Literature DB >> 35198377

Sensitivity enhanced NIR photoacoustic CO detection with SF6 promoting vibrational to translational relaxation process.

Yingying Qiao1, Liping Tang1, Yang Gao1, Fengtao Han1, Chenguang Liu1, Lei Li1, Chongxin Shan1.   

Abstract

A challenge for slowly relaxing carbon monoxide (CO) molecules detection using photoacoustic spectroscopy (PAS) is to promote the vibration-translation (V-T) relaxation process. Addressing this challenge, a sensitivity enhanced photoacoustic CO sensor with sulfur hexafluoride (SF6) as the promotor is investigated and demonstrated. A 1568 nm near-infrared (NIR) laser diode and a customized optical amplifier are used as the excitation source to generate the photoacoustic signal. A differential photoacoustic cell is simulated and designed to obtain identical laminar flow distribution in the resonant cell to suppress the flow noise. The modulation frequency and added SF6 volume ratio are optimized experimentally to achieve optimal sensitivity. Feasibility and performance of the CO sensor with a small amount of SF6 as promotor is discussed and evaluated, obtaining a ~ 2 times improvement of signal value compared to the one with pure N2 background and resulting in a minimum detection limit of 467.5 ppb for CO detection.
© 2022 The Authors.

Entities:  

Keywords:  Carbon monoxide sensor; High sensitivity; Near-infrared light source; Photoacoustic spectroscopy; Sulfur hexafluoride; Vibrational to translational relaxation process

Year:  2022        PMID: 35198377      PMCID: PMC8844726          DOI: 10.1016/j.pacs.2022.100334

