Next Article in Journal
A Capacitive 3-Axis MEMS Accelerometer for Medipost: A Portable System Dedicated to Monitoring Imbalance Disorders
Next Article in Special Issue
Investigation and Optimization of a Line-Locked Quartz Enhanced Spectrophone for Rapid Carbon Dioxide Measurement
Previous Article in Journal
Critical Image Identification via Incident-Type Definition Using Smartphone Data during an Emergency: A Case Study of the 2020 Heavy Rainfall Event in Korea
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Ultra-Highly Sensitive Hydrogen Chloride Detection Based on Quartz-Enhanced Photothermal Spectroscopy

National Key Laboratory of Science and Technology on Tunable Laser, Harbin Institute of Technology, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(10), 3563; https://doi.org/10.3390/s21103563
Submission received: 12 April 2021 / Revised: 13 May 2021 / Accepted: 19 May 2021 / Published: 20 May 2021
(This article belongs to the Special Issue State-of-the-Art Optical Sensors Technology in China)

Abstract

:
Combining the merits of non-contact measurement and high sensitivity, the quartz-enhanced photothermal spectroscopy (QEPTS) technique is suitable for measuring acid gases such as hydrogen chloride (HCl). In this invited paper, we report, for the first time, on an ultra-highly sensitive HCl sensor based on the QEPTS technique. A continuous wave, distributed feedback (CW-DFB) fiber-coupled diode laser with emission wavelength of 1.74 µm was used as the excitation source. A certified mixture of 500 ppm HCl:N2 was adapted as the analyte. Wavelength modulation spectroscopy was used to simplify the data processing. The wavelength modulation depth was optimized. The relationships between the second harmonic (2f) amplitude of HCl-QEPTS signal and the laser power as well as HCl concentration were investigated. An Allan variance analysis was performed to prove that this sensor had good stability and high sensitivity. The proposed HCl-QEPTS sensor can achieve a minimum detection limit (MDL) of ~17 parts per billion (ppb) with an integration time of 130 s. Further improvement of such an HCl-QEPTS sensor performance was proposed.

1. Introduction

Hydrogen chloride (HCl) is an essential gas used in chemical production which performs key roles in various important fields, for example, semiconductor manufacturing, biofuel combustion, and plasma etching [1,2]. The sources of atmospheric HCl are primarily incineration plants, accidental emission, and medical waste [3,4,5]. Considering that HCl is toxic, corrosive, and harmful to human health and the environment, there is significant demand for the detection of HCl gas concentration levels [6,7]. To continuously monitor and control concentration levels, sensors for HCl need to provide real-time data, fast response, and have a sensitive detection ability at low parts per million (ppm) and parts per billion (ppb) levels [5].
Various types of HCl sensors, including amperometric, optical, and solid electrochemical, have been investigated [1,2,3,4,5,6,7]. Laser absorption spectroscopy (LAS) with advantages of rapid response, as well as non-invasive, highly sensitive, and selective detection is widely applied for HCl sensing. Tunable diode laser absorption spectroscopy (TDLAS) has been adopted for measuring HCl and a precision of 2 ppm at 1 s averaging time has been obtained [8]. Generally, a multi-pass gas cell has been employed in TDLAS to improve the detection performance; however, this has resulted in the TDLAS sensor being bulky and costly. Quartz-enhanced photoacoustic spectroscopy (QEPAS) is another effective method for trace gas detection [9,10,11]. Due to the advantages of low cost (<USD 1), tiny volume (a few cubic millimeters), dipole structure, and high dynamic range and wavelength independence of the quartz tuning fork (QTF) [12,13,14,15,16,17], QEPAS has many merits such as low budget, compact size, and high sensitivity [18,19,20,21]. A minimum detection limit (MDL) of 550 ppb for HCl has been achieved by the QEPAS method [7]. However, owing to the fact that the QTF must be immersed in the target gas in QEPAS, the metal films on the surface of the QTF can be corroded during long-term exposure. The QTF resonance properties can be deteriorated by acid and corrosive gases such as HCl, which brings sensor failure. Therefore, achieving a non-contact measurement is especially essential for the detection of acid and corrosive gases.
Quartz-enhanced photothermal spectroscopy (QEPTS), another QTF-based sensitive trace gas detection technique, was invented, in 2018, by Ma et al. [22]. The laser first passes through the target gas, and then the gas absorbs partial energy of the laser. When the laser arrives at the QTF, the laser energy is absorbed by the QTF and converted into thermal energy [23,24]. Because of thermoelastic expansion, the thermal energy is translated into mechanical motion, which is enhanced by the resonant property of the QTF [25,26]. The mechanical motion creates an electrical signal due to the piezoelectric effect. By demodulating this electrical signal, the concentration of target gas can be retrieved. As compared with QEPAS, QEPTS has the same merits but also ensures the analyte does not contact the QTF, which means that QEPTS is suitable for acidic and corrosive gases detection. However, until now, HCl detection based on the QEPTS technique has not been reported.
In this invited paper, an ultra-highly sensitive HCl sensor based on the QEPTS technique was demonstrated for the first time. The proposed HCl-QEPTS sensor achieved an MDL of 17 ppb when the data acquisition time was 130 s. The reported HCl sensor is suitable for atmospheric monitoring and other applications that demand high sensitivity and long-term stability.

