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Real-time gas sensing based on optical feedback in a terahertz quantum-cascade laser

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Abstract

We report on real-time gas sensing with a terahertz quantum-cascade laser (QCL). The method is solely based on the modulation of the external cavity length, exploiting the intermediate optical feedback regime. While the QCL is operated in continuous-wave mode, optical feedback results in a change of the QCL frequency as well as its terminal voltage. The first effect is exploited to tune the lasing frequency across a molecular absorption line. The second effect is used for the detection of the self-mixing signal. This allows for fast measurement times on the order of 10 ms per spectrum and for real-time measurements of gas concentrations with a rate of 100 Hz. This technique is demonstrated with a mixture of D2O and CH3OD in an absorption cell.

© 2017 Optical Society of America

1. Introduction

Spectroscopy at terahertz (THz) frequencies has attracted increasing interest in recent years [1,2]. Due to the presence of a variety of characteristic spectral features, the THz region is very promising for applications in the field of medicine, security screening, and astronomy [3]. Examples of THz spectroscopic applications include the detection of human cancer tissue with a portable THz pulsed spectrometer [4] and the identification of illicit drugs and explosive materials with a THz time-domain spectrometer [5]. Another example is the THz heterodyne spectrometer onboard the Stratospheric Observatory for Infrared Astronomy (SOFIA), which allows for the observation of cold interstellar matter and planetary atmospheres [6].

At present, THz spectroscopy is realized with a variety of techniques [7]. Due to their narrow linewidth, quantum-cascade lasers (QCLs) are well suited for THz high-resolution molecular spectroscopy [8,9]. However, the extensive use of THz QCLs for spectroscopic applications is still limited by the system size and complexity including the detector. While detectors operating at room temperature such as Golay cells or pyroelectric detectors are typically rather slow and not very sensitive, cryogenically cooled detectors are very sensitive, but expensive and bulky. These detection schemes have in common that the sensitivity increases with the power of the THz source.

A rather compact and sensitive detection scheme is based on the response of the QCL to external optical feedback (EOF). EOF is induced if a fraction of the emitted light is reflected back into the active medium, giving rise to the self-mixing effect, which is measurable through a change of certain QCL parameters such as power, frequency, and voltage. In such a configuration, the sensitivity does not scale with the THz source power, but with the relative amount of the back-coupled light. So far, the self-mixing technique has been applied to THz interferometry and imaging [10–14]. Recently, we demonstrated the feasibility of high-resolution spectroscopy through self-mixing with a QCL operating at 3.4 THz and in the weak-feedback regime [15]. However, in the limit of weak feedback, the small self-mixing signal results in measurement times on the order of several minutes per spectrum. Since scattering processes typically occur on a ps time scale, the response time of QCLs to EOF is intrinsically suitable for very fast, real-time spectroscopic applications [12,16]. Such a real-time EOF spectrometer based on a QCL has been theoretically proposed for high-speed material detection and identification [17].

In this paper, we present a real-time EOF sensor based on a QCL operating at 4.7 THz in an intermediate feedback regime. The study comprises an experimental as well as theoretical investigation and demonstrates that THz spectroscopy through EOF is not limited to weak feedback. This allows for short measurement times on the order of 10 ms for a single spectrum with a 200 MHz coverage. As a further advantage, we show that, at intermediate feedback levels, EOF can be applied to replace conventional frequency tuning by simply varying the length of the external cavity. This is exploited to tune the QCL frequency across a molecular rotational transition of gaseous deuterium oxide (D2O) in an absorption cell. We further demonstrate real-time monitoring of the gas concentrations in a mixture of D2O and deuterated methanol (CH3OD) at rates of 100 Hz. Finally, the results are compared to conventional direct absorption measurements.

