Semiconductor Gas-Sensing Materials for Dissolved Gas Analysis in Transformer Oil: Advances, Challenges, and Future Perspectives in Material Design and Optimization

This work reviews recent advances, key challenges, and future directions of semiconductor gas-sensing materials for dissolved gas analysis in transformer oil. It outlines the use of metal-oxide semiconductors, nanostructured materials such as two-dimensional materials and noble-metal-doped nanoparticles, and hybrid systems including MOF, MXene, and TMD for detecting critical fault gases such as hydrogen and acetylene, with emphasis on sensitivity, selectivity, and stability. It highlights progress achieved through surface modification, doping, defect engineering, micro-nano structural design, and plasma-based enhancement and considers the role of intelligent sensor systems and AI in material development and data interpretation. Despite improvements in low-concentration detection and response speed, issues remain in long-term stability, cross-sensitivity, and performance in complex oil environments. Future work should explore new material systems, establish unified testing standards, and integrate multidisciplinary approaches to enable efficient, intelligent transformer fault diagnosis. This review serves as a reference for designing semiconductor gas-sensing materials for power equipment monitoring.

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Publication Details

Journal
ACS Materials Letters
Published
2026-01-16
DOI
https://doi.org/10.1021/acsmaterialslett.5c01179
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
Field-Weighted Citation Impact
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article

Semiconductor Gas-Sensing Materials for Dissolved Gas Analysis in Transformer Oil: Advances, Challenges, and Future Perspectives in Material Design and Optimization

Sheikh Tamjidur Rahman, Geming Wang, Houming Shen, Pu Fan et al.
ACS Materials Letters
Power Transformer Diagnostics and Insulation
article

Semiconductor Gas-Sensing Materials for Dissolved Gas Analysis in Transformer Oil: Advances, Challenges, and Future Perspectives in Material Design and Optimization

Sheikh Tamjidur Rahman, Geming Wang, Houming Shen, Pu Fan, Qirui Wu, Chendong Shao, Chun Zhao, Weixin Zhang
article en

Abstract

This work reviews recent advances, key challenges, and future directions of semiconductor gas-sensing materials for dissolved gas analysis in transformer oil. It outlines the use of metal-oxide semiconductors, nanostructured materials such as two-dimensional materials and noble-metal-doped nanoparticles, and hybrid systems including MOF, MXene, and TMD for detecting critical fault gases such as hydrogen and acetylene, with emphasis on sensitivity, selectivity, and stability. It highlights progress achieved through surface modification, doping, defect engineering, micro-nano structural design, and plasma-based enhancement and considers the role of intelligent sensor systems and AI in material development and data interpretation. Despite improvements in low-concentration detection and response speed, issues remain in long-term stability, cross-sensitivity, and performance in complex oil environments. Future work should explore new material systems, establish unified testing standards, and integrate multidisciplinary approaches to enable efficient, intelligent transformer fault diagnosis. This review serves as a reference for designing semiconductor gas-sensing materials for power equipment monitoring.

ACS Materials LettersVol. 8(2)
Electric Power Research Institute (US), North China Electric Power University (CN), NARI Group (China) (CN), Energy Foundation (CN), Materials Processing (United States) (US), China Electric Power Research Institute, Huazhong University of Science and Technology (CN), Hubei University (CN), Wuhan Institute of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 86%
Power Transformer Diagnostics and Insulation
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