2. Experimental Setup

2.1. Absorption Line Selection

As compared with mid-infrared lasers such as a quantum cascade laser (QCL), diode lasers have the advantages of compactness, low cost, and a fiber-coupled structure. Therefore, a diode laser with an output wavelength less than 3 µm was chosen as the light source. The absorption lines located below 3 µm were calculated according to the HITRAN 2016 database [27] and are shown in Figure 1a. It can be observed that absorption lines around 1.8 µm have stronger absorption line strength than those located at 1.2 µm. Therefore, as shown in Figure 1b, an intense absorption line located at 5739.27 cm−1 (1742.38 nm) was selected in this experiment.

2.2. Sensor Configuration

The experimental setup of the reported HCl sensor based on the QEPTS technique is shown in Figure 2. The laser excitation source was a continuous wave, distributed feedback (CW-DFB) fiber-coupled diode laser with a wavelength of 1.74 µm and optical power of 8 mW. A fiber collimator (FC) was used to collimate the laser beam which was sent into a HCl absorption cell with 20 cm length. The cell was equipped at both ends with a wedged CaF2 window to avoid optical interference. After passing through the cell, using a lens with 50 mm focal length, the laser beam was focused on the root of the QTF, which is shown with a red dot in Figure 2, to generate the strongest photothermal signal [28]. The dimensions of the QTF’s prongs are shown in the enlarged view of Figure 2. The laser power was changed by employing an optical attenuator (OA) to investigate the power response of the HCl-QEPTS sensor. Because the integration time of the QTF can be increased by using a QTF with low resonance frequency (f0) [29], therefore, a QTF with an f0 of 30.72 kHz (in vacuum) was employed in the experiment to improve the QEPTS sensor performance. The geometry of the used QTF is depicted in Figure 2. Wavelength modulation spectroscopy (WMS) and second harmonic (2f) detection were utilized to detect the electrical signals. A ramp with low frequency and a sinusoidal wave with a high frequency of f0/2 were added together to scan and modulate the wavelength of the used CW-DFB diode laser. The piezoelectric signal generated by the QTF was obtained by a custom control electronics unit (CEU). A CEU contains six parts, including a trans-impedance amplifier (TA), analog-to-digital converter (ADC), lock-in amplifier, digital-to-analog converter (DAC), adder, and diode laser. By using CEU, the demodulated 2f component of QEPTS was acquired. The integration time of lock-in amplifier for the HCl-QEPTS sensor was 1 s. A certified mixture of 500 ppm HCl:N2 was adapted as the analyte. The measurements were carried out at atmospheric pressure and room temperature.

