting trace levels of hydrogen sulfide (H2S) with high selectivity is crucial for environmental monitoring.
- Existing gas sensing technologies face challenges in sensitivity and selectivity for H2S detection.
Purpose of the Study:
- To develop a novel gas sensing platform for highly selective and trace-level detection of H2S.
- To engineer Co-Mo multimetal oxide semiconductors using metal-organic frameworks (MOFs) as templates.
Main Methods:
- Utilized MOFs as self-sacrificial templates to synthesize Co3O4/β-CoMoO4 multimetal oxides.
- Fabricated gas sensors based on the MOF-derived materials.
- Constructed a sensor array with varying Co/Mo ratios for gas discrimination.
- Employed principal component analysis (PCA) for selective gas identification.
Main Results:
- Achieved high sensitivity (Rg/Ra = 22) to 10 ppm H2S with an ultralow limit of detection (10 ppb).
- Demonstrated the critical roles of p-p heterojunction and Mo multivalence states in enhancing electron transfer and oxygen adsorption.
- Successfully discriminated H2S from other volatile organic compounds (VOCs) and malodorous gases using a sensor array and PCA.
- Developed a functional H2S gas sensing and alarming platform for environmental monitoring.
Conclusions:
- MOF-templated synthesis offers a viable strategy for creating efficient Co-Mo oxide gas sensors.
- The developed sensors exhibit excellent performance for trace-level H2S detection and selective monitoring.
- This approach provides a promising pathway for advancing environmental H2S monitoring technologies.
