Raman Signal Enhancement via High-Power Laser Excitation in a Near-Concentric Cavity for Gas Detection

Raman spectroscopy has emerged as a powerful tool for gas detection due to its label-free operation, molecular specificity, and multi-component analysis capabilities. However, its widespread application is hindered by limited sensitivity, particularly for trace gas analysis. To overcome this challenge, this study introduced an effective Raman spectroscopy detection system that synergistically combines a 532 nm high-power laser with a near-concentric multipass cell (MPC), enabling dual enhancement of both Raman excitation and signal collection. We simultaneously determined three critical performance metrics, including gas Raman signal intensity, signal-to-noise ratio (SNR), and limit of detection (LOD). Under the optimized experimental conditions, the CO2 Raman signal reached an SNR of approximately 58 for laboratory air containing 916 ppm CO2, corresponding to a concentration-equivalent detection limit of 48 ppm according to the 3σ criterion. Notably, the intensity of the generated Raman scattering signal is proportional to the average power. The intensity of Raman signals at different wave numbers increases at different rates with the increase in the average excitation power. The system achieves a remarkable LOD of 48 ppm for CO2, representing an advancement over conventional Raman gas sensors. This work validates high-power near-concentric cavity-enhanced Raman spectroscopy as a reliable method for trace gas detection, with potential implications for multi-component gas analyzers in environmental monitoring, industrial safety, and medical diagnostics.

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Publication Details

Journal
Photonics
Published
2026-08-03
DOI
https://doi.org/10.3390/photonics13080738
Primary Topic
Spectroscopy and Laser Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Raman Signal Enhancement via High-Power Laser Excitation in a Near-Concentric Cavity for Gas Detection

Yifan Ren, Zihan Wang, Dewang Yang, Yuee Chen et al.
Photonics
Spectroscopy and Laser Applications
article

Raman Signal Enhancement via High-Power Laser Excitation in a Near-Concentric Cavity for Gas Detection

Yifan Ren, Zihan Wang, Dewang Yang, Yuee Chen, Shibo Wang
article en

Abstract

Raman spectroscopy has emerged as a powerful tool for gas detection due to its label-free operation, molecular specificity, and multi-component analysis capabilities. However, its widespread application is hindered by limited sensitivity, particularly for trace gas analysis. To overcome this challenge, this study introduced an effective Raman spectroscopy detection system that synergistically combines a 532 nm high-power laser with a near-concentric multipass cell (MPC), enabling dual enhancement of both Raman excitation and signal collection. We simultaneously determined three critical performance metrics, including gas Raman signal intensity, signal-to-noise ratio (SNR), and limit of detection (LOD). Under the optimized experimental conditions, the CO2 Raman signal reached an SNR of approximately 58 for laboratory air containing 916 ppm CO2, corresponding to a concentration-equivalent detection limit of 48 ppm according to the 3σ criterion. Notably, the intensity of the generated Raman scattering signal is proportional to the average power. The intensity of Raman signals at different wave numbers increases at different rates with the increase in the average excitation power. The system achieves a remarkable LOD of 48 ppm for CO2, representing an advancement over conventional Raman gas sensors. This work validates high-power near-concentric cavity-enhanced Raman spectroscopy as a reliable method for trace gas detection, with potential implications for multi-component gas analyzers in environmental monitoring, industrial safety, and medical diagnostics.

PhotonicsVol. 13(8)
Yanshan University (CN), Shandong University of Science and Technology (CN)
National Natural Science Foundation of China, Hebei Provincial Department of Bureau of Science and Technology, Science and Technology Department of Hubei Province
Openalex Percentile: Top 18%
Spectroscopy and Laser Applications
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