Chinese Optics Letters, Volume. 20, Issue 3, 031201(2022)

Sensitive carbon monoxide detection based on light-induced thermoelastic spectroscopy with a fiber-coupled multipass cell [Invited]

Xiaonan Liu and Yufei Ma*
Author Affiliations
  • National Key Laboratory of Science and Technology on Tunable Laser, Harbin Institute of Technology, Harbin 150001, China
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    A sensor based on light-induced thermoelastic spectroscopy (LITES) with a fiber-coupled multipass cell was demonstrated for carbon monoxide (CO) detection. The fiber-coupled structure has the merits of reducing optical interference and difficulty in optical alignment and increasing system robustness. A 1.57 µm continuous wave distributed feedback diode laser was used as the excitation source. A minimum detection limit of 9 ppm was obtained, and the calculated normalized noise equivalent absorption coefficient was 1.15×10-7 cm-1·W·Hz-1/2. The reported CO-LITES sensor showed excellent linear concentration response and system stability.

    Keywords

    1. Introduction

    Carbon monoxide (CO) is a colorless, odorless, and toxic gas that is harmful to humans. CO binds to hemoglobin in the blood, which in turn causes symptoms of oxygen deprivation in human tissues[1]. The main source of CO is the incomplete combustion of carbonaceous fuels. In addition to natural phenomena such as forest fires and volcanic eruptions, a large amount of CO is also generated by industrial processes and motor vehicle exhaust in urban areas. In recent years, the use of fossil fuels has gradually increased, making the CO pollution to atmosphere serious[2,3]. In addition, the detection of CO concentration exhaled from the human body can be used for clinical diagnosis[4,5]. Therefore, it is necessary to develop CO sensors with high sensitivity and real-time monitoring characteristics.

    The quartz tuning fork (QTF) has become an attractive alternative to the photodetector by virtue of its high sensitivity, wide spectrum response band, small size, and strong noise immunity[610]. QTF-based gas sensing technologies, quartz-enhanced photoacoustic spectroscopy (QEPAS), and light-induced thermoelastic spectroscopy (LITES), which were firstly, to the best of our knowledge, reported in 2002 and 2018 by Tittel[11] and Ma[12], respectively, both use QTF as a detection unit. However, QEPAS requires QTF to be placed in the tested gas environment[1320], which means that it is a contact measurement method[21]. This therefore limits its application in some specific areas such as combustion field diagnosis and corrosive gas detection, because the resonance characteristics of QTF will be affected in such conditions[22].

    LITES technology overcomes the above limitation well. The detection module can be placed far away from the environment to be tested, so that QTF will not be affected[2327]. In LITES, after being absorbed by target gas, the laser is irradiated on the crystal surface of QTF. The light will be absorbed by the quartz crystal and converted into photothermal energy[28,29]. Due to the light-induced thermoelastic effect, QTF produces mechanical movement. When the laser modulation frequency is consistent with the resonance frequency of QTF, the mechanical vibration of QTF is enhanced, and the maximum value of the piezoelectric signal is obtained. It is worth emphasizing that the amount of change in laser intensity during this process determines the magnitude of the thermoelastic signal of QTF. Therefore, custom QTF[30] and that covered with high absorption materials on QTF surface[31,32] are usually adopted to enhance the thermoelastic effect. However, custom-made QTF and material coating are difficult to manufacture and have the increased experimental cost.

    By installing concave mirrors with high reflectivity inside a multipass cell (MPC), multiple reflections of the light beam can be achieved to increase the optical absorption length in LITES. However, conventional MPC usually requires the light beam to be incident in a specific angle to achieve an ideal optical length, which significantly increases the difficulty of optical alignment and reduces the stability of the sensor system due to the usage of plenty of optical elements. In addition, the presence of optical windows can also make the system susceptible to interference phenomena[33]. In order to address the above problems, a fiber-coupled MPC was introduced in this manuscript. The optical path outside the MPC is transmitted by an optical fiber to eliminate the deviation of the optical path in traditional MPCs caused by destabilizing factors such as vibration. By using this fiber-coupled MPC, the optical interference was reduced, and the system had an easy optical adjustment. Furthermore, the coupled fiber with wide wavelength band of 1260–1675 nm was adopted, and the diode laser suitable for this wavelength band has the advantages of high efficiency, small size, and low cost[34,35].