Source DB:  PubMed          Journal:  Photoacoustics        ISSN: 2213-5979


Introduction

Carbon monoxide (CO) is a colorless, odorless and highly toxic gas, which is emitted from the incomplete combustion of fossil fuels, organic compounds. Evidences show that excessive exposure to CO can cause dizziness, confusion, unconsciousness and even death [1]. A safe exposure limitation of 9 ppm CO concentration for an 8-h period has been adopted by the US Environmental Protection Agency (EPA) [2]. In addition, the concentration level of CO in exhaled human breath is regarded as a potential indicator for various diseases, such as oxidative stress, anemia and inflammation [3], [4]. Therefore, reliable and highly sensitive CO detection is a critical requirement in many applications. Photoacoustic spectroscopy (PAS) is one of the popular trace CO detection technologies because of its high sensitivity and excellent selectivity. It determines the CO concentration via monitoring the acoustic wave generated by the periodic photoacoustic excitation occurring within an absorbing gas [5]. The very basic element for the technology is the light source, which can be mainly classified as near-infrared (NIR) and mid-infrared (MIR) [6], [7], [8], [9]. The absorption spectrum of gases located in NIR band is typically overtones of fundamental vibration in MIR band and hence can be significantly weaker [10]. However, the availability of high quality light source, elements and amplifiers from optical communication applications can counteract the disadvantage and obtain high signal to noise ratio (SNR). Additionally, the acoustic wave detector also is the key element of PAS. Up to now, microphone, quartz tuning fork, and cantilever as the acoustic wave detector has been widely researched [5], [11], [12]. Among them, the microphone has been well developed and has great advantages of stability, reliability, availability and cost. Hence, considering the practical application, the NIR PAS-based CO sensor with microphone as the acoustic wave detector is the best choice. However, improving the sensitivity of the aforementioned sensor remains an ongoing challenge. There are two basic approaches currently being adopted to improve sensitivity. One is increasing the excitation light power [13], [14], [15], such as Yin et al. boosted the NIR light to ~ 10 W, resulting in a ppb-level CO detection sensitivity [16]; meanwhile, Yin et al. detected multicomponent by-products of SF6 decomposition by amplifying the light power to 1.724 W, achieving a minimum detection limits (MDL) of 435 ppb for CO [17]; Mao et al. implemented an all-optical photoacoustic spectrometer using 1 W light source, and the obtained detection limits for CO was 4.6 ppm [18]. However, increasing power light source will lead to high power consumption, high cost, degraded light beam quality and complex cooling system which significantly limits the commercialization of the CO sensor. The other is promoting the vibration-translation (V-T) relaxation process [19], [20], for example, Li et al. added 2.5% of water vapor into dry CO/N2 mixture, resulting a gain factor of ~ 8 on the peak value of the quartz-enhanced photoacoustic spectroscopy (QEPAS) spectra and achieving a ppb-level detection limit for CO [21]; Qiao et al. confirmed that a ~8 times PAS signal enhancement was obtained by adding water vapor in PAS sensor system, resulting a MDL of 9.8 ppm for CO [22]; Ma et al. also added the water vapor in dry CO/N2 to improve the sensitivity of CO sensor, obtaining a 11-fold improvement of signal value compared to the one of a dry gas sample and resulting a MDL of 4.2 ppm [23]. Though, the water vapor is an extensively implemented promotor for PAS-based CO sensing, it is easy to condense into water droplets on the surface of the windows, wall of photoacoustic cell (PAC), and sensing probe of acoustic wave detector. The condensed water droplets may broaden the light beam, roughen the wall of the PAC, and worsen the performance of sensing probe, which will significantly impact the sensitivity and operating life of the PAS-based CO sensor. To solve the problem, SF6 may be a promising candidate, because it is one kind of stable, non-flammable, and non-toxic gas, meanwhile, it has numerous vibrational and rotational levels, which raises the possibility of energy transfer in collisions with excited molecules and creates a ladder for subsequent multistep relaxation [24]. Previous studies have verified SF6 is a great catalyst for CO2 and N2O measurement using in MIR QEPAS system, while has no influence on the CO detection for the same measurement system [24], [25]. We think the reason is the high working frequency of QEPAS which is usually around 32.7 kHz, it is too high to benefit from the promoted V-T relaxation process. CO is a kind of slowly relaxing molecule with the relaxation time constant of ~ 10 ms Torr in dry N2 [26]. When the period corresponding to the working frequency is smaller than the relaxation time of CO molecule, the temperature in PAC cannot follow the rapid changes in the laser-induced molecular excitation rate which will cause heat accumulation and seriously impact the photoacoustic signal [27]. Moreover, the promoting ability of SF6 for NIR CO detection has not been studied yet. Hence, it is worthy of analysis the promoting characteristic of SF6 for NIR CO detection based on traditional PAS using microphone as the acoustic wave detector and working at low frequency. In this paper, a highly sensitive PAS-based CO sensor with SF6 enhanced V-T relaxation process working at NIR region was investigated and implemented for the first time. A continuous wave, distributed feedback (DFB) laser diode emitting at 1568.04 nm was used as the excitation source. A differential photoacoustic cell (DPAC) was designed and fabricated by 3D printing technology to reduce the flow noise. Two condenser microphones were embedded to detect the differential photoacoustic signal. SF6 acting as the promotor was added in the PAS system to promote the V-T relaxation rate of the CO molecule. To suppress the absorption noise of window and wall, wavelength modulation spectroscopy and second-harmonic (2f-WMS) detection technique was utilized in this designed sensor. To achieve the optimal sensitivity, modulation frequency and added SF6 volume ratio was optimized experimentally. Finally, the linear response relation between photoacoustic signals and gas concentrations was obtained by flowing through CO with different concentrations.