2. Experimental setup

A schematic diagram of the experimental setup is shown in Fig. 1(a). THz radiation is generated by a QCL with a lateral distributed feedback grating and a 873 µm long resonator. The active region design is based on a GaAs/(Al,Ga)As heterostructure and a single-plasmon waveguide with an outcoupling facet of 10 × 80 µm2. In [18], Schrottke et al. describe details of the active region. The QCL is operated in a compact Stirling cryocooler (Ricor K535) at temperatures in the range of 40−50 K [19]. The exit window is made of high-density polyethylene (HDPE). For self-mixing, the QCL is operated at a current of 588 mA and a heat sink temperature of 48 K. The QCL DC current is provided by a low-noise current source (QCL 1000, Wavelength Electronics). The heat sink temperature is stabilized by a temperature control unit (CryoCon C24) with an accuracy of ± 1 mK. In this configuration, the QCL emits a single frequency at 4.7518 THz with an optical output power of up to 1.4 mW. The sensor is controlled via a CompactRIO (National Instruments) system.

 figure: Fig. 1

Fig. 1 (a) Scheme of the experimental setup used for real-time gas sensing based on EOF. THz radiation is emitted by a QCL and focused onto a plane mirror mounted on a voice coil, which induces the self-mixing effect. The optical path consists of an absorption cell filled with D2O or CH3OD or a mixture of both species and a rotating wire grid. By changing the wire grid angle, the absorption signal can be directly measured with a Ge:Ga detector. (TMP: turbo molecular pump). (b) Transmission through the wire grid as a function of the wire grid angle δ for the EOF signal and the signal measured with the Ge:Ga detector. The transmission can be described with cosine functions with different phases as indicated by the red and blue lines. (c) Transmission spectrum of D2O (blue line) and CH3OD (red line) measured with the Ge:Ga detector at a pressure of 100 Pa. The frequency scale has been derived from the linear frequency-current characteristic and refers to the QCL operating point used for self-mixing.

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The QCL beam is collected by a 90° parabolic off-axis mirror with a diameter of 25.4 mm. At a distance of 75 mm from the vacuum window of the cooler, the beam enters a 300-mm long absorption cell with an inner diameter of 45 mm sealed by 1.5-mm thick HDPE windows. The windows of the absorption cell are tilted with respect to the optical axis to avoid standing waves, which would generate additional EOF. For gas phase spectroscopy, D2O is injected into the absorption cell via a needle valve (V1) and evacuated by a turbomolecular pump (TMP), which is connected to the cell by a second valve (V2). For real-time observation of gas mixtures, a second gas such as CH3OD can be injected via another valve V3. The pressure inside the evacuated absorption cell is below 5 × 10−2 Pa. The operating pressure used in our experiments ranges from 1 to 200 Pa.

At a distance of 90 mm from the exit window of the absorption cell, the beam is transmitted through a rotating wire grid with a diameter of 76.2 mm, which is mounted at an angle of 45° with respect to the optical axis. The wire grid splits the beam and allows for variation of the feedback strength. In the path of the first beam, the transmitted beam is focused onto a plane mirror so that an external cavity, which induces EOF, is formed by the mirror and the outcoupling laser facet. The plane mirror is mounted on a voice coil, which serves as a linear translation stage. This allows for modulation of the QCL frequency as a function of the mirror displacement. The modulation is controlled by the cRIO and read outwith a dedicated position sensor. The self-mixing signal is obtained by measuring the voltage across the QCL. A liquid-helium-cooled Ge:Ga detector is placed in the focus of the path of the second beam in order to measure the absorption signal directly. The path length between the outcoupling facet of the QCL and the plane mirror or the Ge:Ga detector is 565 mm in both cases. The self-mixing voltage and the detector signal are monitored via the cRIO, which operates at a sampling rate of 50 kHz.

Figure 1(b) displays the transmission through the wire grid as a function of the wire grid angle δ, which has been measured at the position of the mirror as well as of the Ge:Ga detector with a power meter (TK TeraHertz Absolute Power Meter System, Thomas Keating). A variation of the wire grid angle allows for the reduction of the feedback level.

Figure 1(c) shows the transmission spectra of D2O and CH3OD, which have been separately measured with the Ge:Ga detector through a variation of the QCL driving current at a pressure of 100 Pa. The frequency scale corresponds to a linear frequency-current characteristic with a tuning coefficient of −34 MHz/mA and has been confirmed by a simulation based on the Jet Propulsion Laboratory (JPL) molecular spectroscopy catalog [20]. Details of the assignment procedure are described in [21]. The absorption peak of the D2O line is visible at −68 MHz with respect to the QCL operating point used for EOF spectroscopy, i.e. the unperturbed frequency ν0. The absorption peak of CH3OD is observed at −29 MHz [Fig. 1(c)].

