Abstract
Development of novel mid-infrared (MIR) lasers could ultimately boost emerging detection technologies towards innovative spectroscopic and imaging solutions. Photoacoustic (PA) modality has been heralded for years as one of the most powerful detection tools enabling high signal-to-noise ratio analysis. Here, we demonstrate a novel, compact and sensitive MIR-PA system for carbon dioxide (CO2) monitoring at its strongest absorption band by combining a gas-filled fiber laser and PA technology. Specifically, the PA signals were excited by a custom-made hydrogen (H2) based MIR Raman fiber laser source with a pulse energy of ⁓ 18 μJ, quantum efficiency of ⁓ 80% and peak power of ⁓ 3.9 kW. A CO2 detection limit of 605 ppbv was attained from the Allan deviation. This work constitutes an alternative method for advanced high-sensitivity gas detection.
Subject terms: Fibre lasers, Mid-infrared photonics, Optical sensors
Introduction
Direct access to the MIR spanning from 3 to 20 µm, is of tremendous scientific and industrial interest as it covers the main absorption lines of molecules of great importance, such as alkanes or greenhouse gasses1,2. Thereby it can be used to unambiguously detect the molecular composition of a broad variety of gases, liquids, and even solids in a non-intrusive way3. An important greenhouse gas with a crucial role in environmental monitoring4, agricultural production5, food quality testing6 and combustion diagnostic7, is CO2. Although there are several well-established approaches on CO2 detection, optical spectroscopy remains still perhaps the most effective one owing to its unique advantages of high sensitivity, fast response time, long lifetime, and long-term stability8,9. There are several optical methods on gas detection10–16, and some of them have already been well-developed to implement CO2 monitoring outdoor and in harsh conditions10–14. The dominant absorption band of CO2, located at ~ 4.3 μm wavelength, is 10 times higher than its second strongest absorption peak at 15 μm and two orders of magnitude higher than its third strongest absorption peak at 2.7 μm, indicating that MIR band enables the ability to achieve high sensitivity and concentration range compared to its counterpart in the near-IR.
On the other hand, PA technology constitutes the cornerstone for more than 20 years towards high-resolution gas spectroscopy and imaging17–20. Its underlying mechanism relies on the photo-excited acoustic signals that linearly vary as a function of the absorbed laser power. This emerging tool has been presently established within industrial gas analysis sector because compared with other optical detection schemes, it possesses unique advantages such as high-sensitivity, wide-dynamic range, short optical path length (compact size), and near-to-zero background signal21–27. The acoustic signals can be excited either from a modulated (square or a sine wave obtained by modulating CW laser with a Hz or kHz repetition rate) or pulsed (nanosecond pulse duration) laser pump. The PA amplitude from the acoustic resonator is proportional to the average power of the CW laser in the former, while to the pulse energy in the latter case22. Therefore, high average power (CW) or pulse energy is an essential factor for generation of enhanced acoustic signals, to enable high signal-to-noise ratio and wide concentration range of the target gas. Quantum and interband cascade laser (QCL and ICL) technology, is well-known for gas detection because they offer narrow linewidth, good stability, as well as wide wavelength tunability by adding an extra grating to form an external cavity structure28. However, QCLs as well as ICLs have low peak power and pulse energy, thus limiting their use in pulse-based PA gas spectroscopy29–31. The ability to combine active Raman gases—as the nonlinear medium—with the recently developed low-loss anti-resonant hollow-core fibers (ARHCF) platform allowed the scientific community to move gas-based nonlinear optics to remarkable and previously inaccessible parameter regimes of high intensity with MHz level bandwidths32, and therefore create a desirable solution for the generation of high peak power and thus high-energy laser pulse in the UV and MIR, as demonstrated by several impressive results recently33–39. Despite these advantages, as an emerging research field, truly viable applications have not yet been explored, to the best of our knowledge.
Here, we report for the first time the development of a novel “hybrid” technology by integrating a H2-based fiber Raman laser as the excitation source with a compact PA system for CO2 monitoring at 4.22 μm, in the MIR. The source is based on vibrational stimulated Raman scattering (SRS) in a hydrogen (H2)-filled ARHCF pumped by a compact custom-made 1532.8 nm fiber laser with 6.9 ns long pulses and ~ 11 kW peak power. The output laser has an energy of 17.6 μJ and peak power of ~ 3.9 kW, enabling a CO2 detection as low as ~ 600 ppbv (see state-of-the-art in Supplementary Table S1). Moreover, the MIR PA scheme presented in this paper, offers a flexible selection of laser parameters with respect to the targeted trace gas detection application and promises a new tool for PA imaging and spectroscopy.