3. Experimental Results and Discussions

Firstly, the dependence of the HCl-QEPTS signal amplitude on wavelength modulation depth was investigated and the obtained results are shown in Figure 3. It can be observed that the HCl-QEPTS signal amplitude first increased, and then decreased with an increase in modulation depth. The maximum signal value was achieved when the modulation depth was 0.234 cm−1. Therefore, the optimized modulation depth was found to be 0.234 cm−1.
To investigate the relationship between HCl-QEPTS 2f signal amplitude and the QTF, two different QTFs with f0s of 30.72 and 32.768 kHz (in vacuum) were tested. The properties of the QTF were investigated by using the CEU, and they are listed in Table 1. The equivalent resistance (R), quality factor (Q), and f0 for the first QTF with an f0 of 30.72 kHz (in vacuum) were measured as 134 kΩ, 12,100, and 30.70 kHz, respectively. For the second QTF with an f0 of 32.768 kHz (in vacuum), the measured results of R, Q, and f0 were 84.6 kΩ, 14,405, and 32.763 kHz, respectively. A low f0 is better to accelerate the relaxation rate of target gas. The R refers to the charge loss in the equivalent resonator circuit. A low R can enhance charge generation capability. The Q is affected by all the energy dissipation mechanisms around the vibrating QTF prong. A high Q is beneficial to the signal amplitude and detection sensitivity [30]. The QEPTS 2f signals for the two QTFs are shown in Figure 4. From this figure, it can be observed that the QEPTS 2f signal amplitude for the QTF with an f0 of 30.72 kHz is higher than the QTF with an f0 of 32.768 kHz, which confirmed the advantages of using the QTF with a low f0 of 30.72 kHz.
The HCl-QEPTS 2f signal was measured, as shown in Figure 5a, when the laser modulation depth was 0.234 cm−1 and incident laser power was 8 mW. The maximum signal amplitude was 2.99 mV. The background noise level was determined by continually monitoring the amplitude while the laser wavelength was located at the HCl absorption line for 120 s with pure nitrogen (N2) filled into the HCl absorption cell. The results are depicted in Figure 5b, and the calculated 1σ noise was 2.51 µV. On the basis of the above results, a signal-to-noise ratio (SNR) value of ~1191 was calculated for this HCl-QEPTS sensor. According to the formula of minimum detection limit, (MDL) = analyte concentration/SNR, an MDL of ~419.8 ppb was obtained.
To investigate the relationship between laser power and the HCl-QEPTS signal amplitude, an adjustable OA was placed between the FC and HCl absorption cell to change the power from 1 to 8 mW. The measured HCl-QEPTS signal amplitude as a function of the laser power was plotted, as shown in Figure 6. The linear fitting based on signal amplitude and laser power was established. The R-square for the fitting was equal to ~0.99, which indicated that laser power and signal amplitude had a good linear relationship. A 2f signal waveform was inserted in Figure 6 when the laser power was 1 mW. The HCl-QEPTS sensor signal level can be increased when a laser with high optical power is used.
To verify the linear response of QEPTS signal and HCl concentration, the QEPTS 2f signal for different HCl concentrations was investigated, as shown in Figure 7a. The gas flow rate of a mixture of 500 ppm HCl:N2 and pure dry N2 were controlled by two mass flow controllers to obtain different HCl concentrations. The linear fit of the QEPTS signal amplitude and HCl concentration are shown in Figure 7b, and the value of R-square was equal to ~0.99. These results imply that the HCl-QEPTS sensor has an excellent linear response, which is convenient for practical applications in HCl detection.
To investigate the long-term stability of this HCl-QEPTS sensor, an Allan variance analysis was performed by measuring and averaging the data using pure N2. The results are displayed in Figure 8. When white noise dominates the measurements, the Allan plot follows the ~τ−1 slope. A fitting using ~τ−1 function for the partial experimental data was done in the Allan deviation. The minimum in the Allan deviation corresponds to the detection limit at the optimum integration time. As a result of system instability, sharp spikes appeared after 400 s. It was observed that when the optimum integration time was 130 s, the MDL of ~17 ppb could be achieved. In addition, good stability of the HCl-QEPTS sensor was proven, according to the long optimum integration time of 130 s.

