Wang RQ, Qiao SD, He Y et al. Highly sensitive laser spectroscopy sensing based on a novel four-prong quartz tuning fork. Opto-Electron Adv 8, 240275 (2025). doi: 10.29026/oea.2025.240275
Citation: Wang RQ, Qiao SD, He Y et al. Highly sensitive laser spectroscopy sensing based on a novel four-prong quartz tuning fork. Opto-Electron Adv 8, 240275 (2025). doi: 10.29026/oea.2025.240275

Article Open Access

Highly sensitive laser spectroscopy sensing based on a novel four-prong quartz tuning fork

More Information
  • In this paper, a novel four-prong quartz tuning fork (QTF) was designed with enlarged deformation area, large prong gap, and low resonant frequency to improve its performance in laser spectroscopy sensing. A theoretical simulation model was established to optimize the design of the QTF structure. In the simulation of quartz-enhanced photoacoustic spectroscopy (QEPAS) technology, the maximum stress and the surface charge density of the four-prong QTF demonstrated increases of 11.1-fold and 15.9-fold, respectively, compared to that of the standard two-prong QTF. In the simulation of light-induced thermoelastic spectroscopy (LITES) technology, the surface temperature difference of the four-prong QTF was found to be 11.4 times greater than that of the standard QTF. Experimental results indicated that the C2H2-QEPAS system based on this innovative design improved the signal-to-noise-ratio (SNR) by 4.67 times compared with the standard QTF-based system, and the SNR could increase up to 147.72 times when the four-prong QTF was equipped with its optimal acoustic micro-resonator (AmR). When the average time of the system reached 370 s, the system achieved a MDL as low as 21 ppb. The four-prong QTF-based C2H2-LITES system exhibited a SNR improvement by a factor of 4.52, and a MDL of 96 ppb was obtained when the average time of the system reached 100 s. The theoretical and experimental results effectively demonstrated the superiority of the four-prong QTF in the field of laser spectroscopy sensing.
  • 加载中
  • [1] Jing JY, Liu K, Jiang JF et al. Highly sensitive and stable probe refractometer based on configurable plasmonic resonance with nano-modified fiber core. Opto-Electron Adv 6, 220072 (2023). doi: 10.29026/oea.2023.220072

    CrossRef Google Scholar

    [2] Xia JB, Zhu F, Bounds J et al. Spectroscopic trace gas detection in air-based gas mixtures: some methods and applications for breath analysis and environmental monitoring. J Appl Phys 131, 220901 (2022). doi: 10.1063/5.0091263

    CrossRef Google Scholar

    [3] Wang YQ, Zhang JH, Zheng YC et al. Brillouin scattering spectrum for liquid detection and applications in oceanography. Opto-Electron Adv 6, 220016 (2023). doi: 10.29026/oea.2023.220016

    CrossRef Google Scholar

    [4] Zhang CX, Liu C, Chan KL et al. First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite. Light Sci Appl 9, 66 (2020). doi: 10.1038/s41377-020-0306-z

    CrossRef Google Scholar

    [5] Sun HY, Qiao SD, He Y et al. Highly sensitive CH4, C2H2 and CO simultaneous measurement LITES sensor based on multi-pass cell with overlapped spots pattern and QTFs with low resonant frequency. Opt Express 32, 28183–28194 (2024). doi: 10.1364/OE.531925

    CrossRef Google Scholar

    [6] Dong SL, He D, Zhang Q et al. Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning. eLight 3, 17 (2023). doi: 10.1186/s43593-023-00051-5

    CrossRef Google Scholar

    [7] Tai HL, Wang S, Duan ZH et al. Evolution of breath analysis based on humidity and gas sensors: potential and challenges. Sens Actuators B Chem 318, 128104 (2020). doi: 10.1016/j.snb.2020.128104

    CrossRef Google Scholar

    [8] Mccurdy MR, Bakhirkin Y, Wysocki G et al. Recent advances of laser-spectroscopy-based techniques for applications in breath analysis. J Breath Res 1, 014001 (2007). doi: 10.1088/1752-7155/1/1/014001

    CrossRef Google Scholar

    [9] Sun HY, He Y, Qiao SD et al. Highly sensitive and real-simultaneous CH4/C2H2 dual-gas LITES sensor based on Lissajous pattern multi-pass cell. Opto-Electron Sci 3, 240013 (2024). doi: 10.29026/oes.2024.240013

    CrossRef Google Scholar

    [10] Liu HH, Hu DJJ, Sun QZ et al. Specialty optical fibers for advanced sensing applications. Opto-Electron Sci 2, 220025 (2023). doi: 10.29026/oes.2023.220025