Results
Theory
The concept of the proposed gas-based excitation PA system is shown in Fig. 1a. The MIR pulses are generated through the vibrational SRS by using H2 as nonlinear propagation medium, which is pressurized in the hollow region of ARHCF and can directly red-shift the near-infrared pump line to mid-infrared region due to its large Raman shift coefficient of 4155 cm−1. Meanwhile, the use of ARHCF is able to confine most energies of the pump beam as well as the generated Stokes laser beam within the fiber core region with a diameter of 71 μm here, therefore ensuring intense H2-light interaction. Consequently, the output MIR laser overlapping with the strongest CO2 absorption line of ~ 4.3 μm, can be directly and efficiently converted from pump pulses at ~ 1533 nm wavelength, which is still within the gain band of the Er3+-doped fiber laser technology. The MIR output pulses then propagate through the CO2-filled PA cell, leading to a localized transient heating and expansion of the gas molecules, followed by a pressure (PA) wave which travels radially outwards from the interaction region40,41. The intensity of the PA wave depends on the absorption coefficient and thus, according to the Beer–Lambert law, on the concentration of CO221. In practice, the excited PA wave usually has a relatively weak intensity and thus a geometrically-optimized PA cell is necessary to enhance the generated PA intensity through constructive acoustic resonances. Given a pulsed excitation source, the PA amplitude can be expressed as22
1 |
where P is the PA amplitude, C is a factor that depends on the position of the laser beam and the transducer relative to the selected eigenmode distribution, γ is the adiabatic coefficient of the gas, V is the volume of the PA cell, α is the optical absorption coefficient of the gas at the excitation wavelength, and E is the laser pulse energy. According to Eq. (1), the pulse energy plays a key role in the PA’s intensity and thus the sensitivity of the system. In our design, we optimized the pulse energy of the excitation laser by selecting an appropriately long pump pulse duration that allows the efficient suppression of the transient Raman regime (see analysis in Supplementary Note 1 and 2).
Experiment setup
The experimental setup, shown in Fig. 1b, consists of the H2-filled fiber Raman laser source and the PA detection forming the final system. The excitation source is based on an H2-filled ARHCF, sealed by two custom-made high-pressure gas cells with a size of 5 cm × 4 cm × 5 cm. The ARHCF was designed and numerically optimized using a finite element method (see Supplementary Note 3), in order to obtain the two main anti-resonant guiding windows at the pump (i.e. 1532.8 nm) and the generated wavelength (i.e. 4.22 μm). The fiber was fabricated using the stack-and-draw method (see “Methods”). The pump is a custom-made linearly polarized fiber laser delivering a pulse train at a repetition rate of 8 kHz with a duration of 6.9 ns (see “Methods”). The pulse energy of the pump is calculated to be ~ 80 µJ, corresponding to an estimated peak power of ~ 11 kW. The center wavelength and linewidth measured by an optical spectrum analyzer (ANDO AQ6317B, AssetRelay) with a resolution of 0.01 nm, are 1532.8 nm and ~ 0.06 nm, respectively. A half-wave plate (HWP) is placed before the ARHCF to optimize the efficiency of the SRS process42. The output beam from the second gas cell is collimated using a CaF2 lens with a focal length of 3 cm. A 2.4 µm long pass filter with 80% transmission at 4.2 µm is used to extract the Raman beam from the residual pump.
In the PA detection arm, the excitation laser passes through a PA cell (outer dimensions of ~ 10 cm length and 4 cm diameter) filled with CO2 at a specified concentration. The concentration of the CO2 is controlled with an accurate dynamic gas distribution method that involves dilution of the initial 500 ppmv CO2 concentration with pure N2 using two mass flow controllers (MFCs) (see “Methods”). The PA signals detected by the microphone are amplified using a low noise band-pass amplifier and a lock-in amplifier (LIA). The output beam from the other side of the PA cell is simultaneously monitored using a thermal power detector.
Characterization of H2-filled ARHCF laser and PA signal
The maximum MIR emission was obtained at the maximum pump power and an optimal fiber length of 3.95 m. When the ARHCF length is longer than the optimal one, the generated power starts to decrease due to the increased fiber loss at the pump as well as the MIR signal wavelength. In the optimal case, the Raman laser is generated when the H2 pressure is higher than 5 bar. Then, the power steadily scales up to saturation (maximum) value of ~ 141 mW at a pressure of 20 bar (see Supplementary Note 4). The maximum pulse energy is up to 17.6 µJ, corresponding to a 74% quantum efficiency excluding the absorption losses from the bulk optics in the experimental setup (see Supplementary Note 4). Both the pulse energy and quantum efficiency are the highest reported in gas-filled fiber lasers beyond 3 µm wavelength35,37,39,43–45. Furthermore, the H2 pressure of 20 bar required to achieve the highest pulse energy is significantly less than other reported results37,43, since in this work the transient Raman regime is efficiently suppressed by using long duration (6.9 ns) pump pulses.
Figure 1c shows the measured spectrum of the Raman laser from near-IR to MIR using an optical spectrometer (Spectro 320, Instrument Systems), as well as the absorbance spectrum of CO2 adopted from the high-resolution transmission molecular absorption database (HITRAN)46. It can be seen that the generated laser line at 4.22 µm overlaps with the strongest absorption band of CO2 as initially designed. The linewidth is expected to be in the range of hundreds of MHz to a few GHz, which cannot be resolved by the spectrum meter with a minimum resolution of 0.3 nm. The generated pulse profile at 4.22 µm is measured using a 100 MHz MIR photodetector (PDAVJ10, Thorlabs) as shown in Fig. 1d. The measured pulse duration of ~ 4.5 ns is less than the pump duration of ~ 6.9 ns due to the threshold of SRS. The peak power is thus calculated to be ~ 3.9 kW using a Gaussian pulse approximation. The oscillation in the trailing edge is caused by the limited bandwidth of the MIR photodetector. For the same reason, the actual pulse duration is slightly less than the measured value of ~ 4.5 ns. The inset of Fig. 1d corresponds to the beam profile of the Raman laser measured by an uncooled terahertz imager (IRV-T0831, NEC), indicating the Gaussian-like power distribution of the fundamental mode in the ARHCF.
The PA wave was detected when the collimated MIR beam interacts with the CO2 molecules inside the PA cell. The recorded waveform of the PA signal generated from a constant CO2 concentration of 500 ppmv has a sudden onset of an acoustic oscillation followed by a slow decay47. The amplitude of the first oscillation is proportional to the released energy of the corresponding heat pulse and thus the laser pulse energy47. This observation is supported by Fig. 1e, showing how the PA intensity obtained from the LIA linearly scales with the pulse energy. The slope of the linear regression is related to the CO2 concentration. The pulse energy in this plot only reaches 4.5 µJ (corresponding to 36 mW average power), which is less than the maximum pulse energy of 17.6 µJ mentioned above. This is mainly attributed to the losses from the long-pass filter with 80% transmission at 4.2 µm, combined with the optical absorption of CO2 in ambient air. The latter leads to a loss of up to ~ 58% due to the ~ 1 m distance between the output gas cell and the PA cell (see Supplementary Note 5).
CO2 detection and analysis
Figure 2 shows the dynamic evolution process of the measured PA intensity with respect to different CO2 concentrations over a range of 500 ppmv–1 ppmv. It should be emphasized that low gas concentrations cannot be simply determined here by monitoring the absorption through the optical power. In order to support this claim, the optical power was recorded in parallel with the PA signal, indicating the random power changes with varying concentrations (see Supplementary Note 6). During the PA monitoring, the PA cell was under a constant flow of CO2 at a specific concentration. The equilibrium between two consecutive concentrations is ranged from ~ 40 s (minimum) to ~ 110 s (maximum), including also the manual adjustment time of the MCFs for every concentration (~ 10 s), as well as the gas diffusion time from the MCFs to the PA cell, connected by a 1.5 m gas tube (6 mm inner diameter). The 4 mm inner diameter of the PA cell is comparable with the gas tube, but it has a short length of only 10 cm, indicating that the gas diffusion time inside the PA cell is far shorter than that of the gas tube.
Figure 3a shows the measured PA signal at different CO2 concentrations, revealing the linear dependence of the PA intensity on the concentration. The linear function extracted from the slope of Fig. 3a, can be expressed as I = 0.0137 × C + 0.46, where I and C denote PA intensity (unit: V) and CO2 concentration (unit: ppmv), respectively. This linear regression acts as a calibration model to calculate the CO2 concentration from the corresponding PA intensity. The top sub-figure in Fig. 3b shows the stability measurement of the PA signal at a constant concentration of 500 ppmv CO2 over 600 s under a continuous flow of CO2 into the PA cell. The 1σ standard derivation was found to be 32.0 mV, corresponding to a concentration of 2.33 ppmv. The measured signal is accompanied by drift over the 600 s monitoring that is induced by the power drift of the Raman laser (see Supplementary Note 7). The background noise recorded by turning off the laser is also presented for comparison (see bottom sub-figure in Fig. 3b). It can be seen that the background noise fluctuates without obvious drift, indicating that the signal drift is dominated by the laser. The calculated 1σ standard derivation is 7.6 mV, corresponding to 557 ppbv. The Allan deviation, which is widely used for the evaluation of a system’s performance in terms of the detection limit as a function of integration time48, is shown in Fig. 3c,d based on the stability measurements of Fig. 3b. In Fig. 3c, it can be seen that the Allan deviation initially exhibits a weak increase as the integration time increases, this is then followed by an approximate linear drop in the logarithmic scale. This decrease is a sign that the background noise mainly obeys a white noise distribution and the drift is negligible48. In Fig. 3d, for an initial integration time of 300 ms, the detection limit is 1.45 ppmv, which is consistent with our experimental observations in Fig. 3e, showing a direct comparison of PA intensities at two different CO2 concentrations. The calculated 1σ standard deviation of 1.2 ppmv at a fixed CO2 concentration of 5 ppmv concentration and 1.06 ppmv at 1 ppmv are in agreement to the Allan deviation of 1.45 ppmv (at 500 ppmv CO2 concentration). When the integration time increases, the system first enters a white-noise dominated region before reaching an optimum integration time. After this optimum value, the system enters the drift-dominated region, which includes various intrinsic and extrinsic “drift” noises such as power instability, temperature fluctuations, etc.48. The detection limit of our system was found to be ~ 600 ppbv at the optimal integration time of 3.9 s. The optimal integration time is relatively short when compared to other similar reports49–51, and the reason is due to the power instabilities of the Raman laser originating from the random quantum noise during the initialization of the vibrational SRS (see Supplementary Note 7). For the detection limit of ~ 605 ppbv at an integration time of 3.9 s, the CO2 absorption coefficient is estimated to be ~ 0.13 cm−1. The lock-in amplifier bandwidth is 0.032 Hz with a filter roll-off rate of 12 dB/octave. Therefore, the normalized noise equivalent absorption is calculated to be ~ 0.0262 cm−1 W/√Hz.
Discussion
Pertaining to the unique features of the PA-based gas detection approach, it is shown that the use of a MIR high pulse energy and peak power H2-filled Raman fiber laser acts as a new element that significantly scales up the performance of a PA system and creates new research directions towards gas spectroscopy and microscopy19. With respect to this regard, our investigation was focused on CO2 monitoring and demonstrated a detection of ~ 600 ppbv at 3.9 s integration time. Moreover, the detection limit of the proposed system can be further improved by suppressing the noise of the Raman laser, that is built-up from the random quantum noise52,53. In order to support our claim, we measured a pulse train of both the initial pump and also the generated MIR laser comparing and indicating the randomly distributed pulse-to-pulse fluctuations (see Supplementary Note 7). The relative standard deviation of pulse energy over 5000 consecutive pulses, was measured to be ~ 3% for the pump while up to ~ 17% for the generated Raman laser which inevitably compromises the signal-to-noise ratio of the PA signal. This is also reflected by monitoring the average power of the pump as well as the output MIR beam from the PA cell (see Supplementary Fig. S6). The wavelength modulation method is a possible way to alleviate the laser power noise, but it needs the laser to operate in CW state. This is however challenging for gas-based Raman laser generation, because the occurrence of stimulated Raman scattering requires high laser intensities (corresponding to several kW peak power for the ARHCF with a core diameter of tens of micrometers). A more feasible solution to tackle the relatively high intensity fluctuation could be the use of an additional low-noise light source within the Raman gain band, in order to suppress the influence of the quantum noise.
In summary, CO2 monitoring with high sensitivity is demonstrated by combining the powerful PA-based detection scheme with the emerging MIR gas-filled fiber laser technology. The excitation source relies upon an H2-filled ARHCF technology to achieve a direct and efficient SRS conversion from a narrow linewidth fiber laser pump delivering 7 ns pulse with 11 kW peak power at 1532.8 nm. The quantum efficiency of the generated MIR Raman laser at 4.22 μm (strongest CO2 absorption band) is about 74%, with a high pulse energy of 17.6 µJ and peak power of ~ 3.9 kW. The development of such excitation parameters enabled the generation of intense PA signals from the CO2 molecules, achieving a predicted detection limit of ~ 600 ppbv.
Methods
Design and fabrication of ARHCF
The designed ARHCF is produced by stacking high-purity silica capillaries inside a larger silica tube, to make the bulk macroscopic replica of the intended fiber, known as the preform. The preform is then fed into a fiber drawing tower, where the glass is heated up to 1650 °C, just above the glass transition temperature of fused silica. The softened glass is then vertically drawn at a controlled speed, to attain the desired fiber dimensions. Unlike conventional solid-core fibers, the presence of air hollow regions in the preform adds a level of complexity in the drawing process since the risk of hole-collapsing is high. To mitigate this challenge, during fiber drawing we used distinct gas pressure lines into each hollow region in the preform in order to maintain a uniform geometric structure as the preform passes through the hot-zone in the furnace.
Pump fiber laser
The pump laser is built using a directly modulated distributed feedback laser (DFB) diode-based all-polarization maintaining master oscillator power amplifier configuration, as shown in Fig. 4. The DFB diode laser is modulated through a pulse generator to deliver linear polarized 7 ns pulses at a repetition rate of 8 kHz. The seed laser is initially amplified using two stages of Er-doped fiber pre-amplifiers core-pumped by sharing the same CW pump laser diode through a laser splitter, and then amplified by a double-clad co-doped Erbium: Ytterbium fiber power amplifier cladding-pumped by 915 nm CW laser diode with 10 W maximum output power. An important limiting factor for the amplification efficiency of the seed laser is the reabsorption effect of Er3+ ions from ground-state of 4I15/2 to upper-level of 4I13/2, which significantly transfers the 1533 nm laser to amplified spontaneous emission (ASE) at a longer wavelength, and thus limits the net gain around that wavelength. Therefore, in order to suppress the reabsorption effect, three bandpass filters (BPFs) with ~ 2 nm bandwidth are used after each amplifier.
The maximum output power of the fiber laser is 1.4 W. By excluding the contribution of ASE, the maximum average power of the pure pulse signal is estimated to be ~ 640 mW. With 8 kHz repetition rate, the pulse energy and peak power are calculated to be ~ 80 µJ and ~ 11 kW, respectively. The measured polarization extinction ratio (PER) of the total output is − 19 dB. Because the ASE part is unpolarized, the PER of the pulse signal is actually higher than this value.
PA signal acquirement and analysis system
The PA cell adopts the conventional cylindrical structure, i.e., a single hollow-core cylinder region running through a stainless steel housing. The cylinder with a small radius of ~ 4 mm and a short length of ~ 10 cm places its acoustic eigenmodes within the broad spectrum range of the PA signals excited by the pulsed laser54. Such a compact dimension of the cell significantly shortens the gas diffusion time and enables fast monitoring of the target gas. The inner surface of the cylinder is well-polished to ensure the uniformity of the acoustic reflections. Sapphire glass serves as the optical windows at both ends of the cylinder where the beam enters/exits. Buffer regions are designed to avoid the acoustic excitation disturbances caused by the absorption of optical windows and the environmental acoustic noise. An acoustic microphone (KECG2740, Kingstate Electronics Corp.) which is the crucial component of the PA cell was placed halfway between the ends of the cylinder. It has a frequency range of 20 Hz–20 kHz. The sensitivity and signal to noise ratio are 10 mV/Pa and 56 dBA at 1 kHz frequency. The microphone diameter is 6 mm. The signal from the microphone is first amplified by a low-noise custom-made preamplifier and is then sent to an LIA (SR530), which is synchronized to the pulse generator of the pump fiber laser. During the experiment, the sensitivity of the LIA was appropriately chosen, to acquire accurate PA data without signal saturation.
CO2 concentration control system
To control the concentration of CO2 in the PA cell, high purity N2 is used as a diluent gas to change the concentration from 500 to 1 ppmv. N2 is a homonuclear diatomic molecule, and thus, does not absorb IR radiation and is a suitable mixing gas for MIR spectroscopy. In the experimental setup, both CO2 and N2 gas bottles are connected to individual MFCs (El-Flow, Bronkhorst High-Tech), where the flow-rates are regulated for a pre-determined concentration. The mixed gas is then flushed through the PA gas cell and the real-time concentration can be read through the PA intensity after the LIA. For the Allan deviation measurement, the flow was set to 3 sccm. This is an attempt to eliminate any additional noise that might arise from the high turbulent flow of gas into the chamber during the sensitive measurement. Since pressure inside the gas-cell is maintained at 1 atm throughout the experiment, there is no increase in concentration as a result of pressure build-up in the gas-cell. This is attained by leaving the exit orifice on the gas-cell open, whenever gas is purged.
Supplementary Information
Acknowledgements
DTU Fotonik and CREOL acknowledge support by the Danmarks Frie Forskningsfond Hi-SPEC project (Grant No. 8022-00091B), Lundbeck Foundation and the project Multi-BRAIN (R276-2018-869), VILLUM FONDEN (Grant No. 36063), ECOMETA (Grant No. 6150-00030B) and US ARO (Grant No. W911NF-19-1-0426).
Author contributions
C.M. conceived the idea. Y.W., M.K.D., A.I.A., and C.M. designed the experiment. J.E.A., and R.A.C. fabricated the ARHCF. Y.W. built and optimized the H2-filled fiber Raman laser. Y.F. designed and provided the PA cell and assisted with the experiments and data acquisition equipment. Y.W., Y.F., M.K.D., and A.I.A. conducted the gas experiments. Y.W., M.K. D.A.I.A. and C.M., performed the data analysis and prepared the manuscript. All the authors assisted to improve the manuscript.
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-021-83041-2.
References
- 1.Petrov KP, Curl RF, Tittel FK. Compact laser difference-frequency spectrometer for multicomponent trace gas detection. Appl. Phys. B-Laser O. 1998;66:531–538. doi: 10.1007/s003400050430. [DOI] [Google Scholar]
- 2.Clark RN, Curchin JM, Hoefen TM, Swayze GA. Reflectance spectroscopy of organic compounds: 1. Alkanes. J. Geophys. Res. Planets. 2009;114:E03001. doi: 10.1029/2008JE003150. [DOI] [Google Scholar]
- 3.Gaida C, et al. Watt-scale super-octave mid-infrared intrapulse difference frequency generation. Light Sci. Appl. 2018;7:94. doi: 10.1038/s41377-018-0099-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cherubini F, Peters GP, Berntsen T, Strømman AH, Hertwich E. CO2 emissions from biomass combustion for bioenergy: Atmospheric decay and contribution to global warming. GCB. Bioenergy. 2011;3:413–426. doi: 10.1111/j.1757-1707.2011.01102.x. [DOI] [Google Scholar]
- 5.Kimball BA. Carbon dioxide and agricultural yield: An assemblage and analysis of 430 prior observations 1. Agron. J. 1983;75:779–788. doi: 10.2134/agronj1983.00021962007500050014x. [DOI] [Google Scholar]
- 6.Smolander M, Hurme E, Ahvenainen R. Leak indicators for modified-atmosphere packages. Trends Food Sci. Technol. 1997;8:101–106. doi: 10.1016/S0924-2244(97)01017-0. [DOI] [Google Scholar]
- 7.Webber ME, Kim S, Sanders ST, Baer DS, Hanson RK, Ikeda Y. In situ combustion measurements of CO2 by use of a distributed-feedback diode-laser sensor near 2.0 µm. Appl. Opt. 2001;40:821–828. doi: 10.1364/AO.40.000821. [DOI] [PubMed] [Google Scholar]
- 8.Feng S, et al. Review on smart gas sensing technology. Sensors. 2019;19:3760. doi: 10.3390/s19173760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Liu X, Cheng S, Liu H, Hu S, Zhang D, Ning H. A survey on gas sensing technology. Sensors. 2012;12:9635–9665. doi: 10.3390/s120709635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Wang J, et al. Mid-infrared absorption-spectroscopy-based carbon dioxide sensor network in greenhouse agriculture: Development and deployment. Appl. Opt. 2016;55:7029–7036. doi: 10.1364/AO.55.007029. [DOI] [PubMed] [Google Scholar]
- 11.Girard JJ, Spearrin RM, Goldenstein CS, Hanson RK. Compact optical probe for flame temperature and carbon dioxide using interband cascade laser absorption near 4.2 µm. Combust. Flame. 2017;178:158–167. doi: 10.1016/j.combustflame.2017.01.007. [DOI] [Google Scholar]
- 12.Spearrin RM, Ren W, Jeffries JB, Hanson RK. Multi-band infrared CO2 absorption sensor for sensitive temperature and species measurements in high-temperature gases. Appl. Phys. B-Lasers O. 2014;116:855–865. doi: 10.1007/s00340-014-5772-7. [DOI] [Google Scholar]
- 13.Lendl, B., Ritter, W., Harasek, M., Niessner, R. & Haisch, C. Photoacoustic monitoring of CO2 in biogas matrix using a quantum cascade laser. in Sensors, 2006 IEEE 338–341 10.1109/ICSENS.2007.355475 (2006).