4. Conclusions

In this paper, we demonstrate, for the first time, an ultra-highly sensitive QEPTS sensor for HCl detection. A CW-DFB fiber-coupled diode laser with an emission wavelength of 1.74 µm was used as the excitation source. A QTF with an f0 of 30.70 kHz was employed as a photothermal detector. A certified mixture of 500 ppm HCl:N2 was adapted as the analyte. The optimized wavelength modulation depth was 0.234 cm−1. By calculating the measured 2f signal and noise, an MDL of ~419.8 ppb was obtained when the integration time was 1 s. It was verified that this HCL-QEPTS sensor had a good linear response with the laser power and HCl concentration. An Allan variance analysis was performed to prove this sensor had excellent stability and high sensitivity. The proposed HCl-QEPTS sensor can achieve an MDL of ~17 ppb with an integration time of 130 s. As compared with traditional TDLAS and QEPAS methods, the proposed HCl-QEPTS sensor is low cost and ultra-highly sensitive, and the QTF is not corroded by HCl, therefore, improving system stability. Furthermore, increasing the absorption path and optical power are effective methods to enhance the photothermal signal of such a sensor.

Author Contributions

Methodology, S.Q.; validation, Y.H.; investigation, Y.L.; supervision, Y.M.; writing—original draft preparation, Z.L.; writing—review and editing, Y.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (grant nos. 62022032, 61875047, and 61505041), the Natural Science Foundation of Heilongjiang Province of China (grant no. YQ2019F006), and the Fundamental Research Funds for the Central Universities, Financial Grant from the Heilongjiang Province Postdoctoral Foundation (grant no. LBH-Q18052).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Li, Z.S.; Sun, Z.W.; Li, B.; Alden, M.; Forsth, M. Spatially resolved trace detection of HCl in flames with mid-infrared polarization spectroscopy. Opt. Lett. 2008, 33, 1836–1838. [Google Scholar] [CrossRef]
  2. Matsuguchi, M.; Kadowaki, Y.; Noda, K.; Naganawa, R. HCl gas monitoring based on a QCM using morpholine-functional styrene-co-chloromethylstyrene copolymer coatings. Sens. Actuators B 2007, 120, 462–466. [Google Scholar] [CrossRef]
  3. Supriyatno, H.; Yamashita, M.; Nakagawa, K.; Sadaoka], Y. Optochemical sensor for HCl gas based on tetraphenylporphyrin dispersed in styrene–acrylate copolymers: Effects of glass transition temperature of matrix on HCl detection. Sens. Actuators B 2002, 85, 197–204. [Google Scholar] [CrossRef]
  4. Supriyatno, H.; Nakagawa, K.; Sadaoka, Y. Optochemical HCl gas detection using mono-substituted tetraphenylporphin-polymer composite films. Sens. Actuators B 2001, 76, 36–41. [Google Scholar] [CrossRef]
  5. Baron, M.G.; Narayanaswamy, R.; Thorpe, S.C. Hydrophobic membrane sensors for the optical determination of hydrogen chloride gas. Sens. Actuators B 1996, 34, 511–515. [Google Scholar] [CrossRef]
  6. Lv, Y.Y.; Wu, J.; Xu, Z.K. Colorimetric and fluorescent sensor constructing from the nanofibrous membrane of porphyrinated polyimide for the detection of hydrogen chloride gas. Sens. Actuators B 2010, 148, 233–239. [Google Scholar] [CrossRef]
  7. Ma, Y.F.; He, Y.; Yu, X.; Chen, C.; Sun, R.; Tittel, F.K. HCl ppb-level detection based on QEPAS sensor using a low resonance frequency quartz tuning fork. Sens. Actuators B 2016, 233, 388–393. [Google Scholar] [CrossRef] [Green Version]