3. Measurement principle

The measurement principle is solely based on EOF. While the QCL is operated in continuous-wave mode at a fixed temperature and a fixed driving current, frequency tuning is obtained by varying the external cavity length. The signal detection is based on the feedback-induced voltage variation of the QCL. We first consider a system without any gas species, for which the feedback parameter C equals the value C0 for the evacuated absorption cell. The behavior of the system is well described by the Lang-Kobayashi theory [22]. In terms of optical phases, the self-mixing equation reads [12,22]

Δϕ=C0sin[Δϕϕ0+arctan(αLEF)].
Here, Δϕ = ϕ0ϕ denotes the difference between the optical phase ϕ0 = 4πdc−1ν0 of the unperturbed system and ϕ = 4πdc−1ν of the system with optical feedback. αLEF is the linewidth enhancement factor. In terms of the optical phases, d denotes the external cavity length, c the speed of light, and ν0 and ν the unperturbed and perturbed frequency, respectively. We now assume a cavity length d = ds with ϕs = ϕ0 (ds) so that
arctan(αLEF)ϕs=2πN,
where N is an integer. In this case, Eq. (1) is solved by Δϕ = 0. It is important to note that the condition defined by Eq. (2) can always be realized by adjusting the external cavity length. In the vicinity of ds, the solution of Eq. (1) becomes single valued even in the intermediate feedback regime (1 < C0 < 4.6). The variation of the cavity length can then be exploited to tune the laser frequency across a certain range. The maximum tuning range, for which the solution of Eq. (1) remains strictly single valued, is obtained for C0 = 1.8. Since the system remains typically metastable under a variation of the cavity length even for larger feedback parameters, the optimum experimental conditions are expected for 1.8 < C0 < 4.6. Above that level, always three or more stable solutions exist, which complicates the preparation of a well-defined default state.

We now consider a small variation of the cavity length Δd = dds, fulfilling the condition

|Δd| <1+C04πν0c1ΔdM,
with ΔdM denoting the maximum variation of the cavity length. Within this range, we approximate sin(x) in Eq. (1) by x. The feedback-induced frequency shift then becomes
Δν=ν0C01+C0Δdd.
The result is illustrated in Fig. 2(a), which depicts the frequency shift as a function of the dimensionless displacement Δd/ΔdM for different feedback parameters. While the solid line refers to Eq. (4), the dashed line shows the exact solution according to Eq. (1) revealing only marginal deviations for |Δd| < ΔdM.

 figure: Fig. 2

Fig. 2 (a) Calculated frequency shift Δν as a function of the normalized mirror displacement Δd/ΔdM for different feedback levels C0 as indicated for an evacuated absorption cell, i.e. Apk = 0. The solid lines refer to calculation results using Eq. (4), while the dashed lines refer to the exact solution of Eq. (1). The parameters are ds = 56 cm and ν0 = 4.745 THz. (b) Calculated values of Δν as a function of Δd/ΔdM evaluated using Eq. (6) for different absorption levels Apk of D2O as indicated at 300 K (Doppler broadened). The hysteresis at larger absorption levels is related to the forward and backward motion of the mirror.

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In the presence of an absorbing gas species, the feedback parameter changes according to

C=TC0=eαLC0,
where T denotes the single-pass power transmission through the absorption cell, which is determined by the absorption coefficient α of the molecule and the length L of the gas column. Apparently, the feedback parameter becomes now frequency dependent. In addition, also the optical cavity length becomes frequency dependent due to the change of the refractive index. This requires rewriting Eq. (4) in terms of the optical phases, which yields

Δϕ=C1+C(ϕ0ϕs).

The solutions of Eq. (6) are illustrated in Fig. 2(b) for a Doppler-broadened D2O absorption line and different peak absorption values Apk at the center of the absorption line Apk = max(1−T). For smaller values of Apk, a deviation from the linear frequency dependence is obtained only in the vicinity of the peak. At larger peak absorption values, hysteresis appears where the size of the hysteresis loop increases with increasing Apk. In such cases, a certain frequency range around the peak will not be covered by the tuning mechanism.