    CrossRef Google Scholar

    [11] Yang QF, Hu YW, Torres-Company V et al. Efficient microresonator frequency combs. eLight 4, 18 (2024). doi: 10.1186/s43593-024-00075-5

    CrossRef Google Scholar

    [12] Grigoriev GY, Lagutin AS, Nabiev SS et al. Atmosphere composition control during long-duration space missions. Acta Astronaut 163, 112–119 (2019). doi: 10.1016/j.actaastro.2019.03.043

    CrossRef Google Scholar

    [13] Terracciano AC, Thurmond K, Villar M et al. Hazardous gas detection sensor using broadband light-emitting diode-based absorption spectroscopy for space applications. New Space 6, 28–36 (2018). doi: 10.1089/space.2017.0044

    CrossRef Google Scholar

    [14] Liu XN, Ma YF. New temperature measurement method based on light-induced thermoelastic spectroscopy. Opt Lett 48, 5687–5690 (2023). doi: 10.1364/OL.503287

    CrossRef Google Scholar

    [15] Casey JG, Collier-Oxandale A, Hannigan M. Performance of artificial neural networks and linear models to quantify 4 trace gas species in an oil and gas production region with low-cost sensors. Sens Actuators B Chem 283, 504–514 (2019). doi: 10.1016/j.snb.2018.12.049

    CrossRef Google Scholar

    [16] Sampaolo A, Menduni G, Patimisco P et al. Quartz-enhanced photoacoustic spectroscopy for hydrocarbon trace gas detection and petroleum exploration. Fuel 277, 118118 (2020). doi: 10.1016/j.fuel.2020.118118

    CrossRef Google Scholar

    [17] Ma YF, Liu YH, He Y et al. Design of multipass cell with dense spot patterns and its performance in a light-induced thermoelastic spectroscopy-based methane sensor. Light Adv Manuf 6, 1 (2025), doi: 10.37188/lam.2025.001

    CrossRef Google Scholar

    [18] Fu BT, Gao RH, Yao N et al. Soliton microcomb generation by cavity polygon modes. Opto-Electron Adv 7, 240061 (2024). doi: 10.29026/oea.2024.240061

    CrossRef Google Scholar

    [19] Fan JJ, Ou ZY, Zhang ZD. Entangled photons enabled ultrafast stimulated Raman spectroscopy for molecular dynamics. Light Sci Appl 13, 163 (2024). doi: 10.1038/s41377-024-01492-4

    CrossRef Google Scholar

    [20] Li A, Wu YF, Wang C et al. An inversely designed integrated spectrometer with reconfigurable performance and ultra-low power consumption. Opto-Electron Adv 7, 240099 (2024). doi: 10.29026/oea.2024.240099

    CrossRef Google Scholar

    [21] Xiong SD, Yin XY, Wang Q et al. Photoacoustic spectroscopy gas detection technology research progress. Appl Spectrosc 78, 139–158 (2024). doi: 10.1177/00037028231208712

    CrossRef Google Scholar

    [22] Ma YF, Liang TT, Qiao SD et al. Highly sensitive and fast hydrogen detection based on light-induced thermoelastic spectroscopy. Ultrafast Sci 3, 0024 (2023). doi: 10.34133/ultrafastscience.0024

    CrossRef Google Scholar

    [23] Shao MR, Ji C, Tan JB et al. Ferroelectrically modulate the Fermi level of graphene oxide to enhance SERS response. Opto-Electron Adv 6, 230094 (2023). doi: 10.29026/oea.2023.230094

    CrossRef Google Scholar

    [24] Minamikawa T, Sakaguchi R, Harada Y et al. Long-range enhancement for fluorescence and Raman spectroscopy using Ag nanoislands protected with column-structured silica overlayer. Light Sci Appl 13, 299 (2024). doi: 10.1038/s41377-024-01655-3

    CrossRef Google Scholar

    [25] Li Z, Chen JX, Li LZ et al. Exceptional-point-enhanced sensing in an all-fiber bending sensor. Opto-Electron Adv 6, 230019 (2023). doi: 10.29026/oea.2023.230019

    CrossRef Google Scholar

    [26] Zhang C, He Y, Qiao SD et al. High-sensitivity trace gas detection based on differential Helmholtz photoacoustic cell with dense spot pattern. Photoacoustics 38, 100634 (2024). doi: 10.1016/j.pacs.2024.100634

    CrossRef Google Scholar

    [27] Xu SY, Wang QY, Zhu ZH et al. Photoacoustic spectroscopy based on vertical cruciform multi-stepped photoacoustic cell achieving ppb-level acetylene detection. Sens Actuators B Chem 418, 136313 (2024). doi: 10.1016/j.snb.2024.136313