  8. Qu, Z.C.; Nwaboh, J.; Werhahn, O.; Ebert, V. Towards a TDLAS-based spectrometer for absolute HCl measurements in combustion flue gases and a better evaluation of thermal boundary layer effects. Appl. Sci. Res. 2021, 106, 533. [Google Scholar] [CrossRef]
  9. Wu, H.P.; Dong, L.; Yin, X.K.; Sampaoloc, A.; Patimiscoc, P.; Ma, W.G.; Zhang, L.; Yin, W.B.; Xiao, L.T.; Spagnolo, V.; et al. Atmospheric CH4 measurement near a landfill using an ICL-based QEPAS sensor with V-T relaxation self-calibration. Sens. Actuators B 2019, 297, 126753. [Google Scholar] [CrossRef]
  10. Ma, Y.F.; Lewicki, R.; Razeghi, M.; Tittel, F.K. QEPAS based ppb-level detection of CO and N2O using a high power CW DFB-QCL. Opt. Express 2013, 21, 1008–1019. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Borri, S.; Patimisco, P.; Galli, I.; Mazzotti, D.; Giusfredi, G.; Akikusa, N.; Yamanishi, M.; Scamarcio, G.; De Natale, P.; Spagnolo, V. Intracavity quartz-enhanced photoacoustic sensor. Appl. Phys. Lett. 2014, 104, 091114. [Google Scholar] [CrossRef]
  12. Qiao, S.D.; He, Y.; Ma, Y.F. Trace gas sensing based on single-quartz-enhanced photoacoustic-photothermal dual spectroscopy. Opt. Lett. 2021, 46, 2449–2452. [Google Scholar] [CrossRef]
  13. Milde, T.; Hoppe, M.; Tatenguem, H.; Mordmüller, M.; Ogorman, J.; Willer, U.; Schade, W.; Sacher, J. QEPAS sensor for breath analysis: A behavior of pressure. Appl. Opt. 2018, 57, C120–C127. [Google Scholar] [CrossRef]
  14. Zheng, H.D.; Liu, Y.H.; Lin, H.Y.; Liu, B.; Gu, X.H.; Li, D.Q.; Huang, B.C.; Wu, Y.C.; Dong, L.P.; Zhu, W.G.; et al. Quartz-enhanced photoacoustic spectroscopy employing pilot line manufactured custom tuning forks. Photoacoustics 2020, 17, 100158. [Google Scholar] [CrossRef]
  15. Wang, Q.Z.; Wang, W.R.; Patimisco, P.; Sampaolo, A.; Spagnolo, V. Fiber-ring laser intracavity QEPAS gas sensor using a 7.2 kHz quartz tuning fork. Sens. Actuators B 2018, 268, 512–518. [Google Scholar] [CrossRef]
  16. Qiao, S.D.; Ma, Y.F.; Patimisco, P.; Sampaolo, A.; He, Y.; Lang, Z.T.; Tittel, F.K.; Spagnolo, V. Multi-pass quartz-enhanced photoacoustic spectroscopy-based trace gas sensing. Opt. Lett. 2021, 46, 977–980. [Google Scholar] [CrossRef]
  17. Petra, N.; Zweck, J.; Kosterev, A.A.; Minkoff, S.E.; Thomazy, D. Theoretical analysis of a quartz-enhanced photoacoustic spectroscopy sensor. Appl. Phys. B 2009, 94, 673–680. [Google Scholar] [CrossRef]
  18. Patimisco, P.; Sampaolo, A.; Dong, L.; Tittel, F.K.; Spagnolo, V. Recent advances in quartz enhanced photoacoustic sensing. Appl. Phys. Rev. 2018, 5, 011106. [Google Scholar] [CrossRef]
  19. Waclawek, J.P.; Moser, H.; Lendl, B. Compact quantum cascade laser-based quartz-enhanced photoacoustic spectroscopy sensor system for detection of carbon disulfide. Opt. Express 2016, 24, 6559–6571. [Google Scholar] [CrossRef]
  20. Liu, K.; Guo, X.Y.; Yi, H.M.; Chen, W.D.; Zhang, W.J.; Gao, X.M. Off-beam quartz-enhanced photoacoustic spectroscopy. Opt. Lett. 2009, 34, 1594–1596. [Google Scholar] [CrossRef]
  21. Li, Y.; Wang, R.Z.; Tittel, F.K.; Ma, Y.F. Sensitive methane detection based on quartz-enhanced photoacoustic spectroscopy with a high-power diode laser and wavelet filtering. Opt. Laser. Eng. 2020, 132, 106155. [Google Scholar] [CrossRef]
  22. Ma, Y.F.; He, Y.; Tong, Y.; Yu, X.; Tittel, F.K. Quartz-tuning-fork enhanced photothermal spectroscopy for ultra-high sensitive trace gas detection. Opt. Express 2018, 26, 32103–32110. [Google Scholar] [CrossRef] [Green Version]
