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February 5, 2026Analytical Chemistry13 citations

Simultaneous Dissolved Gas Analysis in Transformer Oil via Time-Division-Multiplexed Quartz-Enhanced Photoacoustic Spectroscopy

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JDJialiang DaiYZYixin ZhangJWJiapeng Wang

Key Points

  • The study aims to develop a sensitive sensing system for dissolved gas analysis in transformer oil.
  • Utilized time-division-multiplexed quartz-enhanced photoacoustic spectroscopy (QEPAS)
  • Simultaneously detected acetylene and methane in small sample volumes
  • Enhanced signal amplitude through an on-beam configuration
  • Achieved real-time gas monitoring and analysis
  • Detected C2H2 at 15 ppb and CH4 at 0.3 ppm, significantly below safety thresholds
  • Signal amplitude increased nearly 20-fold with the proposed configuration
  • Demonstrated compatibility with industry standards for dissolved gas analysis

Abstract

Dissolved gas analysis (DGA) is an essential method for monitoring and diagnosing faults in oil-immersed transformers. Acetylene (C2H2) and methane (CH4) are key indicator gases for fault identification. We report for the first time a time-division-multiplexed quartz-enhanced photoacoustic spectroscopy (QEPAS) sensing system capable of simultaneously and sensitively detecting dissolved C2H2 and CH4, even with an extremely small amount of required sample gas. The on-beam configuration enhanced the 2f signal amplitude by nearly 20-fold. The sensing system achieved minimum detection limits (MDLs) of approximately 15 ppb for C2H2 and 0.3 ppm for CH4, which are 2-3 orders of magnitude lower than the safety thresholds defined in the relevant industry standards. The detectability of the sensing system satisfies the requirements for DGA in transformer oil. With a gas cell volume of approximately 1.6 mL, the system markedly reduces the required oil sample volume. By integrating headspace degassing with QEPAS, the sensing system enables real-time monitoring and analysis of the oil-gas equilibrium behavior of dissolved C2H2 and CH4. With its high sensitivity, rapid response, and low sample consumption, the proposed sensing system provides a viable and efficient approach for early detection of transformer faults. Furthermore, it establishes a foundation for applying QEPAS to dissolved gas analysis in transformer oil.

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Cite This Study

Dai et al. (2026) studied this question.

synapsesocial.com/papers/6984349af1d9ada3c1fb2de9https://doi.org/10.1021/acs.analchem.5c07335
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