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A Spectral Analysis Method Based on Direct Absorption Intensity Reconstruction for Rapid Real-Time CO Detection.

Renyu Li1, Xiyue Wang1, Chongqiu Zhou1

  • 1College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321004, China.

Analytical Chemistry
|May 22, 2026
PubMed
Summary
This summary is machine-generated.

This study presents a novel spectral analysis method for rapid, real-time carbon monoxide (CO) detection in combustion. The technique enhances accuracy and speed, crucial for safety alerts and health monitoring.

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Combustion Science

Background:

  • Carbon monoxide (CO) concentrations fluctuate rapidly during combustion, necessitating real-time detection for safety and health.
  • Direct absorption spectroscopy (DAS) offers timeliness and stability for CO monitoring but suffers from slow fitting and optical noise sensitivity.
  • Current algorithms for DAS lack standardized usage protocols, hindering accurate concentration inversion.

Purpose of the Study:

  • To develop a spectral analysis method for rapid, real-time CO detection in combustion environments.
  • To improve the accuracy and efficiency of CO concentration inversion using DAS.
  • To establish usage standards for reference signals in spectral analysis.

Main Methods:

  • Introduced a spectral analysis method based on direct absorption intensity reconstruction using only the original measurement signal.
  • Established usage standards for reference signals by calculating root-mean-square error (RMSE) and correlation coefficient (ρ).
  • Did not require complex modulation techniques or large-scale numerical operations.

Main Results:

  • The method achieved rapid, real-time CO detection with response times within 4 seconds.
  • Signal-to-noise ratio (SNR) improvements exceeded 2-fold.
  • RMSE between reconstructed and measured results remained below 1 × 10-3 with ρ > 0.95, and R2 for concentration inversion reached 0.9998.

Conclusions:

  • The developed spectral analysis method provides accurate and fast real-time CO detection for combustion scenarios.
  • The method overcomes limitations of traditional DAS, offering improved accuracy and standardized signal usage.
  • This technique meets the stringent requirements for fast, real-time CO monitoring in combustion safety and health applications.