- 14.Spearrin RM, Goldenstein CS, Jeffries JB, Hanson RK. Fiber-coupled 2.7 µm laser absorption sensor for CO2 in harsh combustion environments. Meas. Sci. Technol. 2013;24:055107. doi: 10.1088/0957-0233/24/5/055107. [DOI] [Google Scholar]
- 15.Galli I, et al. Spectroscopic detection of radiocarbon dioxide at parts-per-quadrillion sensitivity. Optica. 2016;107:385–388. doi: 10.1364/OPTICA.3.000385. [DOI] [Google Scholar]
- 16.Borri S, et al. Intracavity quartz-enhanced photoacoustic sensor. Appl. Phys. Lett. 2014;104:091114. doi: 10.1063/1.4867268. [DOI] [Google Scholar]
- 17.Ntziachristos V, Ripoll J, Wang LV, Weissleder R. Looking and listening to light: The evolution of whole-body photonic imaging. Nat. Biotechnol. 2005;23:313–320. doi: 10.1038/nbt1074. [DOI] [PubMed] [Google Scholar]
- 18.Taruttis A, Ntziachristos V. Advances in real-time multispectral optoacoustic imaging and its applications. Nat. Photonics. 2015;9:219–227. doi: 10.1038/nphoton.2015.29. [DOI] [Google Scholar]
- 19.Shi J, et al. High-resolution, high-contrast mid-infrared imaging of fresh biological samples with ultraviolet-localized photoacoustic microscopy. Nat. Photonics. 2019;13:609–615. doi: 10.1038/s41566-019-0441-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Pleitez MA, et al. Label-free metabolic imaging by mid-infrared optoacoustic microscopy in living cells. Nat. Biotechnol. 2020;38:293–296. doi: 10.1038/s41587-019-0359-9. [DOI] [PubMed] [Google Scholar]
- 21.Jin W, Ho HL, Cao YC, Ju J, Qi LF. Gas detection with micro- and nano-engineered optical fibers. Opt. Fiber Technol. 2013;19:741–759. doi: 10.1016/j.yofte.2013.08.004. [DOI] [Google Scholar]
- 22.Schmid T. Photoacoustic spectroscopy for process analysis. Anal. Bioanal. 2006;384:1071–1086. doi: 10.1007/s00216-005-3281-6. [DOI] [PubMed] [Google Scholar]
- 23.Wolff M, Germer M, Groninga HG, Harde H. Photoacoustic CO2 sensor based on a DFB diode laser at 2.7 μm. Eur. Phys. J. Spec. Top. 2008;153:409–413. doi: 10.1140/epjst/e2008-00473-9. [DOI] [Google Scholar]
- 24.Lewicki R, Wysocki G, Kosterev AA, Tittel FK. Carbon dioxide and ammonia detection using 2 μm diode laser based quartz-enhanced photoacoustic spectroscopy. Appl. Phys. B-Lasers O. 2007;87:157–162. doi: 10.1007/s00340-006-2474-9. [DOI] [Google Scholar]
- 25.Chen K, et al. Tube-cantilever double resonance enhanced fiber-optic photoacoustic spectrometer. Opt. Laser Technol. 2020;123:105894. doi: 10.1016/j.optlastec.2019.105894. [DOI] [Google Scholar]
- 26.Wu H, et al. Beat frequency quartz-enhanced photoacoustic spectroscopy for fast and calibration-free continuous trace-gas monitoring. Nat. Commun. 2017;8:15331. doi: 10.1038/ncomms15331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wu H, et al. Atmospheric CH4 measurement near a landfill using an ICL-based QEPAS sensor with V-T relaxation self-calibration. Sens. Actuators B Chem. 2019;297:126753. doi: 10.1016/j.snb.2019.126753. [DOI] [Google Scholar]
- 28.Hugi A, et al. External cavity quantum cascade laser tunable from 7.6 to 11.4 μm. Appl. Phys. Lett. 2009;95:061103. doi: 10.1063/1.3193539. [DOI] [Google Scholar]
- 29.Zhou W, Wu D, Lu QY, Slivken S, Razeghi M. Single-mode, high-power, mid-infrared, quantum cascade laser phased arrays. Sci. Rep. 2018;8:14866. doi: 10.1038/s41598-018-33024-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wang Z, et al. Large area photonic crystal quantum cascade laser with 5 W surface-emitting power. Opt. Express. 2019;27:22708–22716. doi: 10.1364/OE.27.022708. [DOI] [PubMed] [Google Scholar]
- 31.Sergachev I, et al. Gain-guided broad area quantum cascade lasers emitting 23.5 W peak power at room temperature. Opt. Express. 2016;24:19063–19071. doi: 10.1364/OE.24.019063. [DOI] [PubMed] [Google Scholar]
- 32.Bischel WK, Dyer MJ. Temperature dependence of the Raman linewidth and line shift for the Q(1) and Q(0) transitions in normal and para-H2. Phys. Rev. A. 1986;33:3113–3123. doi: 10.1103/PhysRevA.33.3113. [DOI] [PubMed] [Google Scholar]
- 33.Markos C, Travers JC, Abdolvand A, Eggleton BJ, Bang O. Hybrid photonic-crystal fiber. Rev. Mod. Phys. 2017;89:045003. doi: 10.1103/RevModPhys.89.045003. [DOI] [Google Scholar]