    In this paper, a fiber-coupled MPC with an optical path length of 40 m is introduced to the LITES technique to increase the absorption length for the first time, to the best of our knowledge. The fiber-coupled structure has the merits of eliminating interference, reducing difficulty in optical alignment, and increasing system robustness. A diode laser with emission wavelength of 1.57 µm was adopted as the excitation source. A commercial QTF with a quality (Q)-factor of 14,248 and a resonance frequency of 32.757 kHz was chosen as the detector for light-induced thermoelastic effect. CO was selected as the analysis gas to evaluate the detection performance of the sensing system because of its important application in combustion diagnosis, environmental monitoring, and medical diagnosis.

    2. Experimental Setup

    The simulation of the CO absorption line based on HITRAN 2012 database is shown in Fig. 1[36]. From Fig. 1(a), it can be found that CO absorption of the fundamental vibrational-rotational band (1v band) is located at 4.7 µm. However, the quantum cascade laser covering this wavelength range is expensive and bulky[37,38]. Due to the difficulty and high cost of fiber coupling for lasers at 2.3 µm (2v overtone band), the laser with the emission wavelength of 1.5 µm (3v overtone band) was selected. As shown in Fig. 1(b), the spectral line with strong absorption at 1568.03 nm was chosen in this work.

    Simulation of CO absorption spectra based on HITRAN 2012: (a) absorption line strength; (b) absorption coefficient of 50,000 ppm CO:N2 at 296 K, 1 atm, and 40 m optical path length.

    Figure 1.Simulation of CO absorption spectra based on HITRAN 2012: (a) absorption line strength; (b) absorption coefficient of 50,000 ppm CO:N2 at 296 K, 1 atm, and 40 m optical path length.

    The experimental configuration of the fiber-coupled MPC-based LITES sensor is shown in Fig. 2. A QTF with a resonance frequency f0 of 32.768 kHz (in vacuum) was selected, and its equivalent resistance was measured as 114 kΩ. Wavelength modulation spectroscopy (WMS) with second harmonic (2f) detection was employed to reduce the noise level and simplify the data processing. A signal generator was used to generate a triangular wave with period of 1 s and duty cycle of 50% to scan across the absorption line. A lock-in amplifier was used to generate a sine wave signal with a frequency of f0/2. The triangle wave and sine wave were superimposed and sent to the laser controller. A distributed feedback (DFB) diode laser at 1.57 µm was selected as the excitation source. The diode laser beam emission from the pigtail was firstly sent into the fiber-coupled MPC through a fiber connector. After passing through 40 m optical length in the MPC, the beam exited the MPC and was focused on the base of the QTF finger by a fiber collimator (FC). The divergence angle and focal length of the FC were 0.25° and 30 mm, respectively. The output power of the laser at the absorption line was 9.34 mW; after passing through the MPC, the optical power decreased to 1.21 mW. A beam Q analyzer was used to capture the laser beam profile before and after passing through the MPC. The 2D beam profiles all showed Gaussian distribution. A piezoelectric signal was generated in QTF by the light-induced thermoelastic effect, which was further sent into the lock-in amplifier for demodulation and analysis. The bandwidth of the lock-in amplifier was set to 1.33 Hz, and the filter roll off was 18 dB/oct. The integration time of the sensor was set to 60 ms. A mass flow meter with an uncertainty of 3% was used to dilute the 50,000 ppm (parts per million) CO:N2 with pure nitrogen, and the flow rate was controlled at 300 mL/min.

    Schematic diagram of CO-LITES sensing system. MPC, multipass cell; QTF, quartz tuning fork; ∑, adder; PC, personal computer; FC, fiber collimator; DFB, distributed feedback.

    Figure 2.Schematic diagram of CO-LITES sensing system. MPC, multipass cell; QTF, quartz tuning fork; ∑, adder; PC, personal computer; FC, fiber collimator; DFB, distributed feedback.

    3. Results and Discussion

    Firstly, the resonance frequency f0 of QTF at the experimental condition of atmospheric pressure was measured through the electrical excitation method. As is shown in Fig. 3, the f0 and bandwidth Δf were measured as 32.757 kHz and 2.32 Hz, respectively. The Q-factor was calculated as 14,248 according to the equation Q=f0/Δf, indicating its excellent performance.

    Normalized and squared amplitude of QTF response as a function of frequency.

    Figure 3.Normalized and squared amplitude of QTF response as a function of frequency.