    CrossRef Google Scholar

    [28] Ma YF, Qiao SD, He Y et al. Highly sensitive acetylene detection based on multi-pass retro-reflection-cavity-enhanced photoacoustic spectroscopy and a fiber amplified diode laser. Opt Express 27, 14163–14172 (2019). doi: 10.1364/OE.27.014163

    CrossRef Google Scholar

    [29] Cantatore AFP, Menduni G, Zifarelli A et al. Lithium niobate – enhanced photoacoustic spectroscopy. Photoacoustics 35, 100577 (2024). doi: 10.1016/j.pacs.2023.100577

    CrossRef Google Scholar

    [30] Zhang C, Qiao SD, He Y et al. Trace gas sensor based on a multi-pass-retro-reflection-enhanced differential Helmholtz photoacoustic cell and a power amplified diode laser. Opt Express 32, 848–856 (2024). doi: 10.1364/OE.512104

    CrossRef Google Scholar

    [31] Fu LJ, Lu P, Pan YF et al. All-optical non-resonant photoacoustic spectroscopy for multicomponent gas detection based on aseismic photoacoustic cell. Photoacoustics 34, 100571 (2023). doi: 10.1016/j.pacs.2023.100571

    CrossRef Google Scholar

    [32] Qiao SD, He Y, Sun HY et al. Ultra-highly sensitive dual gases detection based on photoacoustic spectroscopy by exploiting a long-wave, high-power, wide-tunable, single-longitudinal-mode solid-state laser. Light Sci Appl 13, 100 (2024). doi: 10.1038/s41377-024-01459-5

    CrossRef Google Scholar

    [33] Kosterev AA, Bakhirkin YA, Curl RF et al. Quartz-enhanced photoacoustic spectroscopy. Opt Lett 27, 1902–1904 (2002). doi: 10.1364/OL.27.001902

    CrossRef Google Scholar

    [34] Lang ZT, Qiao SD, Liang TT et al. Dual-frequency modulated heterodyne quartz-enhanced photoacoustic spectroscopy. Opt Express 32, 379–386 (2024). doi: 10.1364/OE.506861

    CrossRef Google Scholar

    [35] Sampaolo A, Yu CR, Wei TT et al. H2S quartz-enhanced photoacoustic spectroscopy sensor employing a liquid-nitrogen-cooled THz quantum cascade laser operating in pulsed mode. Photoacoustics 21, 100219 (2021). doi: 10.1016/j.pacs.2020.100219

    CrossRef Google Scholar

    [36] Xie JB, Lv HH, Li JM et al. Microfiber knot resonator augmented quartz-enhanced photoacoustic spectroscopy. Infrared Phys Technol 136, 105037 (2024). doi: 10.1016/j.infrared.2023.105037

    CrossRef Google Scholar

    [37] Cui RY, Wu HP, Dong L et al. Multiple-sound-source-excitation quartz-enhanced photoacoustic spectroscopy based on a single-line spot pattern multi-pass cell. Appl Phys Lett 118, 161101 (2021). doi: 10.1063/5.0047963

    CrossRef Google Scholar

    [38] Chen YJ, Liang TT, Qiao SD et al. A miniaturized 3D-printed quartz-enhanced photoacoustic spectroscopy sensor for methane detection with a high-power diode laser. Sensors 23, 4034 (2023). doi: 10.3390/s23084034

    CrossRef Google Scholar

    [39] Lin HY, Wang CL, Lin LQ et al. Non-contact quartz-enhanced photoacoustic spectroscopy. Appl Phys Lett 122, 111101 (2023). doi: 10.1063/5.0134744

    CrossRef Google Scholar

    [40] Ma YF, He Y, Tong Y et al. Quartz-tuning-fork enhanced photothermal spectroscopy for ultra-high sensitive trace gas detection. Opt Express 26, 32103–32110 (2018). doi: 10.1364/OE.26.032103

    CrossRef Google Scholar

    [41] Pan YF, Zhao JB, Lu P et al. All-optical light-induced thermoacoustic spectroscopy for remote and non-contact gas sensing. Photoacoustics 27, 100389 (2022). doi: 10.1016/j.pacs.2022.100389

    CrossRef Google Scholar

    [42] Liu YH, Qiao SD, Fang C et al. A highly sensitive LITES sensor based on a multi-pass cell with dense spot pattern and a novel quartz tuning fork with low frequency. Opto-Electron Adv 7, 230230 (2024). doi: 10.29026/oea.2024.230230

    CrossRef Google Scholar

    [43] Lou CG, Dai JL, Wang YX et al. Highly sensitive light-induced thermoelastic spectroscopy oxygen sensor with co-coupling photoelectric and thermoelastic effect of quartz tuning fork. Photoacoustics 31, 100515 (2023). doi: 10.1016/j.pacs.2023.100515

