Parallel sensing of multiple greenhouse gases adopting a mid-infrared dual-comb spectrometer with 300,000 comb-tooth-resolved frequency components

Mid-infrared (MIR) spectroscopy is instrumental in addressing gas molecule-related environmental and ecological challenges. Especially, massively parallel sensing capability is critical to multi-species molecules analysis, enabling the demands for various MIR gas characterizations. However, real-time, high-accuracy parallel sensing for multiple gases remains a significant challenge due to the limitations in laser bandwidth and sampling speed. Here, we present a broadband MIR dual-comb spectrometer for the simultaneous detection of multiple greenhouse gases. This MIR spectrometer employs a scheme of difference frequency generation (DFG), directly producing a wide spectrum spanning 3.2–4.7 μm with over 300,000 comb-tooth-resolved frequency lines at a 100 MHz resolution. In addition, we demonstrated the parallel detection of four mixed gas molecules ( CH 4 , C 2 H 2 , CO, and N 2 O), in which the absorptions were in excellent agreement with HITRAN database. This broadband MIR dual-comb spectrometer is promising to be integrated with only fiber devices and periodically poled lithium niobate waveguides, providing a high-precision, high-efficiency approach for massively parallel sensing in atmospheric or industrial monitoring.

Authors

Institutions

Publication Details

Journal
Photonics Research
Published
2025-04-28
DOI
https://doi.org/10.1364/prj.560061
Citations
4
Primary Topic
Spectroscopy and Laser Applications
Type
article
Field-Weighted Citation Impact
3.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parallel sensing of multiple greenhouse gases adopting a mid-infrared dual-comb spectrometer with 300,000 comb-tooth-resolved frequency components

Gehui Xie, Zejiang Deng, Wenxue Li, Zefeng Wang et al.
4 citations
Photonics Research
Spectroscopy and Laser Applications
3.03
article

Parallel sensing of multiple greenhouse gases adopting a mid-infrared dual-comb spectrometer with 300,000 comb-tooth-resolved frequency components

Gehui Xie, Zejiang Deng, Wenxue Li, Zefeng Wang, Yu Wang, Chenglin Gu, Tengfei Wu, Zhiwei Zhu, Daping Luo, Lian Zhou
article en
4 citations

Abstract

Mid-infrared (MIR) spectroscopy is instrumental in addressing gas molecule-related environmental and ecological challenges. Especially, massively parallel sensing capability is critical to multi-species molecules analysis, enabling the demands for various MIR gas characterizations. However, real-time, high-accuracy parallel sensing for multiple gases remains a significant challenge due to the limitations in laser bandwidth and sampling speed. Here, we present a broadband MIR dual-comb spectrometer for the simultaneous detection of multiple greenhouse gases. This MIR spectrometer employs a scheme of difference frequency generation (DFG), directly producing a wide spectrum spanning 3.2–4.7 μm with over 300,000 comb-tooth-resolved frequency lines at a 100 MHz resolution. In addition, we demonstrated the parallel detection of four mixed gas molecules ( CH 4 , C 2 H 2 , CO, and N 2 O), in which the absorptions were in excellent agreement with HITRAN database. This broadband MIR dual-comb spectrometer is promising to be integrated with only fiber devices and periodically poled lithium niobate waveguides, providing a high-precision, high-efficiency approach for massively parallel sensing in atmospheric or industrial monitoring.

Photonics ResearchVol. 13(7)
Beijing Zhenxing Metrology & Measurement Institute (CN)
Openalex Percentile: Top 9%
Spectroscopy and Laser Applications
3.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.