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GO-Modified Mg-MOF-74 Composite for Selective Detection of SF6 By-Products in Environmental Monitoring Systems

Author

Listed:
  • Tianxiang Lei

    (State Grid Economic and Technological Research Institute Co., Ltd., China)

  • Ying Xu

    (State Grid Economic and Technological Research Institute Co., Ltd., China)

  • Zhiyuan Hao

    (State Grid Economic and Technological Research Institute Co., Ltd., China)

  • Tierui Zou

    (State Grid Economic and Technological Research Institute Co., Ltd., China)

  • Zijian Gao

    (State Grid Economic and Technological Research Institute Co., Ltd., China)

  • Ling Wang

    (State Grid Economic and Technological Research Institute Co., Ltd., China)

  • Yuqi Zhao

    (State Grid Economic and Technological Research Institute Co., Ltd., China)

Abstract

Under the background of global climate change and the increasing demand for agricultural eco-environmental monitoring, aiming at the problem that it is difficult to monitor Sulfur hexafluoride (SF6) and its decomposition products in environmental information systems with low concentration, real-time, and high selectivity, this paper constructs a Mg-MOF-74 composite gas sensing material modified by Graphene Oxide (GO) and systematically evaluates its application potential in agricultural and environmental gas monitoring scenarios. The research results show that the Mg-MOF-74@GO composite has good deployable and multi-gas identification potential in the front-end sensing layer of the environmental and agricultural information system, which can provide a material basis and theoretical support for greenhouse gas emission monitoring, agricultural environmental risk early warning, and data acquisition of the environmental information system.

Suggested Citation

  • Tianxiang Lei & Ying Xu & Zhiyuan Hao & Tierui Zou & Zijian Gao & Ling Wang & Yuqi Zhao, 2026. "GO-Modified Mg-MOF-74 Composite for Selective Detection of SF6 By-Products in Environmental Monitoring Systems," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global Scientific Publishing, vol. 17(1), pages 1-17, January.
    • Handle: RePEc:igg:jaeis0:v:17:y:2026:i:1:p:1-17
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