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Updated: May 31, 2026

Measurement and Analysis of Atomic Hydrogen and Diatomic Molecular AlO, C2, CN, and TiO Spectra Following Laser-induced Optical Breakdown
Published on: February 14, 2014
[Signal analysis and spectrum distortion correction for tunable diode laser absorption spectroscopy system]
Wei-Yi Bao1, Yong Zhu, Jun Chen
1The Key Laboratory for Optoelectronic Technology & System, Ministry of Education, Opto-Electronic Engineering College of Chongqing University, Chongqing 400044, China. osijr0572cn@yahoo.com.cn
This study introduces a method to correct spectrum distortion in tunable diode laser absorption spectroscopy (TDLAS) by suppressing laser intensity modulation. The technique significantly improves accuracy for trace gas analysis in industrial settings.
Area of Science:
- Optical Spectroscopy
- Laser Physics
- Analytical Chemistry
Context:
- Tunable diode laser absorption spectroscopy (TDLAS) is a powerful technique for trace gas sensing.
- Laser intensity modulation can induce spectrum distortion, affecting measurement accuracy.
- Existing TDLAS systems face challenges with wide modulation amplitudes and dynamic range requirements.
Purpose:
- To investigate spectrum distortion in TDLAS caused by laser intensity modulation using Fourier analysis.
- To propose and validate a synchronous amplitude modulation suppression method using a variable optical attenuator.
- To reduce the dynamic range requirements of TDLAS system components.
Summary:
- A Fourier analysis method was used to study spectrum distortion in TDLAS systems with wide modulation amplitudes.
- A novel method employing a variable optical attenuator was developed to suppress laser intensity modulation.
- Experimental validation using CO2 gas demonstrated a 92% improvement in spectrum distortion and reduced residual modulation to -0.1%.
Impact:
- The proposed method effectively corrects spectrum distortion, enhancing the accuracy of TDLAS trace gas analysis.
- Reduced dynamic range requirements lower the cost and complexity of TDLAS systems.
- This technique is suitable for online trace gas monitoring in various industrial process applications.
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