Experiment setup

Wavelength and excitation source selection

The principle of the PAS is to detect the acoustic wave signal generated by photoacoustic effect. For traditional PAS sensor, the acoustic signal is converted to electric signal by a sensitive microphone. The obtained electric signal U at the weak absorption regime can be expressed as [28], [29]:where S is the microphone sensitivity (unit: mV/Pa), P(λ) is the excited light power at the chosen absorption line, C is the photoacoustic cell constant which generally relates to the PAC geometry, modulation frequency of light and physical characteristic of carrier gas, α(λ) represents the gas absorption coefficient. Obviously, the U is directly proportional to absorption coefficient α(λ) at the weak absorption regime when other parameter remains unchanged. So, to obtain high electric signal response, choosing strong absorption line is necessary. Meanwhile, to guarantee the excellent selectivity, the chosen absorption line must be free of interference from other potential background gases (such as SF6, CO2, H2O, H2S). According to the HITRAN database [30], the CO absorption spectrum in NIR is plotted in Fig. 1(a), it is shown that two main absorption bands locate in this region, one is near 1.56 µm, the other is near 2.33 µm. Though the absorption line is stronger near 2.33 µm, the power of the related DFB laser is just several milliwatts and there is no appropriate light amplification technique in this band. Hence, 1.56 µm band is a prefer choice to implement NIR CO detection. Specially, SF6 molecule as the promotor shows no absorption lines in this band [9]. In addition, to avoid the interference of other gases, the absorption spectrum of CO2, H2O, H2S is also analyzed, as shown in Fig. 1(b). Consequently, the absorption line of 1568.04 nm is chosen to implement CO detection.
Fig. 1

CO absorption spectrum: (a) the first and second overtone absorption band of CO molecule locating at NIR region, (b) the absorption lines of CO, H2S, CO2, H2O from 1567 nm to 1570 nm, inset is the chosen absorption line of CO at 1568.04 nm.

CO absorption spectrum: (a) the first and second overtone absorption band of CO molecule locating at NIR region, (b) the absorption lines of CO, H2S, CO2, H2O from 1567 nm to 1570 nm, inset is the chosen absorption line of CO at 1568.04 nm.

Photoacoustic cell design

PAC is a core component of PAS sensor, which is used to generate resonant acoustic wave. As shown in Eq. 1, the cell constant C is also a key parameter for improving the photoacoustic signal, and it can be expressed by [31]:where k is the geometrical correction factor; γ is the ratio of specific heats at constant pressure and volume; l is the resonant cell length; Q is the quality factor which can be calculated by the ratio of the resonance frequency f and the full width at half maximum (FWHM) of the acoustic resonance; f is the selected measurement frequency which is usually the resonant frequency for the purpose of obtaining optimum sensitivity; V is the volume, which is directly proportional to the R2 (R is the radius of the resonator) for the cylindrical resonator. Based on the Thermoviscous acoustic module of COMSOL, we analyzed the frequency response and Q of a differential photoacoustic cell (DPAC). The results indicated that the acoustic pressure in the DPAC increased with the R decreasing for the same frequency, while the Q decreased with the R decreasing. The Q as a function of R is shown in the Fig. 2(a), meanwhile, the acoustic pressure of different frequency in the DPAC for different R is shown in the Fig. 2(b).
Fig. 2

Simulation of the differential photoacoustic cell: (a) Q factor for different radius of photoacoustic cell; (b) the acoustic pressure for different modulation frequency and radius.

Simulation of the differential photoacoustic cell: (a) Q factor for different radius of photoacoustic cell; (b) the acoustic pressure for different modulation frequency and radius. So far, various types of PAC have been investigated and proposed in the field of trace gas detection [32], [33], [34]. Given the analysis results shown in Fig. 2, a typical DPAC (the 3D schematic diagram is plotted in Fig. S1, Supplementary material) which is composed of two identical channels with length of 30 mm and diameter of 6 mm is designed and simulated, as shown in Fig. 3(a). Compared to other PACs [35], [36], [37], the resonant frequency is designed to be around 3 kHz, which is within the response bandwidth of microphone and large enough to reduce the 1/f noise. For the purpose of reducing windows absorption and turbulence noise, two buffer volumes with length of 15 mm and diameter of 30 mm are attached to both end of the resonant cell. Meanwhile, to determine the location of the gas inlet and outlet, simulations based on Finite Element Method (FEM) are implemented to obtain the laminar flow distribution which is beneficial to reduce flow noise in the resonant cells (shown in Fig. 3(b)). It is can be seen from Fig. 3(b) that the asymmetric flow velocity distribution appears with the flow rate increasing, which means the related noise cannot be suppressed well by the designed DPAC at large flow rate. Finally, frequency sweeping results of the acoustic pressure integration in the designed DPAC is depicted in Fig. 3(c). It shows that the peak of first-order longitudinal mode appears in the middle of the resonant cell where two microphones with same frequency response sensitivity are embedded to detect the acoustic wave signal.
Fig. 3

Theorical analysis: (a) schematic of the designed DPAC, including two identical resonant cells as the reference and sensing channel, respectively; (b) the simulated velocity distribution of the designed DPAC at flow rate of 200 sccm and 800 sccm; (c) the results of frequency sweeping from 2000 Hz to 3800 Hz, the first-order longitudinal mode appears at around 3096 Hz.

