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基于双差分光声光谱系统同时检测温室气体CH和CO。

Simultaneous detection of greenhouse gases CH and CO based on a dual differential photoacoustic spectroscopy system.

作者信息

Wang Fupeng, Wu Jinghua, Cheng Yaopeng, Fu Liyan, Zhang Jianguo, Wang Qiang

出版信息

Opt Express. 2023 Oct 9;31(21):33898-33913. doi: 10.1364/OE.503454.

DOI:10.1364/OE.503454
PMID:37859159
Abstract

In addition to the atmospheric measurement, detection of dissolved carbon oxides and hydrocarbons in a water region is also an important aspect of greenhouse gas monitoring, such as CH and CO. The first step of measuring dissolved gases is the separation process of water and gases. However, slow degassing efficiency is a big challenge which requires the gas detection technology itself with low gas consumption. Photoacoustic spectroscopy (PAS) is a good choice with advantages of high sensitivity, low gas consumption, and zero background, which has been rapidly developed in recent years and is expected to be applied in the field of dissolved gas detection. In this study, a miniaturized differential photoacoustic cell with a volume of 7.9 mL is designed for CH and CO detection, and a dual differential method with four microphones is proposed to enhance the photoacoustic signal. What we believe to be a new method increases photoacoustic signal by 4 times and improves the signal to noise ratio (SNR) over 10 times compared with the conventional single-microphone mode. Two distributed feedback (DFB) lasers at 1651 nm and 2004nm are employed to construct the PAS system for CH and CO detection respectively. Wavelength modulation spectroscopy (WMS) and 2 harmonic demodulation techniques are applied to further improve the SNR. As a result, sensitivity of 0.44 ppm and 7.39 ppm for CH and CO are achieved respectively with an integration time of 10 s. Allan deviation analysis indicates that the sensitivity can be further improved to 42 ppb (NNEA=4.7×10cmWHz) for CH and 0.86 ppm (NNEA=5.3×10cmWHz) for CO when the integration time is extended to 1000 s.

摘要

除了大气测量外,检测水域中溶解的碳氧化物和碳氢化合物也是温室气体监测的一个重要方面,例如CH和CO。测量溶解气体的第一步是水和气体的分离过程。然而,脱气效率低是一个巨大的挑战,这要求气体检测技术本身具有低气体消耗。光声光谱法(PAS)是一个不错的选择,它具有高灵敏度、低气体消耗和零背景的优点,近年来发展迅速,有望应用于溶解气体检测领域。在本研究中,设计了一种体积为7.9 mL的小型化差分光声池用于CH和CO检测,并提出了一种采用四个麦克风的双差分方法来增强光声信号。我们认为这是一种新方法,与传统的单麦克风模式相比,光声信号增加了4倍,信噪比(SNR)提高了10倍以上。分别采用两个波长为1651 nm和2004nm的分布反馈(DFB)激光器构建用于CH和CO检测的PAS系统。应用波长调制光谱法(WMS)和二次谐波解调技术进一步提高信噪比。结果,在积分时间为10 s时,CH和CO的灵敏度分别达到0.44 ppm和7.39 ppm。艾伦偏差分析表明,当积分时间延长到1000 s时,CH和CO的灵敏度可进一步提高到42 ppb(噪声等效吸收系数NNEA = 4.7×10cmWHz)和0.86 ppm(噪声等效吸收系数NNEA = 5.3×10cmWHz)。

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