Another important aspect is the detection of the self-mixing signal via the terminal voltage of the QCL. The self-mixing component of the voltage due to the modulation of the laser gain follows [12,14]

UEOF=mCcos(ϕ)=mTC0cos[arctan(αLEF)+1+C01+TC0ΔdΔdM],
where m is a constant. We define the apparent transmission as
T=UEOF(gas)UEOF(ref).
Here, UEOF (gas) is the self-mixing voltage obtained with the absorption cell filled with gas, while UEOF (ref) refers to the self-mixing voltage for an empty absorption cell. Figure 3(a) illustrates the self-mixing signal UEOF, which is obtained for different absorption levels. For clarity, the absorption peak has been located at Δν = 0, and we set arctan(αLEF) = 0. At very small absorption levels (Apk << 0.1), the induced nonlinearity of the frequency scale is negligible and, according to Eq. (4), T'd) is proportional to Tν). At a small absorption level (Apk = 0.1), the apparent peak absorption Apk' = max(1−T') is still equal to the simulated value Apk. However, the line shape becomes distorted due to the nonlinear frequency shift around the absorption peak [cf. inset of Fig. 3(a)]. In the range of 0.15 < Apk < 0.20, where the peak separation is still rather small, the absorption Apk can also be obtained from Apk' by multiplying Apk' with an absorption-dependent prefactor. For real-time measurements as discussed later, the deviation between Apk and Apk' in that range is negligible as compared to the accuracy of the method. At a larger absorption level (Apk = 0.4), two separate peaks are observed due to the hysteresis of the system. In such a situation, Eq. (8) cannot be easily applied to determine Apk, since the center of the absorption peak is no longer covered by the optical-feedback tuning scheme [cf. Figure 2(a)]. Fortunately, above the onset of hysteresis, thepeak separation dpk-pk as introduced in Fig. 3(a) depends monotonically on Apk. This behavior is exemplarily depicted in Fig. 3(b) for the two gas species used in the experiments. The figure shows the separation dpk-pk as a function of Apk which has been calculated for Doppler-broadened absorption lines at a temperature of 300 K. Above the onset of hysteresis at Apk ≈0.15, the peak separation is a monotonically increasing function of the absorption level. For Apk > 0.9, the peak separation exceeds 2ΔdM, which sets an upper limit for the observable peak absorption. Note that the small difference between D2O and CH3OD in Fig. 3(b) is due to their different Doppler-broadened linewidths.

 figure: Fig. 3

Fig. 3 (a) Calculated self-mixing voltage signal UEOF as a function of Δd/ΔdM for different absorption levels Apk at a moderate feedback level with C0 = 3.0 (αLEF = 0). The inset illustrates the line shape distortion in the apparent absorption due to nonlinearities in the frequency scale. (b) Hysteresis-induced separation dpk-pk of the peak positions as a function of Apk calculated at 300 K (Doppler broadened).

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4. Self-mixing parameters

For the determination of the self-mixing parameters, the QCL is driven at the operating point, and the absorption cell is filled with D2O at a pressure of 20 Pa. The mirror position is modulated with a frequency of 50 Hz. In this way, the external cavity length is varied via the mirror displacement by

Δd=Dmsin(ϕm)+dshift,
with Dm denoting the maximum mirror displacement of 16 µm. ϕm = 2πνmt is the mirror oscillation phase with νm labeling the mirror modulation frequency and t denoting the time. dshift denotes an offset term for the mirror position.

Figure 4(a) presents the EOF signal as a function of the mirror oscillation phase for two different feedback levels. The red line corresponds to the maximum level of feedback. Here, the QCL voltage is reduced by up to 3.2 mV and shifted with respect to the unperturbed QCL voltage. This indicates stronger feedback (C > 1). The D2O absorption appears as sharp dips indicated by blue arrows. There are two dips for each oscillation, since the absorption frequency is detected twice, once during the forward motion of the mirror and a second time during the backward motion. The green line in Fig. 4(a) is the result of a simulation of the EOF signal according to Eq. (7) with parameters C0 = 3.1 and αLEF = 0.4. Except for the D2O absorption lines, the agreement is excellent. According to the definition in [23], the feedback parameter is in the intermediate feedback regime (1 < C < 4.6). The black line in Fig. 4(a) is a measurement in the weak feedback regime at C0 = 0.5 [23]. The EOF signal is significantly reduced and oscillates around the unperturbed QCL voltage. The absence of any absorption line is a consequence of the reduced frequency tuning range, which does no longer cover the D2O absorption frequency (Δν < ν0νD2O). This is also illustrated in Fig. 4(b), which presents a simulation of the expected frequency shift due to EOF as a function of the mirror oscillationphase according to Eq. (1). For the intermediate feedback level (red line, C0 = 3.1, αLEF = 0.4, m = −1 mV), the maximum frequency shift amounts to approximately 200 MHz in accordance with Eq. (4). The EOF frequency is tuned two times across νD2O during one modulation period, which is consistent with the two absorption lines observed in the measurement [cf. Figure 4(a)]. At the weak feedback level (black line, C0 = 0.5, αLEF = 0.4, m = −1 mV), the maximum frequency shift is less than 50 MHz, which is not sufficient to sweep across the D2O absorption line.