Theorical analysis: (a) schematic of the designed DPAC, including two identical resonant cells as the reference and sensing channel, respectively; (b) the simulated velocity distribution of the designed DPAC at flow rate of 200 sccm and 800 sccm; (c) the results of frequency sweeping from 2000 Hz to 3800 Hz, the first-order longitudinal mode appears at around 3096 Hz.

Experimental set-up

The experimental set-up composed of a gas dilution system, a DFB laser, a 3D-printed DPAC which is made of photosensitive resin, and data processing module is depicted in Fig. 4. To reduce the coherent noise caused by window and wall absorption, the 2f-WMS technique is usually adopted. So a superposed signal which contains a sinusoidal signal with frequency of fo/2 (fo is the first-order longitudinal resonant frequency of the DPAC) and a low frequency ramp signal of 0.05 Hz is generated by a digital arbitrary waveform generator (Fluke 294) to modulate the laser wavelength (ILX Lightwave LDX-3232). A 1568.04 nm DFB laser diode (G&H E0067929) and a customized EDFA is used as the excitation source to generate and boost the light to ~ 1 W. During the experiments, the laser temperature remains to be 39.9 °C by a temperature controller (ILX Lightwave LDT-5525B) to guarantee the central wavelength of 1568.04 nm unchanged. Then, the light beam is aligned to pass through the sensing channel of the DPAC by a fiber collimator, and a Ag-coated mirror is employed to reflect the light beam back to increase the absorbed light power. Meanwhile, the pressure in the DPAC remains at atmospheric pressure. Afterwards, the generated photoacoustic signals are converted to electric signals by the embedded microphones (BSWA MPA416 570074). Finally, the detected electric signals are fed into a Lock-in amplifier (Stanford Research Systems Model SR830) to demodulate at frequency of f.
Fig. 4

The schematic of experimental set-up, including: gas dilution system, excitation source and driver, DPAC, and signal processing module.

The schematic of experimental set-up, including: gas dilution system, excitation source and driver, DPAC, and signal processing module. During the concentration calibration experiments, three standard gas cylinders of pure N2, pure SF6 and 1000 ppm CO/N2 are connected to a gas dilution system to generate different concentrations of CO/N2/SF6 gas mixtures. The used gas dilution system is composed of three identical mass flow controllers (MFC, MF-200 C, INHA) and a gas mixer. During the dilution process, the pure N2, pure SF6 and 1000 ppm CO/N2 gas mixture flow through three identical MFCs, respectively. Then, they are fed into a gas mixer simultaneously to homogenize the gas mixture. To reduce the time of gas exchange and suppress the flow noise as far as possible, the total flow rate is controlled at 200 sccm during the experiments.

Results and discussion

Many researchers have verified that the modulation frequency has significantly impacts on the performance of PAS-based sensor [29], [38]. Hence, it will be optimized to obtain high-sensitive CO detection in the following experiments. Additionally, SF6 with different volume ratio will be added in CO/N2 gas mixture to research the improvement effect on sensitivity of NIR PAS-based CO sensor. For the purpose of determining the optimal modulation frequency, the frequency response of DPAC was analyzed by measuring the peak-to-peak values of photoacoustic signal during a wide frequency range at atmospheric pressure and room temperature. In the experiments, we analyzed several kinds of frequency response when 0%, 2%, 3%, 4% SF6 was added in 500 ppm CO/N2 gas mixture. The frequency responses of these gas mixtures were plotted in Fig. 5. Results showed that the optimal modulation frequencies for these gas mixtures were 1557 Hz, 1503 Hz, 1461 Hz, and 1432 Hz corresponding to the resonant frequencies of 3114 Hz, 3006 Hz, 2922 Hz and 2864 Hz (the modulation frequency was half of the resonant frequency in 2 f demodulation method). Compared to the simulation, the difference in resonant frequencies in the experimental data could be attributed to the gas density variation, change of bulk viscosity and speed of sound. This was due to pure N2 used in the simulation, while SF6/CO/N2 with different volume ratio used in the experimental set-up. Besides this, the resonant frequency decreased with the volume ratio of SF6 increasing.
Fig. 5

The results of frequency sweep for four kinds of gas mixtures at atmospheric pressure and room temperature, data markers represent the measured results, lines are the results of Lorentz fitting.

The results of frequency sweep for four kinds of gas mixtures at atmospheric pressure and room temperature, data markers represent the measured results, lines are the results of Lorentz fitting. In present work, the 1568.04 nm absorption line was selected and thus a related DFB laser diode was chosen as the excitation source. In order to compensate the weak strength of absorption line, a customized EDFA was utilized to boost the output power to ~ 1 W. Considering the measurement flow rate of 200 sccm, the saturation effect of the designed sensor could be neglect in our experiments. To verify the improvement effect of SF6 on PAS-based NIR CO sensor, SF6 with different volume ratio was added in 500 ppm CO/N2 gas mixture. The experiments were carried out at atmospheric pressure and room temperature. Then, the amplitudes of the 2 f photoacoustic signals were recorded as a function of the SF6 volume ratio at corresponding resonant frequency as shown in Fig. 6(a). Obviously, an approximately 2 times improvement of signal value with 2% SF6 adding in was obtained compared to the one without SF6 adding in. Meanwhile, with the SF6 volume ratio increasing, the values basically remained constant. This implied that the improvement of signal values did not depend on the modulation frequency decrease or gas physical characteristic change when the volume ratio of added SF6 was smaller than 4%. Fig. 6(a) inset was the 2 f signal of 500 ppm CO in pure N2 and 2% SF6/N2, it is clear that the signal in 2% SF6/N2 was narrower than that in pure N2. This reason could be owed to the enhanced V-T relaxation process of CO molecule when a small amount of SF6 was added in the sensor. The enhanced V-T relaxation process could accelerate the heat release process which was beneficial to reduce the signal aliasing. Moreover, the amplitudes of the 2 f photoacoustic signal when a 2% SF6 was added in CO/N2 gas mixture with different concentration were also analyzed at the modulation frequency of 1557 Hz (the resonant frequency of DPAC in pure N2) and 1503 Hz (the resonant frequency of DPAC in 2% SF6/ N2), respectively. As shown in Fig. 6(b) inset, compared to the results of 1503 Hz, the sensitivity at the modulation frequency of 1557 Hz did not seriously deteriorate, which was contributed to the wide frequency response range. This indicated that the dither of modulation frequency, and small resonant frequency shift caused by the concentration change of added SF6 could not significantly impact the performance of the designed sensor. In conclusion, the modulation frequency of 1503 Hz was selected to implement the following experiments, and a 2% SF6 is added in to improve the sensitivity of the designed PAS-based NIR CO sensor.
Fig. 6

(a) the photoacoustic amplitudes of 500 ppm CO with SF6 of different volume ratio added in, inset depicts the 2 f signal of 500 ppm CO in pure N2 and 2% SF6/N2; (b) the comparison of photoacoustic response at modulation frequency of 1503 Hz and 1557 Hz when 2% SF6 was added in the sensor.