    In order to get a strong response of the CO-LITES sensor, the laser wavelength modulation depth, an important parameter of the second harmonic method in WMS, should be optimized. Figure 4 shows the relationship between the normalized 2f signal amplitude of the CO-LITES sensor and laser wavelength modulation depth. It can be found that the 2f signal amplitude of the CO-LITES sensor increased firstly and then fell down with the increase of modulation depth. The maximum 2f signal amplitude was obtained when the modulation depth was 0.55cm1. Therefore, in the following experiments the optimum modulation depth of 0.55cm1 was adopted.

    Normalized 2f signal amplitude of CO-LITES sensor as a function of laser wavelength modulation depth.

    Figure 4.Normalized 2f signal amplitude of CO-LITES sensor as a function of laser wavelength modulation depth.

    To investigate the linear response of the CO-LITES sensor to CO concentration, the 2f signals of the sensor were collected at different concentrations. After 5% CO:N2 was diluted by pure nitrogen (N2) to 1000, 2000, 5000, 10,000, and 20,000 ppm in proportion, the gas was fed to the MPC at a constant flow rate. The measured values of the 2f signal at different concentrations are shown in Fig. 5. The obtained 2f signal amplitude as a function of CO concentration is depicted in Fig. 6. The calculated R-square value of a linear fit of the 2f signal amplitude was equal to 0.99, indicating that the reported CO-LITES sensor has a good linear response to the CO concentrations.

    CO-LITES sensor 2f signal for different concentrations.

    Figure 5.CO-LITES sensor 2f signal for different concentrations.

    Linear relationship between the peak value of the 2f signal and CO concentration.

    Figure 6.Linear relationship between the peak value of the 2f signal and CO concentration.

    Finally, to further investigate the optimal detection performance and system stability of the fiber-coupled MPC-based CO-LITES sensor, the signal was monitored in real time of 2 h under the condition of pure N2 in the MPC. The obtained data were subjected to Allan deviation analysis, and the result is shown in Fig. 7. The minimum detection limit (MDL) of the CO-LITES sensor was 96 ppm at an integration time of 1 s. When the integration time was extended to 200 s, the MDL was improved to 9 ppm.

    Allan deviation analysis of the CO-LITES sensor.

    Figure 7.Allan deviation analysis of the CO-LITES sensor.

    In addition, the normalized noise equivalent absorption coefficient (NNEA) was also used to evaluate the sensitivity of the sensor. It can be expressed as follows[22]: NNEA=αPΔf,where α is the absorption coefficient, P is the laser power at the absorption line, and Δf is the detection bandwidth of the lock-in amplifier. The calculated NNEA for this fiber-coupled MPC-based CO-LITES sensor was 1.15×107cm1·W·Hz1/2. The performance of this sensor was compared to the other QTF-based gas sensor of QEPAS. The comparisons are listed in Table 1. It can be found that NNEA for the CO-QEPAS sensor is 1.45×105cm1·W·Hz1/2. The detection performance achieved by this fiber-coupled MPC-based CO-LITES sensor was improved significantly.

    • Table 1. Performance Comparison of Two QTF-Based Methods for CO Detection

      Table 1. Performance Comparison of Two QTF-Based Methods for CO Detection

      MethodNNEA (cm1·W·Hz1/2)
      QEPAS[39]1.45×105
      This work1.15×107

    4. Conclusions

    In summary, a novel CO-LITES sensor based on a fiber-coupled MPC was presented for the first time, to the best of our knowledge. The fiber-coupled MPC with an effective optical path of 40 m was used to increase CO absorption and finally to enhance the light-induced thermoelastic effect in QTF. A pigtailed, near infrared, DFB diode laser emitting at 1.57 µm was selected as the laser emission source. The laser wavelength modulation depth for the selected absorption line at 1568.03 nm was optimized to 0.55cm1. An MDL of 9 ppm was obtained at an integration time of 200 s for this sensor, and the calculated NNEA was 1.15×107cm1·W·Hz1/2. The CO-LITES sensor showed excellent linear response for different concentrations of CO gas. Due to the fiber-coupled feature of excellent stability and minimization to optical interference, this CO-LITES sensor is suitable for industrial measurements and environmental monitoring.

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    Xiaonan Liu, Yufei Ma, "Sensitive carbon monoxide detection based on light-induced thermoelastic spectroscopy with a fiber-coupled multipass cell [Invited]," Chin. Opt. Lett. 20, 031201 (2022)

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    Paper Information

    Category: Instrumentation, Measurement, and Optical Sensing

    Received: Dec. 5, 2021

    Accepted: Dec. 29, 2021

    Published Online: Jan. 26, 2022

    The Author Email: Yufei Ma (mayufei@hit.edu.cn)

    DOI:10.3788/COL202220.031201

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