 figure: Fig. 4

Fig. 4 (a) Measured EOF signal as a function of the mirror oscillation phase for intermediate (red line, C0 = 3.1) and weak feedback (black line, C0 = 0.5). One oscillation period corresponds to an acquisition time of 20 ms with a sampling interval of 20 µs. At the intermediate feedback level, the D2O absorption appears as four sharp dips (indicated by blue arrows) due to forward and backward movement of the mirror. The green line is the result of a simulation of the EOF signal according to Eq. (7) with parameters C0 = 3.1, αLEF = 0.4, and m = −1 mV. (b) Simulation result of the EOF frequency shift as a function of the mirror oscillation phase. At the intermediate feedback level (red line, C0 = 3.1, αLEF = 0.4, m = −1 mV), the EOF induced frequency shift is sufficient to cover the D2O absorption frequency (indicated by the dashed blue line). At the weak feedback level (black line, C0 = 0.5, αLEF = 0.4, m = −1 mV), the frequency shift is not sufficient to sweep across the D2O absorption frequency.

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5. Transmission and line shape at larger absorption levels

Since gas absorption leads to a reduction of the feedback level, the transmission values and the line shape of the self-mixing spectra become affected when displayed as a function of the mirror displacement. Without gas, the frequency shift with respect to ν0 is a linear function of the cavity length [cf. Equation (4)]. In this case, the EOF frequency depends linearly on the mirror displacement with a tuning coefficient of −6.3 MHz/µm. Figure 5(a) shows the EOF signal as a function of the dimensionless displacement Δd/ΔdM obtained at maximum feedback (C0 = 3.1) and for two different values of the D2O pressure. The blue line in Fig. 5(a) shows a forward and backward sweep across the D2O line at a pressure of 2 Pa. The peak absorption appears for both sweeps at almost identical mirror displacement positions dD2OdM. This verifies that the influence of the gas absorption on the EOF frequency is negligible for sufficiently small absorption levels as shown in Fig. 2. In this case, the measured peak absorption Apk'd) according to Eq. (8) represents the simulated peak absorption Apkν). The red line in Fig. 5(a) shows the result of the same measurement at 20 Pa. Here, the D2O absorption lines for the forward and backward motion of the mirror are shifted by a distance of dpk-pkdM ≈0.4 due to hysteresis. The line shape becomes strongly distorted, and Apk' is not equal anymore to the simulated peak transmission value. The measured peak absorption values Apk' of 0.48 (forward direction) and 0.51 (backward direction) obtained via Eq. (8) aresmaller than the simulated value of 0.63. This difference is in good agreement with the theory [cf. Figure 3(b)]. Note that the absorption Apk can be obtained from the measured values Apk' via the peak separation dpk-pkdM as presented in Fig. 3(b).

 figure: Fig. 5

Fig. 5 (a) EOF signal as a function of of Δd/ΔdM during a sweep across the expected position dD2OdM of the D2O transition. For p = 2 Pa (blue line), the results of the forward and backward sweep are almost identical. For p = 20 Pa (red line), the absorption lines of the forward (FW) and backward (BW) sweep are shifted by a distance of dpk-pkdM due to hysteresis, and the observed peak absorption is reduced. (b) EOF transmission spectrum of the D2O absorption line for p = 2 Pa (blue line). The frequency scale corresponds to that of an empty cavity according to Eq. (4). The red line corresponds to a simulation result of the expected transmission spectrum.