  23. Ma, Y.F.; He, Y.; Patimisco, P.; Sampaolo, A.; Qiao, S.D.; Yu, X.; Tittel, F.K.; Spagnolo, V. Ultra-high sensitive trace gas detection based on light-induced thermoelastic spectroscopy and a custom quartz tuning fork. Appl. Phys. Lett. 2020, 116, 011103. [Google Scholar] [CrossRef]
  24. Russo, S.D.; Zifarelli, A.; Patimisco, P.; Sampaolo, A.; Wei, T.T.; Wu, H.P.; Dong, L.; Spagnolo, V. Light-induced thermo-elastic effect in quartz tuning forks exploited as a photodetector in gas absorption spectroscopy. Opt. Express 2020, 28, 19074–19084. [Google Scholar] [CrossRef]
  25. Ma, Y.F.; Hu, Y.Q.; Qiao, S.D.; He, Y.; Tittel, F.K. Trace gas sensing based on multi-quartz-enhanced photothermal spectroscopy. Photoacoustics 2020, 20, 100206. [Google Scholar] [CrossRef]
  26. Hu, Y.Q.; Qiao, S.D.; He, Y.; Lang, Z.T.; Ma, Y.F. Quartz-enhanced photoacoustic-photothermal spectroscopy for trace gas sensing. Opt. Express 2021, 29, 5121–5127. [Google Scholar] [CrossRef]
  27. Gordon, I.E.; Rothman, L.S.; Hill, C.; Kochanov, R.V.; Tan, Y.; Bernath, P.F.; Birk, M.; Boudon, V.; Campargue, A.; Chance, K.V.; et al. The HITRAN 2016 molecular spectroscopic database. J. Quant. Spectrosc. Ra. 2017, 203, 3–69. [Google Scholar] [CrossRef]
  28. He, Y.; Ma, Y.F.; Tong, Y.; Yu, X.; Tittel, F.K. Ultra-high sensitive light-induced thermoelastic spectroscopy sensor with a high Q-factor quartz tuning fork and a multipass cell. Opt. Lett. 2019, 44, 1904–1907. [Google Scholar] [CrossRef]
  29. Ma, Y.F.; He, Y.; Yu, X.; Zhang, J.B.; Sun, R.; Tittel, F.K. 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. 2016, 108, 091115. [Google Scholar] [CrossRef] [Green Version]
  30. Li, S.Z.; Dong, L.; Wu, H.P.; Sampaolo, A.; Patimisco, P.; Spagnolo, V.; Tittel, F.K. Ppb-level quartz-enhanced photoacoustic detection of carbon monoxide exploiting a surface grooved tuning fork. Anal. Chem. 2019, 91, 5834–5840. [Google Scholar] [CrossRef]
Figure 1. Simulation of HCl absorption based on the HITRAN 2016 database. (a) Absorption line strength; (b) absorption coefficient, at 296 K, standard atmospheric pressure, and an optical path length of 1 cm for 500 ppm HCl:N2.
Figure 1. Simulation of HCl absorption based on the HITRAN 2016 database. (a) Absorption line strength; (b) absorption coefficient, at 296 K, standard atmospheric pressure, and an optical path length of 1 cm for 500 ppm HCl:N2.
Sensors 21 03563 g001
Figure 2. Schematic diagram of the experimental setup. FC, fiber collimator; OA, optical attenuator; TA, trans-impedance amplifier; ADC, analog-to-digital converter; DAC, digital-to-analog converter; CEU, control electronics unit. L1 = 3.9 mm, L2 = 5.4 mm, W = 0.62 mm, T = 0.36 mm, and G = 0.32 mm. The red dot indicates the optimum position for the laser beam on the QTF in QEPTS.
Figure 2. Schematic diagram of the experimental setup. FC, fiber collimator; OA, optical attenuator; TA, trans-impedance amplifier; ADC, analog-to-digital converter; DAC, digital-to-analog converter; CEU, control electronics unit. L1 = 3.9 mm, L2 = 5.4 mm, W = 0.62 mm, T = 0.36 mm, and G = 0.32 mm. The red dot indicates the optimum position for the laser beam on the QTF in QEPTS.
Sensors 21 03563 g002
Figure 3. HCl-QEPTS 2f signal amplitude as a function of the modulation depth. The blue solid line is a guide for visually connecting the experimental data points. The green dotted line is used to mark the optimum modulation depth.