(a) the photoacoustic amplitudes of 500 ppm CO with SF6 of different volume ratio added in, inset depicts the 2 f signal of 500 ppm CO in pure N2 and 2% SF6/N2; (b) the comparison of photoacoustic response at modulation frequency of 1503 Hz and 1557 Hz when 2% SF6 was added in the sensor. Finally, CO/N2 gas mixtures with different concentration ratio were produced by a gas dilution system and fed into the DPAC, meanwhile, a 2% SF6 as the promotor was added in each gas mixture to calibrate the system. Additionally, CO/N2 gas mixtures were also measured as reference. A 1-s time constant was set for the Lock-in amplifier to demodulate the photoacoustic signal at the 2 f mode (the bandwidth is 0.25 Hz). The measurements were carried out at atmospheric pressure and room temperature. As plotted in Fig. 7, the mean 2 f signal amplitudes were recorded as a function of different concentration levels. Results confirmed that an excellent linearity response to the CO concentration levels was obtained, and the sensitivity with 2% SF6 adding in rose from 68 μV/ppm to 130 μV/ppm. Compared to the system with pure N2 background, a gain factor of ~ 2 on the sensitivity was obtained. The photoacoustic signals by filling pure N2 and 2% SF6/N2 were also recorded to evaluate the corresponding noise level, respectively. The results showed that the standard deviations (1σ) of the noise for these two kinds of background gas was 78.01 μV and 60.77 μV corresponded to a MDL of 1147.2 ppb and 467.5 ppb. Table 1 shows the comparison of the main indexes for the two kinds of background gas.
Fig. 7

The PAS peak signals at different CO concentrations (datapoints) and the related best linear fit (solid line), the blue represents pure N2 as the background gas, the red represents the 2% SF6/N2 as the background gas.(For interpretation of the references to colour in this figure, the reader is referred to the web version of this article.)

Table 1

Comparison of the main indexes for the two kinds of background gas.

Background GasSensitivity (μV/ppm)Noise 1σ (μV)MDL (ppb)
N26878.011147.2
2% SF6/N213060.77467.5
The PAS peak signals at different CO concentrations (datapoints) and the related best linear fit (solid line), the blue represents pure N2 as the background gas, the red represents the 2% SF6/N2 as the background gas.(For interpretation of the references to colour in this figure, the reader is referred to the web version of this article.) Comparison of the main indexes for the two kinds of background gas. A side-by-side comparison of PAS systems for trace CO detection based on NIR laser source is shown in Table 2. Considering the used light source and power, the method investigated in this paper has great practical potentiality for improving the performance of NIR PAS-based CO sensor and achieving high sensitivity.
Table 2

Comparison of the developed NIR PAS-based CO sensor and previously reported systems.

RefTechnologyFrequencyWavelength (nm)PowerPromotorMDL
16PAS345.3 Hz1566.310 WNone110 ppb
18CEPAS*1600 Hz1568.041 WNone4.6 ppm
23QEPAS15.384 kHz2330.193.7 mWWater vapor4.2 ppm
This paperPAS1505 Hz1568.04~1 WSF6467.5 ppb

*CEPAS: Cantilever enhanced photoacoustic spectroscopy

Comparison of the developed NIR PAS-based CO sensor and previously reported systems. *CEPAS: Cantilever enhanced photoacoustic spectroscopy

Conclusion

In this report, a highly sensitive NIR PAS-based CO sensor with SF6 enhancing the V-T relaxation process was developed and demonstrated. A DFB laser diode emitting at 1568.04 nm and a customized EDFA was selected to generated ~ 1 W light beam, which could compensate the weak absorption line strength. Meanwhile, to further improve the sensitivity of the designed sensor, SF6 was introduced as the promotor. Experimental results verified that the SF6 held the ability of improving the sensitivity of NIR PAS-based CO sensor. And a gain factor of ~ 2 for photoacoustic signal value was achieved by adding 2% SF6 in the sensing system. With optimizing the modulation frequency, a MDL of 467.5 ppb was obtained. Compared to the sensors which improve the sensing performance by increasing the light power, the proposed sensor in this report has advantages of simple construction, relatively low power consumption. Considering that no absorption lines for SF6 locate in NIR (the absorption spectrum of SF6 is depicted in Fig. S2, Supplementary material), the measuring sensitivity of many other slowly relaxing gas molecules (such as N2O, CO2, NO, HCN) whose overtone absorption band locates in NIR region will be beneficial from the SF6 promotor in PAS system. Hence, the proposed methodology opens up a new avenue for improving the sensitivity of NIR PAS-based sensors.

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.
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