An Analytical Comparison of the Performance of Various Sensing Materials and Mechanisms for Efficient Detection Capability of Greenhouse Gas Emissions

Engineering ›› DOI: 10.1016/j.eng.2024.11.008

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Received	Accepted	Published
2023-11-28	2024-11-13
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2024-12-23

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Abstract

Increasing greenhouse gas (GHG) emissions, such as methane (CH₄), nitrous oxide (N₂O), and carbon dioxide (CO₂), from agricultural practices and land use have increased concerns about global warming. Accurate quantification of the GHG using gas sensors is essential for effective management and sustainable agricultural practices. The objective of this study was to make an analytical comparison of the performance of various sensing materials for CH₄, N₂O, and CO₂-based sensors in terms of sensitivity, response ratio, response time, and recovery time to establish an efficiency detection level of the GHG emissions. A literature review of 95 different studies showed that palladium-tin dioxide nanoparticles (Pd-SnO₂), indium oxide (In₂O₃) nanowires, and gold-lanthanum oxide-doped tin dioxide nanofibers (Au-La₂O₃/SnO₂) had better performance compared to other sensing materials in CH₄, N₂O and CO₂-based sensors, respectively. The findings from reviewed studies revealed that nanoporous structures, nanowires and nanofibers had faster response and recovery compared to conventional materials due to their big specific surface area (SSA). The designed ternary hybrid structure of sensing materials was more effective for CO₂ gas detection than the double hybrid structure, unlike CH₄ and N₂O-based sensors. However, constructive suggestions for researchers were discussed in the conclusion based on the current research status and challenges to improve the performance of GHG sensors.

Keywords

Analytical comparison / Greenhouse gases / Sensing materials / Sensing mechanisms / Sensor

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Mostafa Rastgou, Yong He, Qianjing Jiang. An Analytical Comparison of the Performance of Various Sensing Materials and Mechanisms for Efficient Detection Capability of Greenhouse Gas Emissions. Engineering DOI:10.1016/j.eng.2024.11.008

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CRediT authorship contribution statement

Mostafa Rastgou: Writing - original draft, Formal analysis, Data curation. Yong He: Writing - review & editing, Supervision. Qianjing Jiang: Writing - review & editing, Supervision, Funding acquisition, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work was supported by Key Pioneer Research Project of Zhejiang Province (2022C02014) and National Natural Science Foundation of China (32271980).

Compliance with ethics guidelines

Mostafa Rastgou, Yong He, and Qianjing Jiang declare that they have no conflict of interest or financial conflicts to disclose.

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