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Figure 5(b) presents the EOF transmission spectrum as a function of the EOF-induced frequency shift for the measurement at 2 Pa (blue line). The spectrum has been obtained by averaging the EOF signal of the forward and backward sweep within a single mirror oscillation period and by normalizing it to a reference measurement with an evacuated absorption cell according to Eq. (8). The frequency scale corresponds to that of an empty cavity according to Eq. (4). A simulation of the expected transmission spectrum based on the molecular spectroscopy catalog [20] is also shown in Fig. 5(b) by the red line. The simulated transition frequency of −68 MHz relative to the frequency set by the operating point of the QCL as well as the transmission of 0.88 fit very well to the experimental data. Note that this result is the same as obtained in a direct absorption configuration [Fig. 1(c)]. The full width at half maximum of 13.4 MHz of the calculated line is slightly broader than the observed one. This is due to the nonlinear frequency shift around the absorption peak present at absorption levels Apk ≈0.1 in accordance with the theory [cf. inset of Fig. 3(a)].

We conclude that the peak transmission as well as the transition frequency of different gas concentrations can be determined through EOF, even for strong absorption levels with Apk > 0.1. However, the assignment of a well-defined frequency scale in order to reconstruct the spectral line shape would require a self-consistent solution of Eq. (6) on the basis of the experimental data, since the EOF frequency depends now on the mirror displacement and the gas concentration.

6. Dynamical system with two gas species

In order to demonstrate the real-time potential of THz gas sensing based on EOF, the experiment is repeated with a mixture of two different gases. Initially, the absorption cell is filled with D2O at 40 Pa. Then, a second gas, in our case deuterated methanol CH3OD, is injected into the absorption cell. Every 20 ms, a self-mixing spectrum is recorded, which contains the absorption lines for the forward and the backward sweep of the mirror. This allows for real-time monitoring of the concentration ratio of CH3OD and D2O, which is reflected in the peak absorption for the two species. Figure 6(a) presents the peak absorptionof D2O (blue points) and CH3OD (red points) derived from the EOF signal as a function of time and pressure. The total pressure follows the relation p(t) = p0 + p1 t, where p0 = 40 Pa and p1 = 16 Pa/s. The data points have been obtained according to Eq. (8) and by correcting the measured peak absorption Apk'd) via the peak distance dpk-pk of the forward and backward sweep as described in the previous section. The absorption peaks are evaluated above a level of 0.1 in order to avoid artificial peaks. Three different regions I−III can be distinguished in Fig. 6, which are separated by dashed lines. In region I (0 < t < 2.5 s), the peak absorption Apk of D2O (A) is stronger than the one of CH3OD (B). Here, the absorption of D2O is observed starting from t = 0 with an initial peak absorption of approximately 0.9. The absorption of CH3OD is observable after t = 0.5 s (p ≈50 Pa). From that point on, the ratio of the CH3OD to D2O absorption rapidly changes and is approximately one in region II (2.5 s < t < 5.0 s) with a crossover at t = 4.0 s (p ≈100 Pa). Note that this is consistent with the ratio of the peak absorption of CH3OD and D2O obtained with the Ge:Ga detector [cf. Figure 1(c)]. An exemplary EOF spectrum at the crossover point is also shown [inset in Fig. 6(a)]. In region III (5.0 s < t < 7.5 s), the CH3OD peak absorption is clearly stronger than the one of D2O, which is reduced to 0.1 at t = 7.5 s. Evaluating the standard deviation, we estimate the accuracy to be 10% for the peak absorption, which corresponds to a bandwidth-normalized noise-equivalent absorption of 6.3 × 10−4 Hz−1/2.

 figure: Fig. 6

Fig. 6 (a) Peak absorption for D2O (blue points, A) and CH3OD (red points, B) as a function of time and pressure during CH3OD injection into the absorption cell, which is initially filled with D2O at 40 Pa. Each data point corresponds to an absorption spectrum, which has been measured within 10 ms. Three different regions I−III separated by dashed lines can be distinguished, for which the concentration of D2O is larger (I), similar (II), or less than that of CH3OD (III). The inset shows an exemplary spectrum measured in region II at the crossover of the CH3OD and D2O absorption. (b) The same measurement as in (a) obtained in a direct absorption configuration with a Ge:Ga detector.