Figure 3. HCl-QEPTS 2f signal amplitude as a function of the modulation depth. The blue solid line is a guide for visually connecting the experimental data points. The green dotted line is used to mark the optimum modulation depth.
Sensors 21 03563 g003
Figure 4. The QEPTS 2f signals for the two QTFs. The resonance frequencies of the two QTFs are 30.72 and 32.768 kHz (in vacuum), respectively.
Figure 4. The QEPTS 2f signals for the two QTFs. The resonance frequencies of the two QTFs are 30.72 and 32.768 kHz (in vacuum), respectively.
Sensors 21 03563 g004
Figure 5. The 2f signal and noise for the HCl-QEPTS sensor. (a) QEPTS 2f signal with laser power of 8 mW; (b) noise level determination when pure N2 was adopted.
Figure 5. The 2f signal and noise for the HCl-QEPTS sensor. (a) QEPTS 2f signal with laser power of 8 mW; (b) noise level determination when pure N2 was adopted.
Sensors 21 03563 g005
Figure 6. HCl-QEPTS sensor 2f signal amplitude as a function of laser power at the optimized modulation depth. The insert shows QEPTS 2f signal with laser power of 1 mW.
Figure 6. HCl-QEPTS sensor 2f signal amplitude as a function of laser power at the optimized modulation depth. The insert shows QEPTS 2f signal with laser power of 1 mW.
Sensors 21 03563 g006
Figure 7. Variation of QEPTS 2f signal with HCl concentrations. (a) QEPTS 2f signals at different HCl concentrations with modulation depth of 0.234 cm−1; (b) peak value of QEPTS 2f signal at different HCl concentrations and corresponding linear fitting.
Figure 7. Variation of QEPTS 2f signal with HCl concentrations. (a) QEPTS 2f signals at different HCl concentrations with modulation depth of 0.234 cm−1; (b) peak value of QEPTS 2f signal at different HCl concentrations and corresponding linear fitting.
Sensors 21 03563 g007
Figure 8. Allan deviation analysis for the HCl-QEPTS sensor. The minimum in the Allan deviation is determined by using the fitting of ~τ−1 function for the experimental data.
Figure 8. Allan deviation analysis for the HCl-QEPTS sensor. The minimum in the Allan deviation is determined by using the fitting of ~τ−1 function for the experimental data.
Sensors 21 03563 g008
Table 1. The measured properties of the two QTFs in atmospheric pressure.
Table 1. The measured properties of the two QTFs in atmospheric pressure.
QTF f0 (kHz)R (kΩ)Q
130.7013412,100
232.76384.614,405
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Ma, Y.; Lang, Z.; He, Y.; Qiao, S.; Li, Y. Ultra-Highly Sensitive Hydrogen Chloride Detection Based on Quartz-Enhanced Photothermal Spectroscopy. Sensors 2021, 21, 3563. https://doi.org/10.3390/s21103563

AMA Style

Ma Y, Lang Z, He Y, Qiao S, Li Y. Ultra-Highly Sensitive Hydrogen Chloride Detection Based on Quartz-Enhanced Photothermal Spectroscopy. Sensors. 2021; 21(10):3563. https://doi.org/10.3390/s21103563

Chicago/Turabian Style

Ma, Yufei, Ziting Lang, Ying He, Shunda Qiao, and Yu Li. 2021. "Ultra-Highly Sensitive Hydrogen Chloride Detection Based on Quartz-Enhanced Photothermal Spectroscopy" Sensors 21, no. 10: 3563. https://doi.org/10.3390/s21103563

APA Style

Ma, Y., Lang, Z., He, Y., Qiao, S., & Li, Y. (2021). Ultra-Highly Sensitive Hydrogen Chloride Detection Based on Quartz-Enhanced Photothermal Spectroscopy. Sensors, 21(10), 3563. https://doi.org/10.3390/s21103563

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop