Sensitive carbon monoxide detection based on light-induced thermoelastic spectroscopy with a fiber-coupled multipass cell [Invited]

Xiaonan Liu; Yufei Ma

doi:10.3788/COL202220.031201

Journals >Chinese Optics Letters >Volume 20 >Issue 3 >Page 031201 > Article

Chinese Optics Letters
Vol. 20, Issue 3, 031201 (2022)

Sensitive carbon monoxide detection based on light-induced thermoelastic spectroscopy with a fiber-coupled multipass cell [Invited]

Xiaonan Liu and Yufei Ma^*

Author Affiliations

National Key Laboratory of Science and Technology on Tunable Laser, Harbin Institute of Technology, Harbin 150001, China

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DOI: 10.3788/COL202220.031201 Cite this Article

Xiaonan Liu, Yufei Ma. Sensitive carbon monoxide detection based on light-induced thermoelastic spectroscopy with a fiber-coupled multipass cell [Invited][J]. Chinese Optics Letters, 2022, 20(3): 031201 Copy Citation Text

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Abstract

A sensor based on light-induced thermoelastic spectroscopy (LITES) with a fiber-coupled multipass cell was demonstrated for carbon monoxide (CO) detection. The fiber-coupled structure has the merits of reducing optical interference and difficulty in optical alignment and increasing system robustness. A 1.57 µm continuous wave distributed feedback diode laser was used as the excitation source. A minimum detection limit of 9 ppm was obtained, and the calculated normalized noise equivalent absorption coefficient was

1.15 \times 10^{- 7} {cm}^{- 1} \cdot W \cdot {Hz}^{- 1 / 2}

. The reported CO-LITES sensor showed excellent linear concentration response and system stability.

Keywords

CO concentration light-induced thermoelastic spectroscopy quartz tuning fork

1. Introduction

Carbon monoxide (CO) is a colorless, odorless, and toxic gas that is harmful to humans. CO binds to hemoglobin in the blood, which in turn causes symptoms of oxygen deprivation in human tissues^[1]. The main source of CO is the incomplete combustion of carbonaceous fuels. In addition to natural phenomena such as forest fires and volcanic eruptions, a large amount of CO is also generated by industrial processes and motor vehicle exhaust in urban areas. In recent years, the use of fossil fuels has gradually increased, making the CO pollution to atmosphere serious^[2,3]. In addition, the detection of CO concentration exhaled from the human body can be used for clinical diagnosis^[4,5]. Therefore, it is necessary to develop CO sensors with high sensitivity and real-time monitoring characteristics.