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In order to compare our real-time sensing scheme with a conventional approach, the experiment is repeated in a direct absorption configuration with a Ge:Ga detector. For this measurement, the wire grid phase is set to 90°, and the mirror is covered with Eccosorb. For frequency tuning, the QCL current is tuned to 3 mA above the operating point. This corresponds to a frequency tuning of 102 MHz. Figure 6(b) presents the result of this experiment. Here, the same behavior of the ratio of the CH3OD to D2O absorption within regions I−III as depicted in Fig. 6(a) can be observed. Again, an exemplary transmission spectrum measured at the crossover point in region II (2.5 s < t < 5.0 s) at t = 4.0 s (p ≈100 Pa) is shown [cf. inset in Fig. 6(b)]. The frequency scale has been derived from the linear dependence on current and frequency with respect to the tuning coefficient [cf. Figure 1(c)]. Due to a better signal-to-noise ratio, the accuracy obtained with the Ge:Ga detector amounts to 4% for the peak absorption values, which corresponds to a bandwidth-normalized noise-equivalent absorption of 2.5 × 10−4 Hz−1/2. Nevertheless, a comparison between Figs. 6(a) and 6(b) reveals that the ratio of the peak absorption of CH3OD and D2O can be precisely obtained from the EOF signal without any additional detector and in agreement with calculation results as discussed in section 3. Improvements of the signal-to-noise ratio are expected by a further reduction of the noise floor through synchronization of the acquisition hardware with the mechanical vibrations of the cryocooler.

While the ratio of the peak absorption of CH3OD and D2O is consistent with the expected change of the concentration ratio, the reduction of the absolute absorption level after injection of the second species in Figs. 6(a) and 6(b) requires a different explanation. Since the absorption signal is significantly reduced already from the beginning of the experiment at t = 0 and p = 40 Pa, pressure broadening effects can be excluded as a possible reason. Indeed, the balance between adsorption and desorption processes at the glass cylinder might play a role here as well as the formation of hydrogen bonded complexes [24–26]. A detailed study of this effect is beyond the scope of this paper and will be the subject of future investigations.

7. Summary and conclusion

We have developed a THz gas sensor which exploits the self-mixing effect for real-time sensing of different gas species at THz frequencies. Our method exploits the intermediate feedback regime and is based on a variation of the cavity geometry, i.e. it does not require any variation of the operating parameters of the source. As compared to previous experiments based on weak optical feedback [15], the sensitivity is drastically increased and now allows for real-time observation of the concentration of different gas species. This has been demonstrated for mixing of D2O and CH3OD in an absorption cell.

The system proves the feasibility of real-time gas sensing via the self-mixing effect in a THz QCL and combines the advantages of being intrinsically fast and highly sensitive without requiring any liquid-helium-cooled detectors. Higher acquisition rates are feasible by operating the QCL in a low-vibration system such as a flow cryostat and by optimizing the acquisition hardware. Further improvements toward high-temperature operation are expected for THz QCLs based on metal-metal waveguides. In the future, such an optical-feedback spectrometer might be used for in situ observations of chemical reactions at THz frequencies.

Funding

Deutsche Forschungsgemeinschaft (DFG) (HU848/5-1).

Acknowledgments

T. H. acknowledges the support by the Helmholtz Research School on Security Technologies.

References and links

1. M. Tonouchi, “Cutting-edge terahertz technology,” Nat. Photonics 1, 97–105 (2007).

2. P. U. Jepsen, D. G. Cooke, and M. Koch, “Terahertz spectroscopy and imaging – Modern techniques and applications,” Laser Photonics Rev. 5, 124–166 (2011).

3. L. Ho, M. Pepper, and P. Taday, “Terahertz spectroscopy: Signatures and fingerprints,” Nat. Photonics 2, 541–543 (2008).

4. P. C. Ashworth, E. Pickwell-MacPherson, E. Provenzano, S. E. Pinder, A. D. Purushotham, M. Pepper, and V. P. Wallace, “Terahertz pulsed spectroscopy of freshly excised human breast cancer,” Opt. Express 17(15), 12444–12454 (2009). [PubMed]  

5. A. G. Davies, A. D. Burnett, W. Fan, E. H. Linfield, and J. E. Cunningham, “Terahertz spectroscopy of explosives and drugs,” Mater. Today 11(8), 18–26 (2008).