    CrossRef Google Scholar

    [44] He Y, Wang YZ, Qiao SD et al. Hydrogen-enhanced light-induced thermoelastic spectroscopy sensing. Photonics Res 13, 194–200 (2025). doi: 10.1364/PRJ.541564

    CrossRef Google Scholar

    [45] Hu LE, Zheng CT, Zhang MH et al. Long-distance in-situ methane detection using near-infrared light-induced thermo-elastic spectroscopy. Photoacoustics 21, 100230 (2021). doi: 10.1016/j.pacs.2020.100230

    CrossRef Google Scholar

    [46] Lang ZT, Qiao SD, Ma YF. Fabry–Perot-based phase demodulation of heterodyne light-induced thermoelastic spectroscopy. Light Adv Manuf 4, 23 (2023). doi: 10.37188/lam.2023.023

    CrossRef Google Scholar

    [47] Zhang C, Qiao SD, He Y et al. Differential quartz-enhanced photoacoustic spectroscopy. Appl Phys Lett 122, 241103 (2023). doi: 10.1063/5.0157161

    CrossRef Google Scholar

    [48] Wysocki G, Kosterev AA, Tittel FK. Influence of molecular relaxation dynamics on quartz-enhanced photoacoustic detection of CO2 at λ=2 μm. Appl Phys B 85, 301–306 (2006). doi: 10.1007/s00340-006-2369-9

    CrossRef Google Scholar

    [49] Dello Russo S, Sampaolo A, Patimisco P et al. Quartz-enhanced photoacoustic spectroscopy exploiting low-frequency tuning forks as a tool to measure the vibrational relaxation rate in gas species. Photoacoustics 21, 100227 (2021). doi: 10.1016/j.pacs.2020.100227

    CrossRef Google Scholar

    [50] Ma YF, He Y, Patimisco P et al. Ultra-high sensitive trace gas detection based on light-induced thermoelastic spectroscopy and a custom quartz tuning fork. Appl Phys Lett 116, 011103 (2020). doi: 10.1063/1.5129014

    CrossRef Google Scholar

    [51] Spagnolo V, Patimisco P, Borri S et al. Mid-infrared fiber-coupled QCL-QEPAS sensor. Appl Phys B 112, 25–33 (2013). doi: 10.1007/s00340-013-5388-3

    CrossRef Google Scholar

    [52] Lang ZT, Qiao SD, He Y et al. Disturbance-immune, fast response LITES gas sensor based on out-plane vibration mode employing micro Fabry-Perot cavity with heterodyne phase demodulation. Sens Actuators B Chem 419, 136412 (2024). doi: 10.1016/j.snb.2024.136412

    CrossRef Google Scholar

    [53] Patimisco P, Sampaolo A, Giglio M et al. Tuning forks with optimized geometries for quartz-enhanced photoacoustic spectroscopy. Opt Express 27, 1401–1415 (2019). doi: 10.1364/OE.27.001401

    CrossRef Google Scholar

    [54] Ma YF, Qiao SD, Wang RQ et al. A novel tapered quartz tuning fork-based laser spectroscopy sensing. Appl Phys Rev 11, 041412 (2024). doi: 10.1063/5.0214874

    CrossRef Google Scholar

    [55] Patimisco P, Sampaolo A, Dong L et al. Analysis of the electro-elastic properties of custom quartz tuning forks for optoacoustic gas sensing. Sens Actuators B Chem 227, 539–546 (2016). doi: 10.1016/j.snb.2015.12.096

    CrossRef Google Scholar

    [56] Fang C, Liang TT, Qiao SD et al. Quartz-enhanced photoacoustic spectroscopy sensing using trapezoidal- and round-head quartz tuning forks. Opt Lett 49, 770–773 (2024). doi: 10.1364/OL.513628

    CrossRef Google Scholar

    [57] Russo SD, Zifarelli A, Patimisco P et al. Light-induced thermo-elastic effect in quartz tuning forks exploited as a photodetector in gas absorption spectroscopy. Opt Express 28, 19074–19084 (2020). doi: 10.1364/OE.393292

    CrossRef Google Scholar

    [58] Patimisco P, Borri S, Sampaolo A et al. A quartz enhanced photo-acoustic gas sensor based on a custom tuning fork and a terahertz quantum cascade laser. Analyst 139, 2079–2087 (2014). doi: 10.1039/C3AN01219K

    CrossRef Google Scholar

    [59] Dong L, Kosterev AA, Thomazy D et al. QEPAS spectrophones: design, optimization, and performance. Appl Phys B 100, 627–635 (2010). doi: 10.1007/s00340-010-4072-0

    CrossRef Google Scholar

  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(15)

Article Metrics

Article views() PDF downloads() Cited by()

Access History

Other Articles By Authors

Article Contents

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint