Infrared Physics & Technology 136 (2024) 105037 Contents lists available at ScienceDirect Infrared Physics and Technology journal homepage: www.elsevier.com/locate/infrared Microfiber knot resonator augmented quartz-enhanced photoacoustic spectroscopy Jiabao Xie a, Haohua Lv a, Junming li a, Chenglong Wang a, Haoyang Lin a, Wenguo Zhu a, Jieyuan Tang a, Yongchun Zhong a, Xueqing He b, **, Jianhui Yu a, Huadan Zheng a, * a b Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University, Guangzhou 510632, China Department of Physics, Taiyuan Normal University, Jinzhong 030619, China A R T I C L E I N F O A B S T R A C T Keywords: Photoacoustic spectroscopy Quartz-enhanced photoacoustic spectroscopy Quartz tuning fork Gas sensor In this work, a microfiber knot resonator augmented quartz-enhanced photoacoustic spectroscopy (MKR-QEPAS) was developed for the analysis of trace gases. In the proof-of-concept experiment, a 1.39 μm laser diode was utilized for the detection of H2O molecules. Based on the H2O absorption line, the optical fiber-based MKR was meticulously designed to modulate the transmission spectrum, thereby inducing constructive interference with the excitation laser wavelength. The MKR was integrated with a clamp-type tuning fork, leading to a pronounced evanescent resonance enhancement. Consequently, the detection sensitivity of the MKR-QEPAS was improved by approximately one order of magnitude. The micro ring resonator is posited to hold significant promise for hybrid integration in QEPAS on-chip sensors. 1. Introduction Photoacoustic spectroscopy (PAS) gas sensing technology for trace gas detection has been developed and utilized over recent decades [1–9]. The principle of PAS dictates that gas molecules are excited from the ground state to excited states by the modulated laser. Once the molecules are de-excited, energy absorbed by the molecules is trans­ formed periodically into heat energy through the vibration-translation (V-T) relaxation, leading to pressure variations, recognized as acoustic waves [10–12]. Various photoacoustic transducers [13], such as MEMS microphones [14–16], cantilever beams [17], fiber-optic Fabry-Perot microphones [18], and quartz tuning forks [19–21], are developing iteratively and being researched extensively. Quartz-enhanced photo­ acoustic spectroscopy (QEPAS) was introduced as a variant of PAS and was first investigated in 2002 by Kosterev et al. [22]. Within the QEPAS system, a quartz tuning fork (QTF) is utilized as a piezoelectric trans­ ducer to transform acoustic waves into electrical signals [23–31]. In comparison to PAS based on microphones, QEPAS exhibits higher Q factors of 104-105 and more refined resonance frequency bandwidths of 2–4 Hz [32]. In subsequent years, a pivotal role in trace gas detection applications has been played by QEPAS, encompassing realms such as agricultural monitoring [33], gas leak detection [34], industrial process control [35], and human respiratory analysis [36–38]. A compact 6Urack QEPAS sensor was also crafted [39]. The amplitude of the photo­ acoustic signal can be represented by Eq. (1) [40]: S∝ α•P•Q f0 (1) where α and P are the absorption coefficient of the targeted gas mole­ cules and the light power, respectively. Q and f0 are the quality factor and the resonance frequency of the QTF, respectively. A proportionality between the QEPAS signal amplitude and the excitation optical power is observed. Since the advent of QEPAS in 2002, a commercial standard QTF featuring a resonance frequency of 32.768 kHz, typically employed in timekeeping devices, has been incorporated into a majority of QEPAS systems. A surge in custom QTFs with enhanced Q and diminished resonance frequency emerged over the decade, driven by the desire to leverage the acoustic pressure and curtail background noise induced by scattered light. Spagnolo et al. delved into a custom QTF with a reduced resonance frequency down to 4.25 kHz in 2013 [41]. In 2016, a 30.72 kHz QTF was introduced by Ma et al. to augment the signal amplitude [42]. T-shaped longitudinal cross-sections and grooved prong surfaces characterized the geometry-enhanced QTFs showcased [43,44]. By * Corresponding author. ** Corresponding author. E-mail addresses: hexq_1988@163.com (X. He), zhenghuadan@jnu.edu.cn (H. Zheng). https://doi.org/10.1016/j.infrared.2023.105037 Received 3 November 2023; Received in revised form 1 December 2023; Accepted 1 December 2023 Available online 2 December 2023 1350-4495/© 2023 Elsevier B.V. All rights reserved. J. Xie et al. Infrared Physics and Technology 136 (2024) 105037 2020, pilot-line manufactured 28 kHz QTFs were unveiled by Zheng et al. [1]. In recent developments, a clamp-type QTF with an aperture diameter approaching ~1 mm and Q factors surpassing 104 was inno­ vatively crafted, rooted in commercially available standard QTFs, marking a cost-efficient and uncomplicated avenue for procuring custom QTFs [45]. For the purposes of eliminating the precise focusing optics from the optical open path and achieving extended and distributed sensing, evanescent-wave microfiber QEPAS sensors were conceived [46]. The utilization of the evanescent wave, as opposed to the free space laser, is championed for photoacoustic excitation. Capitalizing on the merits of optical fibers, a 3 km fiber with myriad tapered detection units in an evanescent-wave microfiber QEPAS system was exhibited [47]. None­ theless, constraints in optical power within the evanescent field and limited engagement between the tapered fiber and the QTF culminated in the evanescent-wave microfiber QEPAS sensor exhibiting diminished signal amplitude. The potency of microfibers in forging optical reso­ nance, given their compact stature and minimal loss, is recognized. When a microfiber is configured into a closed circuit, a circular cavity based on the microfiber, denoted as a ring resonator, is engendered via evanescent coupling at the overlap [48–50]. In this letter, a QEPAS sensor rooted in a fiber resonator, specifically the microfiber knot resonator augmented quartz-enhanced photo­ acoustic spectroscopy (MKR-QEPAS), is showcased for trace gas anal­ ysis. This avant-garde QEPAS spectrophone introduces three distinct advantages: (1) a diminutive size relative to free-space optical cavity resonators; (2) an elongated excitation optical trajectory; (3) amplified excitation optical prowess. Such compactness permits the MKR to be situated within the aperture of the clamp-type QTF, sustained by the microfiber’s friction at the conjunction. The MKR exhibited better robustness than traditional fiber ring resonators, which reduced the susceptibility to airflow disturbance and enhanced the compatibility for the clamp-type QTFs. An extended excitation path fosters heightened and robust interactions between molecules and the QTF. An augmen­ tation in excitation power, achieved by aligning the constructive inter­ ference condition with the excitation wavelength, profoundly elevates the photoacoustic effect. In juxtaposition with conventional evanescentwave microfiber QEPAS, a tenfold enhancement in detection sensitivity is observed. factor of clamp-type QTF were measured to be 35765.6 Hz and 10360, respectively. The diameter d, necessary for fiber to generate an evanescent wave, can be at the sub-wavelength scale by controlling the location of the flame and fiber stretching speed, which results in microfibers. In this work, a microfiber with a diameter d of 1.29 μm was produced by a tapered fiber puller from a standard single-mode 9/125 µm fiber, as illustrated in Fig. 1(b). The microfiber was positioned through the circular aperture of the custom clamp-type QTF, forming the traditional microfiber QEPAS. According to the waveguide in fiber, a shallow evanescent wave region emerged in the second medium. As the microfiber’s diameter d was reduced below the sub-wavelength scale, both the transmission length and penetration depth of this evanescent wave increased. Consequently, as the microfiber diameter d decreases, the evanescent field’s power, crucial for efficient absorption and pho­ toacoustic excitation outside the microfiber, is nonlinearly enhanced. This enhancement significantly augmented the coupling efficiency of the microfiber knot resonator [46,50]. A micro-knot ring was then formed based on the same diameter d of 1.29 μm, as shown in Fig. 1(c). Ad­ justments to the diameter D of this micro-knot ring were made to cali­ brate the transmission spectrum of the MKR. Under the guidance of an optical microscope, the MKR was positioned into the aperture of the clamp-type QTF. The alignment ensured the MKR and the QTF aperture were coaxially integrated, resulting in an effective excitation path spanning from 0.3 mm to 1.865 mm. 3. Theory analysis of the microfiber knot resonator In Fig. 2(a), the field distribution of the employed MKR is illustrated. This distribution was analyzed using COMSOL Multiphysics® finite element analysis software. The MKR can be likened to a directional ring coupler. The governing principle of the MKR can be elucidated through optical waveguide theory. When light is introduced from the micro­ fiber’s entrance, it is observed that it bifurcates at the knot. A fraction of this light continues directly through the microfiber’s exit. Conversely, another portion is coupled into the preordained ring via evanescentwave propagation. After completing a circumferential journey within the ring, this light once again divides at the knot. Owing to this mech­ anism, constructive interference can be manifested within the ring resonator. Under such conditions, it is discerned that the optical power accumulated within the MKR exceeds that of the input. The resonance condition pertaining to the optical path length for the microfiber knot resonator is encapsulated by Eq. (2) [51]: 2. Structure of the microfiber knot resonator QEPAS The schematic diagram of the MKR-QEPAS spectrophone is pre­ sented in Fig. 1(a). A clamp-type QTF with an aperture of Ø = ~0.97 mm was fabricated using the methodology detailed in [16]. The aperture was positioned at a distance △X of ~0.7 mm from the QTF opening, which is the optimum for laser excitation. The resonance frequency f0 and Q 1 4 π • D • neff = (m + ) • λm (2) where neff is the effective refractive index of the microfiber, D is the diameter of the knot ring, and λm is the wavelength corresponding to the order m. When resonance conditions are met within the MKR, the transmission T is dictated by Eq. (3) [52]: ⃒ ⃒2 ⃒E2 ⃒ (α − |t|)2 T 2 = ⃒⃒ ⃒⃒ = (3) E1 (1 − α|t|)2 where E2 and E1 are the output and input intensity of the light, respec­ tively. α represents the portion of the intensity remaining after one round-trip. t represents the transmission coefficient past the coupling knot. The length of the cavity π⋅D resonating at the wavelength of 7181.156 cm− 1 was obtained by solving Eq. (2) and simulation. The length of the cavity determined the phase of the evanescent wave, leading to varied transmission spectrums and resonance effects under different phase conditions. With a ring diameter D being 0.593 mm, both a free spectral range (FSR) approximating ~0.74 nm and a quality factor (Q) nearing ~51,575 are ascertained. As depicted in Fig. 2(b), the resonance of the MKR is observed at a wavenumber of 7181.156 cm− 1, coinciding precisely with the desired H2O molecules’ absorption line. Fig. 1. Schematic diagram of MKR-QEPAS spectrophone; (b) a tapered mi­ crofiber with the diameter of 1.29 µm; (c) a microfiber knot with a ring diameter of 593.62 µm. 2 J. Xie et al. Infrared Physics and Technology 136 (2024) 105037 Fig. 2. (a) The field distribution of the microfiber knot resonator at the laser wavenumber of 7181.156 cm− 1. (b) Transmission spectrum of microfiber knot resonator under the laser wavenumber from 7174 to 7189 cm− 1. 4. Experimental setup optimized. Fig. 4 elucidates that the QEPAS 2f signal amplitude grows with modulation depth, but plateaus past 5.41 cm− 1. Consequently, 5.41 cm− 1 was identified as the optimal modulation depth. The experimental setup of the MKR-QEPAS gas sensing system is depicted in Fig. 3. As a proof-of-concept, the H2O molecules in the ambient air were selected as the target. A 10-mW distributed feedback semiconductor laser (EP1392-5-DM-B01-FA), whose wavelength centers at 1.39 μm, was employed as the excitation light source. The emission wavelength of the laser could be adjusted by changing the diode tem­ peratures and injection currents. A ramp wave with a period of 600 s and an amplitude of 120 mV was added to the laser driver to tune the laser wavelength from 7180.134 cm− 1 to 7182.176 cm− 1 across the absorp­ tion line of H2O. The laser beam was coupled into the MKR made by single-mode fiber. Wavelength modulation with the second harmonic (2f) technique was employed as the detection method [53]. A sinusoidal wave with a frequency of f = f0/2 generated by a function generator (Tektronix-AFG-3102) was sent to the laser driver to modulate the wavelength and provide a reference signal for the lock-in amplifier (OE2031 DSP). A time constant of 1 s and a slope filter of 12 dB/octave were set, corresponding to a detection bandwidth of 0.125 Hz. 5. Optimization of the modulation depth Utilizing wavelength modulation, the modulation depth has been found to significantly influence the 2f QEPAS signal amplitude, espe­ cially in the context of varying absorption line profiles. For performance optimization in MKR-QEPAS, modulation depth was experimentally Fig. 4. Optimization of the laser modulation depth. Fig. 3. Schematic diagram of the MKR-QEPAS experimental setup. 3 J. Xie et al. Infrared Physics and Technology 136 (2024) 105037 6. Result and comparison The 2f signals for conventional microfiber QEPAS and MKR-QEPAS are illustrated in Fig. 5. Here, the laser’s temperature was maintained at 32 ◦ C, and its wavenumber spanned from 7180.134 cm− 1 to 7182.176 cm− 1. With reference to the HITRAN database, the target of the H2O absorption line was at 7181.156 cm− 1, boasting an intensity of 1.492 × 10− 20 cm/molecule. The detailed comparison of these config­ urations is tabulated in Table 1. The MKR-QEPAS registered an ampli­ tude of 2.09 × 10− 4 V for the 2f signal, markedly surpassing the 7.39 × 10− 6 V observed in the microfiber QEPAS setup. Noise analysis yielded 1σ standard deviations of 1.77 µV and 0.56 µV for MKR-QEPAS and microfiber QEPAS respectively. Consequently, the signal-to-noise ratio (SNR) for MKR-QEPAS was markedly superior, at 118, compared to the microfiber QEPAS’s 13.2. Overall, the SNR was elevated by a factor of ten in the MKR-QEPAS relative to the conventional microfiber QEPAS. Considering the total output power of the laser, a normalized noise equivalent absorption (NNEA) coefficient of 2.97 × 10− 6 cm− 1٠ W/Hz1/ 2 was obtained for the MKR-QEPAS. 7. Conclusion Fig. 5. 2f signal comparison of microfiber QEPAS and MKR-QEPAS. An augmented QEPAS technique leveraging a fiber resonator, termed as MKR-QEPAS was showcased for trace gas detection. A cost-effective single-mode fiber-based MKR was cohesively integrated with a clamptype QTF. Comprehensive theoretical and experimental analyses were performed on the field distribution and transmission spectrum of the MKR, in alignment with the deployed laser wavelength. Coaxial coupling of the MKR with the clamp-type QTF’s aperture resulted in a pronounced evanescent field boost. This led to a detection sensitivity increment of approximately an order of magnitude relative to traditional microfiber-based QEPAS. A NNEA coefficient of 2.97 × 10− 6 cm− 1٠ W/ Hz1/2 was obtained for H2O detection. Alternatively, when the resonant wavelength aligned with the absorption lines of gas molecules, the system enabled simultaneous detection of either the different absorption lines within single-component gas molecules or multiple absorption lines in multi-component gas molecules. Given the inherent advantages of optical fibers, MKR-QEPAS harbors the immense potential for ultrasensitive, expansive, and distributed gas sensing networks. Moreover, the micro ring resonator based on a light guide on a silicon chip, used to integrate filtering, coupling, and modulating optoelectronic devices also paves the way for innovative hybrid integration within a quartz tuning fork to achieve highly sensitive trace gas detection. Table 1 Performance Comparison of microfiber QEPAS and MKR-QEPAS. Configurations Microfiber QEPAS MKR-QEPAS Signal (V) − 6 7.39 × 10 2.09 × 10− 4 1σ Noise (µV) SNR 0.56 1.77 13.20 118.08 Data availability Data will be made available on request. Acknowledgements This work is supported by the National Key Research and Develop­ ment Program of China (2021YFB2800801), National Natural Science Foundation of China (62375111, 62005105, 12174156, 12174155, 62105125, 62075088, 62175137), Natural Science Foundation of Guangdong Province (2020B1515020024, 2019A1515011380), the Science and Technology Projects of Guangzhou (202102020445), KeyArea Research and Development Program of Guangdong Province (2019B010138004), Special Project in Key Fields of the Higher Educa­ tion Institutions of Guangdong Province (2020ZDZX3022), Open foun­ dation of CEPREI (NO. 19D09), Foundation for Distinguished Young Talents in Higher Education of Guangdong (2018KQNCX009), the Fundamental Research Funds for the Central Universities (21619402, 11618413), State Key Laboratory of Applied Optics (SKLAO-201914), Special Funds for the Cultivation of Guangdong College Students’ Sci­ entific and Technological Innovation (No. pdjh2023a0052), the Applied Basic Research Program of Shanxi Province (202203021222250). CRediT authorship contribution statement Jiabao Xie: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft. Haohua Lv: Supervision. Junming li: Super­ vision. Chenglong Wang: Software. Haoyang Lin: Supervision. Wen­ guo Zhu: Funding acquisition, Project administration, Resources, Supervision. Jieyuan Tang: Funding acquisition, Project administra­ tion, Resources, Supervision. Yongchun Zhong: Project administration, Resources, Supervision, Validation. Xueqing He: Funding acquisition, Project administration, Resources, Supervision. Jianhui Yu: Funding acquisition, Project administration, Resources. Huadan Zheng: Conceptualization, Funding acquisition, Methodology, Project admin­ istration, Resources, Supervision, Validation, Writing – review & editing. References [1] H. Zheng, Y. Liu, H. Lin, B. Liu, X. Gu, D. Li, B. Huang, Y. Wu, L. Dong, W. Zhu, J. Tang, H. Guan, H. Lu, Y. Zhong, J. Fang, Y. Lou, J. Zhang, J. Yu, Z. Chen, F. K. Tittel, Ppb-level gas detection using on-beam quartz-enhanced photoacoustic spectroscopy based on a 28 kHz tuning fork, Photoacoustics 17 (2020), 100158. [2] I.V. Sherstov, D.B. Kolker, V.A. Vasiliev, A.V. Pavlyuk, M.B. Miroshnichenko, A. A. Boyko, N.Y. Kostyukova, I.B. Miroshnichenko, Laser photo-acoustic methane sensor (7.7 µm) for use at unmanned aerial vehicles, Infrared Phys. Technol. 133 (2023), 104865. [3] Q. Huang, Y. Wei, J. Li, Simultaneous detection of multiple gases using multiresonance photoacoustic spectroscopy, Sens. Actuat. B Chem. 369 (2022), 132234. [4] M. Guo, K. Chen, C. Li, L. Xu, G. Zhang, N. Wang, C. Li, F. Ma, Z. Gong, Q. Yu, Highsensitivity silicon cantilever-enhanced photoacoustic spectroscopy analyzer with low gas consumption, Anal. Chem. 94 (2022) 1151–1157. Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. 4 J. Xie et al. Infrared Physics and Technology 136 (2024) 105037 [5] L. Fu, P. Lu, C. Sima, J. Zhao, Y. Pan, T. Li, X. Zhang, D. Liu, Small-volume highlysensitive all-optical gas sensor using non-resonant photoacoustic spectroscopy with dual silicon cantilever optical microphones, Photoacoustics 27 (2022), 100382. [6] Z. Gong, G. Wu, K. Chen, M. Guo, J. Ma, H. Li, F. Ma, L. Mei, W. Peng, Q. Yu, Fibertip gas transducer based on all-optical photoacoustic spectroscopy, J. Lightwave Technol. 40 (2022) 5300–5306. [7] C. Li, X. Han, F. Ma, X. Zhao, Z. Wang, H. Qi, M. Guo, K. Chen, Multiplexed fiberoptic photoacoustic sensors for simultaneous detection of multi-point gases, Sens. Actuat. B Chem. 399 (2024), 134801. [8] X. Zhao, M. Guo, D. Cui, C. Li, H. Qi, K. Chen, F. Ma, J. Huang, G. Zhang, J. Zhao, Multi-pass differential photoacoustic sensor for real-time measurement of SF6 decomposition component H2S at the ppb level, Anal. Chem. 95 (2023) 8214–8222. [9] X. Zhao, K. Chen, D. Cui, M. Guo, C. Li, H. Qi, G. Zhang, Z. Gong, Z. Zhou, W. Peng, Ultra-high sensitive photoacoustic gas detector based on differential multi-pass cell, Sens. Actuat. B Chem. 368 (2022), 132124. [10] H. Lin, H. Zheng, B.A.Z. Montano, H. Wu, M. Giglio, A. Sampaolo, P. Patimisco, W. Zhu, Y. Zhong, L. Dong, R. Kan, J. Yu, V. Spagnolo, Ppb-level gas detection using on-beam quartz-enhanced photoacoustic spectroscopy based on a 28 kHz tuning fork, Photoacoustics 25 (2022), 100321. [11] H. Lv, H. Zheng, Y. Liu, Z. Yang, Q. Wu, H. Lin, B.A.Z. Montano, W. Zhu, J. Yu, R. Kan, Z. Chen, F.K. Tittel, Radial-cavity quartz-enhanced photoacoustic spectroscopy, Opt. Lett. 46 (2021) 3917–3920. [12] M. Müller, T. Rück, S. Jobst, J. Pangerl, S. Weigl, R. Bierl, F.M. Matysik, An algorithmic approach to compute the effect of non-radiative relaxation processes in photoacoustic spectroscopy, Photoacoustics 26 (2022), 100371. [13] F. Wang, Y. Cheng, Q. Xue, Q. Wang, R. Liang, J. Wu, J. Sun, C. Zhu, Q. Li, Techniques to enhance the photoacoustic signal for trace gas sensing: a review, Sens. Actuat. A Phys. 345 (2022), 113807. [14] F. Wang, J. Wu, Y. Cheng, L. Fu, J. Zhang, Q. Wang, Simultaneous detection of greenhouse gases CH4 and CO2 based on a dual differential photoacoustic spectroscopy system, Opt. Exp. 31 (2023) 33898–33913. [15] H. Zhang, S. Bi, Q. Zhang, C. Tian, Z. Wang, The fiber ring laser intra-cavity gas sensor for C2H2 and CO2 detection based on photoacoustic spectroscopy, Infrared Phys. Technol. 131 (2023), 104623. [16] B. Zhang, J. Jiang, X. Zhang, X. Zhu, Y. Shi, Flexible hollow core fiber photoacoustic gas sensor based on embedded acoustic resonant structure, Anal. Chem. 95 (2023) 12761–12767. [17] G. Wu, X. Wu, Z. Gong, J. Xing, Y. Fan, J. Ma, W. Peng, Q. Yu, L. Mei, Highly sensitive trace gas detection based on a miniaturized 3D-printed Y-type resonant photoacoustic cell, Opt. Exp. 31 (2023) 34213–34223. [18] E. Pan, H. Liu, C. Wang, J. Ma, B. Guan, Compact optical fiber photoacoustic gas sensor with integrated multi-pass cell, Photoacoustics 32 (2023), 100524. [19] J. Zhao, Y. Pan, P. Lu, X. Zhang, T. Li, J. Zhang, C. Sima, D. Liu, Ppb-level alloptical off-axis QEPAS gas sensor based on dual-wavelength demodulation of outof-plane vibration mode, Sens. Actuat. B Chem. 385 (2023), 133689. [20] H. Lin, Y. Liu, L. Lin, W. Zhu, X. Zhou, Y. Zhong, M. Giglio, A. Sampaolo, P. Patimisco, F.K. Tittel, J. Yu, V. Spagnolo, H. Zheng, Application of standard and custom quartz tuning forks for quartz-enhanced photoacoustic spectroscopy gas sensing, Appl. Spectrosc. Rev. 58 (2023) 562–584. [21] R. Zhuang, L. Lin, C. Wang, H. Lin, H. Luo, H. Lv, W. Zhu, Y. Zhong, B. Liu, R. Kan, J. Yu, H. Zheng, Quartz-enhanced photoacoustic spectroscopy-conductance spectroscopy for gas mixture analysis, Anal. Chem. 95 (2023) 9575–9580. [22] A.A. Kosterev, Y.A. Bakhirkin, R.F. Curl, F.K. Tittel, Quartz-enhanced photoacoustic spectroscopy, Opt. Lett. 27 (2002) 1902–1904. [23] H. Wu, L. Dong, H. Zheng, Y. Yu, W. Ma, L. Zhang, W. Yin, L. Xiao, S. Jia, F. K. Tittel, Beat frequency quartz-enhanced photoacoustic spectroscopy for fast and calibration-free continuous trace-gas monitoring, Nat. Commun. 8 (2017) 15331. [24] W. Ye, W. Liu, W. Luo, J. Xiao, L. He, Y. Huang, D. Zhu, Calibration-free nearinfrared methane sensor system based on BF-QEPAS, Infrared Phys. Technol. 131 (2023), 104784. [25] X. Ren, M. Yan, Z. Wen, H. Ma, R. Li, K. Huang, H. Zeng, Dual-comb quartzenhanced photoacoustic spectroscopy, Photoacoustics 28 (2022), 100403. [26] H. Yi, O. Laurent, S. Schilt, M. Ramonet, X. Gao, L. Dong, W. Chen, Simultaneous monitoring of atmospheric CH4, N2O, and H2O using a single gas sensor based on mid-IR quartz-enhanced photoacoustic spectroscopy, Anal. Chem. 94 (2022) 17522–17532. [27] W. Ye, Z. Xia, L. Hu, W. Luo, W. Liu, X. Xu, C. Zheng, Infrared dual-gas CH4/C2H2 sensor system based on dual-channel off-beam quartz-enhanced photoacoustic spectroscopy and time-division multiplexing technique, Spectrochim. Acta A. 285 (2023), 121908. [28] J. Zhao, S. Bi, Q. Zhang, Y. Yao, Z. Wang, A compact integrated dual-spectroscopy gas detection structure based on QEPAS and QEPTS using a QTF, Infrared Phys. Technol. 131 (2023), 104698. [29] Y. Ma, T. Liang, S. Qiao, X. Liu, Z. Lang, Highly sensitive and fast hydrogen detection based on light-induced thermoelastic spectroscopy, Ultrafast Sci. 3 (2023) 0024. [30] W. Chen, S. Qiao, Y. He, J. Jiang, Y. Shi, Y. Ma, Sensitive carbon monoxide detection based on light induced thermoelastic spectroscopy with a hollow waveguide and 2.3 μm diode laser, Infrared Phys. Technol. 135 (2023), 104938. [31] Q. Nie, Z. Wang, S. Borri, P.D. Natale, W. Ren, Mid-infrared swept cavity-enhanced photoacoustic spectroscopy using a quartz tuning fork, Appl. Phys. Lett. 123 (2023), 054102. [32] H. Luo, C. Wang, H. Lin, Q. Wu, Z. Yang, W. Zhu, Y. Zhong, R. Kan, J. Yu, H. Zheng, Helmholtz-resonator quartz-enhanced photoacoustic spectroscopy, Opt. Lett. 48 (2023) 1678–1681. [33] Y. Liu, H. Lin, B.A.Z. Montano, W. Zhu, Y. Zhong, R. Kan, B. Yuan, J. Yu, M. Shao, H. Zheng, Integrated near-infrared QEPAS sensor based on a 28 kHz quartz tuning fork for online monitoring of CO2 in the greenhouse, Photoacoustics 25 (2022), 100332. [34] M. Olivieri, G. Menduni, M. Giglio, A. Sampaolo, P. Patimisco, H. Wu, L. Dong, V. Spagnolo, Characterization of H2S QEPAS detection in methane-based gas leaks dispersed into environment, Photoacoustics 29 (2023), 100438. [35] A. Sampaolo, G. Menduni, P. Patimisco, M. Giglio, V.M.N. Passaro, L. Dong, H. Wu, F.K. Tittel, V. Spagnolo, Quartz-enhanced photoacoustic spectroscopy for hydrocarbon trace gas detection and petroleum exploration, Fuel 277 (2020), 118118. [36] H. Luo, Z. Yang, R. Zhuang, H. Lv, C. Wang, H. Lin, D. Zhang, W. Zhu, Y. Zhong, Y. Cao, K. Liu, R. Kan, Y. Pan, J. Yu, H. Zheng, Ppbv-level mid-infrared photoacoustic sensor for mouth alcohol test after consuming lychee fruits, Photoacoustics 33 (2023), 100559. [37] D.C. Dumitras, M. Petrus, A.M. Bratu, C. Popa, Applications of near infrared photoacoustic spectroscopy for analysis of human respiration: a review, Molecules 25 (2020) 1728. [38] C. Lou, Y. Wang, L. Huang, C. Wang, Y. Li, P. Liu, X. Liu, B. Dong, Quartz tuning fork (QTF) coating enhanced Mid-Infrared laser Induced-Thermoacoustic spectroscopy (LITES) for human exhaled methane detection, Infrared Phys. Technol. 133 (2023), 104824. [39] G. Menduni, A. Zifarelli, E. Kniazeva, S.D. Russo, A.C. Ranieri, E. Ranieri, P. Patimisco, A. Sampaolo, M. Giglio, F. Manassero, E. Dinuccio, G. Provolo, H. Wu, L. Dong, Measurement of methane, nitrous oxide and ammonia in atmosphere with a compact quartz-enhanced photoacoustic sensor, Sens. Actuat. B Chem. 375 (2023), 132953. [40] A.A. Kosterev, Y.A. Bakhirkin, F.K. Tittel, Ultrasensitive gas detection by quartzenhanced photoacoustic spectroscopy in the fundamental molecular absorption bands region, Appl. Phys. B 80 (2005) 133–138. [41] S. Borri, P. Patimisco, A. Sampaolo, H.E. Beere, D.A. Ritchie, M.S. Vitiello, G. Scamarcio, V. Spagnolo, Terahertz quartz enhanced photo-acoustic sensor, Appl. Phys. Lett. 103 (2013), 021115. [42] Y. Ma, Y. He, X. Yu, J. Zhang, R. Sun, F.K. Tittel, Compact all-fiber quartz-enhanced photoacoustic spectroscopy sensor with a 30.72 kHz quartz tuning fork and spatially resolved trace gas detection, Appl. Phys. Lett. 108 (2016), 091115. [43] P. Patimisco, A. Sampaolo, M. Giglio, S.D. Russo, V. Mackowiak, H. Rossmadl, A. Cable, F.K. Tittel, V. Spagnolo, Tuning forks with optimized geometries for quartz-enhanced photoacoustic spectroscopy, Opt. Exp. 27 (2019) 1401–1415. [44] J. Hayden, M. Giglio, A. Sampaolo, V. Spagnolo, B. Lendl, Mid-infrared intracavity quartz-enhanced photoacoustic spectroscopy with pptv-level sensitivity using a Tshaped custom tuning fork, Photoacoustics 25 (2022), 100330. [45] Q. Wu, H. Lv, L. Lin, H. Wu, M. Giglio, W. Zhu, Y. Zhong, A. Sampaolo, P. Patimisco, L. Dong, V. Spagnolo, J. Yu, H. Zheng, Clamp-type quartz tuning fork enhanced photoacoustic spectroscopy, Opt. Lett. 47 (2022) 4556–4559. [46] Y. Cao, W. Jin, L.H. Ho, Z. Liu, Evanescent-wave photoacoustic spectroscopy with optical micro/nano fibers, Opt. Lett. 37 (2012) 214–216. [47] Y. He, Y. Ma, Y. Tong, X. Yu, Z. Peng, J. Gao, F.K. Tittel, Long distance, distributed gas sensing based on micro-nano fiber evanescent wave quartz-enhanced photoacoustic spectroscopy, Appl. Phys. Lett. 111 (2017), 241102. [48] J. Lou, Y. Wang, L. Tong, Microfiber Opt. Sens.: Rev. Sens. 14 (2014) 5823–5844. [49] M. Sumetsky, Y. Dulashko, J.M. Fini, A. Hale, Optical microfiber loop resonator, Appl. Phys. Lett. 86 (2005), 161108. [50] X. Jiang, L. Tong, G. Vienne, X. Guo, A. Tsao, Q. Yang, D. Yang, Demonstration of optical microfiber knot resonators, Appl. Phys. Lett. 88 (2006), 223501. [51] Z. Chen, V.K.S. Hsiao, X. Li, Z. Li, J. Yu, J. Zhang, Optically tunable microfiber-knot resonator, Opt. Express 19 (2011) 14217–14222. [52] G.T. Paloczi, Y. Huang, A. Yariv, Free-standing all-polymer microring resonator optical filter, Electron. Lett. 39 (2003) 1650–1651. [53] Z. Wu, Y. Jiao, F. Liu, Z. Ai, Q. Zhang, Reducing temperature sensitivity of gas measurement using chirped-modulated photoacoustic spectroscopy, Rev. Sci. Instrum. 93 (2022), 094902. 5