- 34.Dadashzadeh N, et al. Near diffraction-limited performance of an OPA pumped acetylene-filled hollow-core fiber laser in the mid-IR. Opt. Express. 2017;25:13351–13358. doi: 10.1364/OE.25.013351. [DOI] [PubMed] [Google Scholar]
- 35.Cui Y, et al. 4.3 µm fiber laser in CO2-filled hollow-core silica fibers. Optica. 2019;6:951–954. doi: 10.1364/OPTICA.6.000951. [DOI] [Google Scholar]
- 36.Cao L, Gao SF, Peng ZG, Wang XC, Wang YY, Wang P. High peak power 2.8 μm Raman laser in a methane-filled negative-curvature fiber. Opt. Express. 2018;26:5609–5615. doi: 10.1364/OE.26.005609. [DOI] [PubMed] [Google Scholar]
- 37.Astapovich MS, et al. Watt-level nanosecond 4.42-µm Raman laser based on silica fiber. IEEE Photonic. Tech. L. 2019;31:78–81. doi: 10.1109/LPT.2018.2883919. [DOI] [Google Scholar]
- 38.Adamu AI, et al. Deep-UV to mid-IR supercontinuum generation driven by mid-IR ultrashort pulses in a gas-filled hollow-core fiber. Sci. Rep. 2019;9:4446. doi: 10.1038/s41598-019-39302-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Wang Y, et al. High pulse energy and quantum efficiency mid-infrared gas Raman fiber laser targeting CO2 absorption at 4.2 µm. Opt. Lett. 2020;45:1938–1941. doi: 10.1364/OL.389613. [DOI] [PubMed] [Google Scholar]
- 40.Schäfer S, Miklós A, Hess P. Quantitative signal analysis in pulsed resonant photoacoustics. Appl. Opt. 1997;36:3202–3211. doi: 10.1364/AO.36.003202. [DOI] [PubMed] [Google Scholar]
- 41.Patel CKN, Tam AC. Pulsed optoacoustic spectroscopy of condensed matter. Rev. Mod. Phys. 1981;53:517–550. doi: 10.1103/RevModPhys.53.517. [DOI] [Google Scholar]
- 42.Stolen R. Polarization effects in fiber Raman and Brillouin lasers. IEEE J. Quantum Elect. 1979;15:1157–1160. doi: 10.1109/JQE.1979.1069913. [DOI] [Google Scholar]
- 43.Gladyshev, A. V. et al. Efficient 4.42 μm Raman laser based on hollow-core silica fiber. arXiiv:1801.01729 [physics.optics] (2017).
- 44.Gladyshev AV, et al. 2.9, 3.3, and 3.5 μm Raman lasers based on revolver hollow-core silica fiber filled by 1H2/D2 gas mixture. IEEE J. Sel. Top. Quant. 2018;24:1–8. doi: 10.1109/JSTQE.2018.2810378. [DOI] [Google Scholar]
- 45.Aghbolagh FBA, et al. Mid IR hollow core fiber gas laser emitting at 4.6 μm. Opt. Lett. 2019;44:383–386. doi: 10.1364/OL.44.000383. [DOI] [PubMed] [Google Scholar]
- 46.https://hitran.org/lbl/#.
- 47.Miklós A, Hess P. Peer reviewed: Modulated and pulsed photoacoustics in trace gas analysis. Anal. Chem. 2000;72:30A–37A. doi: 10.1021/ac002681m. [DOI] [PubMed] [Google Scholar]
- 48.Werle P, Mücke R, Slemr F. The limits of signal averaging in atmospheric trace-gas monitoring by tunable diode-laser absorption spectroscopy (TDLAS) Appl. Phys. B. 1993;57:131–139. doi: 10.1007/BF00425997. [DOI] [Google Scholar]
- 49.Wang J, Niu X, Zheng L, Zheng C, Wang Y. Wireless mid-infrared spectroscopy sensor network for automatic carbon dioxide fertilization in a greenhouse environment. Sensors. 2016;16:1941. doi: 10.3390/s16111941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Krzempek K, Dudzik G, Abramski K. Photothermal spectroscopy of CO2 in an intracavity mode-locked fiber laser configuration. Opt. Express. 2018;26:28861–28871. doi: 10.1364/OE.26.028861. [DOI] [PubMed] [Google Scholar]
- 51.Hodgkinson J, Smith R, Ho WO, Saffell JR, Tatam RP. Non-dispersive infra-red (NDIR) measurement of carbon dioxide at 4.2 μm in a compact and optically efficient sensor. Sens. Actuators B Chem. 2013;186:580–588. doi: 10.1016/j.snb.2013.06.006. [DOI] [Google Scholar]
- 52.Raymer, M. G. & Walmsley, I. A. III the quantum coherence properties of stimulated Raman scattering. In Prog. Optics, vol. 28 (ed. Wolf, E.) 181–270 (Elsevier, Amsterdam, 1990).
- 53.Landahl E, Baiocchi D, Thompson JR. A simple analytic model for noise shaping by an optical fiber Raman generator. Opt. Commun. 1998;150:339–347. doi: 10.1016/S0030-4018(98)00002-9. [DOI] [Google Scholar]
- 54.Baumann B, Kost B, Groninga H, Wolff M. Eigenmode analysis of photoacoustic sensors via finite element method. Rev. Sci. Instrum. 2006;77:044901. doi: 10.1063/1.2186808. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.