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工业园区有毒有害气体排放具有种类繁多、成分复杂、分布广泛等特点, 建立多组分、高精度气体监测技术体系是污染防控的基础. 黑体光谱辐射范围广, 可有效地降低吸收谱线相互干扰可能性, 是多组分气体同时检测的首选光源. 但其单波长能量低且稳定性欠佳导致难以实现高精度气体探测. 鉴于此, 本文提出光学增程和声学谐振双重增强模式联用, 设计了一种可用于多组分气体同时高精度检测光声光谱传感器. 应用两个相同T型增强光声池, 构建了双光路增强型差分光学/光声检测模式, 实验证明了差分光声模式具有更强的噪声抑制能力, 可于同波段强吸收背景下提取出微弱痕量目标气体吸收信息, 且双光路增强型信号较单光路模式提高了1.91倍. 进行多组分气体同时检测性能研究, 常温常压下CO2, C2H2和NH3检测精度的体积分数分别为7.25 × 10–7, 1.84 × 10–6和1.43 × 10–6, 比单光路光声模式提高了1个数量级. 对体积分数为0—3 × 10–3 的三种气体样品进行测试, 光声信号线性度高于0.995. 广谱双光路T型增强差分光声光谱技术补偿了黑体广谱检测方法灵敏度低的缺陷, 具有灵敏度高、选择性好、背景噪声抑制能力强的优势, 可为建立工业园区多组分毒害气体的高精度监测技术提供支持, 助力于我国“碳中和碳达峰”宏伟任务.The determination of toxic or harmful gases in industrial parks is a challenge to monitoring exhaust contaminants due to the features of complex compositions and ubiquity. Blackbody sources play an important role in simultaneously detecting the multiple gas species in the presence of cross-interfering absorption lines due to their effective ultra-wide wavelength range. Nevertheless, the problem of lower intensity per wavelength and less stability persists as an obstacle for highly sensitive trace gas detection. In this study, a dual optical path (DOP) enhanced differential photoacoustic and spectral detection mode is developed for simultaneously detecting the multiple toxic or harmful gas through augmenting the weak effective absorption signals and suppressing the spurious coherent background noise. Two identical T-type photoacoustic resonators are introduced to enable the differential mode. Neverthelss, the pure optical approach cannot distinguish the absorption characteristics of acetylene (C2H2) with volume fraction 5 × 10–5 even with the DOP enhancement, whereas emerging peaks in the differential photoacoustic (PA) mode reveal the capability of PA spectroscopy to suppress coherent noise. The results demonstrate that the differential PA signal is improved by 1.91 times that obtained by the DOP design. Methane (NH3), acetylene (C2H2) and carbon dioxide (CO2) are used to verify the performance of this DOP enhanced differential PA gas sensor, and the volume fraction of the sensitivity is found to be 7.25 × 10–7 for CO2, 1.84 × 10–6 for C2H2, and 1.43 × 10–6 for NH3 at standard temperature and pressure, which is an order of magnitude higher than the original single mode PA value. Linear PA amplitude responses ranging from 0 to 3 × 10–3 in volume fraction with respect to the three target gases are observed, and the correction coefficients are all greater than 0.995. The DOP enhanced differential PA detection mode compensates for the weakness of the limited sensitivity associated with broadband spectroscopic methods based on blackbody radiator. Thus, the broadband DOP enhanced differential photoacoustic modality is demonstrated to be an effective approach to simultaneous, highly sensitive and selective detection of multiple trace gases.
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Keywords:
- dual optical path enhanced differential mode /
- photoacoustic spectroscopy /
- toxic or harmful gas /
- multiple trace gas detection
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图 1 目标气体吸收谱线和碳棒光源能量分布
Fig. 1. Absorption spectra of target gases and wavenumber distribution of globar source.
图 3 DOP差分光声光谱痕量气体传感器
Fig. 3. DOP enhanced photoacoustic gas sensor based on differential detection mode.
图 4 T型增强光声池 (a) 光声池模型及气路连接; (b) 光声池幅值信号频率响应; (c) 气体光声信号气压响应
Fig. 4. T typed photoacouotic resonator: (a) T resonator model and gas diagram; (b) photoacoutic amplitude v.s.frequency; (c) photoacoustic signal of T cell v.s. pressure.
图 6 体积分数为5 × 10–5的 C2H2 DOP增强模式光谱和光声谱线
Fig. 6. DOP enhanced photoacoustic and optical spectra of C2H2 with volume fraction of 5 × 10–5.
图 7 C2H2气体DOP增强差分光声信号浓度响应分析
Fig. 7. DOP enhanced differential Photoacoustic signal v.s. C2H2 concentration.
图 8 三种目标气体光声幅值响应线性度
Fig. 8. Photoacoustic signal linear fits of three target gases at designated absorption lines.
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[1] Hyde B P, Carton O T, Toole P O 2003 Atmos. Environ. 37 55
Google Scholar
[2] Gong Z F, Gao T L, Mei L, Chen K, Zhang B, Peng W, Yu Q X 2021 Photoacoustics 21 100216
Google Scholar
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Google Scholar
[4] Wilson A D 2012 Procedia 1 453
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Google Scholar
[6] Berbegal C, Khomenko I, Russo P, Spano G, Fragasso M, Biasioli F, Capozzi V 2020 Fermentation 6 55
Google Scholar
[7] Korablev O, Vandaele A C, Montmessin F, et al. 2019 Nature 568 517
Google Scholar
[8] Tombez L, Zhang E J, Orcutt J S, Kamlapurkar S, Green W M J 2017 Optica 4 1322
Google Scholar
[9] 孙友文, 刘文清, 汪世美, 黄书华, 曾议, 谢品华, 陈军, 王亚萍, 司福祺 2012 61 140704
Google Scholar
Sun Y W, Liu W Q, Wang S M, Huang S H, Zeng Y, Xie P H, Chen J, Wang Y P, Si F Q 2012 Acta Phys. Sin. 61 140704
Google Scholar
[10] 苗银萍, 靳伟, 杨帆, 林粤川, 谭艳珍, 何海律 2017 66 074212
Google Scholar
Miao Y P, Le W, Yang F, Lin Y C, Tan Y Z, He H L 2017 Acta Phys. Sin. 66 074212
Google Scholar
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Google Scholar
Dong M L, Zhao W X, Cheng Y, Hu C J, Gu X J, Zhang W J 2012 Acta Phys. Sin. 61 060702
Google Scholar
[12] 尹旭坤, 董磊, 武红鹏, 刘丽娴, 邵晓鹏 2021 70 170701
Yin X K, Dong L, Wu H P, Liu L X, Shao X P 2021 Acta Phys. Sin. 70 170701
[13] 马欲飞 2021 70 160702
Google Scholar
Ma Y F 2021 Acta Phys. Sin. 70 160702
Google Scholar
[14] He Y, Ma Y F, Tong Y, Yu X, Tittel F K 2019 Opt. Lett. 44 1904
Google Scholar
[15] Li S Z, Wu H P, C R Y, Sampaolo A, Patimisco P, Spagnolo V, Tittel F K, Dong L 2019 Opt. Express 27 35267
Google Scholar
[16] Zhang B, Chen K, Chen Y W, et al. 2020 Opt. Express 28 6618
Google Scholar
[17] Liu K, Mei J X, Zhang W J, Chen W D, Gao X M 2017 Sens. Actuators, B 251 632
Google Scholar
[18] Yin X K, Wu H P, Dong L, et al. 2019 Sens. Actuators, B 282 567
Google Scholar
[19] Liu L X, Mandelis A, Huan H T, Michaelian K H 2017 Opt. Lett. 42 1424
Google Scholar
[20] Liu L X, Mandelis A, Huan H T, Melnikov A 2016 Appl. Phys. B 122 268
[21] Liu L X, Huan H T, Li W, Mandelis A, Wang Y F, Zhang L, Zhang X S, Yin X K, Wu Y X, Xiao X P 2021 Photoacoustics 21 100228
Google Scholar
[22] Liu L X, Huan H T, Mandelis A, Zhang L, Guo C F, Li W, Zhang X S, Yin X K, Shao X P, Wang D T, 2022 Opt. Laser Technol. 148 107695
Google Scholar
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