6. L. Rezac, P. Hartogh, R. Güsten, H. Wiesemeyer, H.-W. Hübers, C. Jarchow, H. Richter, B. Klein, and N. Honingh, “First detection of the 63 µm atomic oxygen line in the thermosphere of Mars with GREAT/SOFIA,” Astron. Astrophys. 580, L10 (2015).

7. J. B. Baxter and G. W. Guglietta, “Terahertz Spectroscopy,” Anal. Chem. 83(12), 4342–4368 (2011). [PubMed]  

8. H.-W. Hübers, S. G. Pavlov, H. Richter, A. D. Semenov, L. Mahler, A. Tredicucci, H. E. Beere, and D. A. Ritchie, “High-resolution gas phase spectroscopy with a distributed feedback terahertz quantum cascade laser,” Appl. Phys. Lett. 89, 061115 (2006).

9. S. Bartalini, L. Consolino, P. Cancio, P. De Natale, P. Bartolini, A. Taschin, M. De Pas, H. Beere, D. Ritchie, M. S. Vitiello, and R. Torre, “Frequency-Comb-Assisted Terahertz Quantum Cascade Laser Spectroscopy,” Phys. Rev. X 4, 021006 (2014).

10. Y. L. Lim, P. Dean, M. Nikolić, R. Kliese, S. P. Khanna, M. Lachab, A. Valavanis, D. Indjin, Z. Ikonić, P. Harrison, E. H. Linfield, A. G. Davies, S. J. Wilson, and A. D. Rakić, “Demonstration of a self-mixing displacement sensor based on terahertz quantum cascade lasers,” Appl. Phys. Lett. 99, 081108 (2011).

11. P. Dean, Y. L. Lim, A. Valavanis, R. Kliese, M. Nikolić, S. P. Khanna, M. Lachab, D. Indjin, Z. Ikonić, P. Harrison, A. D. Rakić, E. H. Linfield, and A. G. Davies, “Terahertz imaging through self-mixing in a quantum cascade laser,” Opt. Lett. 36(13), 2587–2589 (2011). [PubMed]  

12. A. D. Rakić, T. Taimre, K. Bertling, Y. L. Lim, P. Dean, D. Indjin, Z. Ikonić, P. Harrison, A. Valavanis, S. P. Khanna, M. Lachab, S. J. Wilson, E. H. Linfield, and A. G. Davies, “Swept-frequency feedback interferometry using terahertz frequency QCLs: a method for imaging and materials analysis,” Opt. Express 21(19), 22194–22205 (2013). [PubMed]  

13. Y. Ren, R. Wallis, D. S. Jessop, R. Degl’Innocenti, A. Klimont, H. E. Beere, and D. A. Ritchie, “Fast terahertz imaging using a quantum cascade amplifier,” Appl. Phys. Lett. 107, 011107 (2015).

14. M. Wienold, T. Hagelschuer, N. Rothbart, L. Schrottke, K. Biermann, H. T. Grahn, and H.-W. Hübers, “Real-time terahertz imaging through self-mixing in a quantum-cascade laser,” Appl. Phys. Lett. 109, 011102 (2016).

15. T. Hagelschuer, M. Wienold, H. Richter, L. Schrottke, K. Biermann, H. T. Grahn, and H.-W. Hübers, “Terahertz gas spectroscopy through self-mixing in a quantum-cascade laser,” Appl. Phys. Lett. 109, 191101 (2016).

16. D. R. Bacon, J. R. Freeman, R. A. Mohandas, L. Li, E. H. Linfield, A. G. Davies, and P. Dean, “Gain recovery time in a terahertz quantum cascade laser,” Appl. Phys. Lett. 108, 081104 (2016).

17. X. Qi, G. Agnew, I. Kundu, T. Taimre, Y. L. Lim, K. Bertling, P. Dean, A. Grier, A. Valavanis, E. H. Linfield, A. Giles Davies, D. Indjin, and A. D. Rakić, “Multi-spectral terahertz sensing: proposal for a coupled-cavity quantum cascade laser based optical feedback interferometer,” Opt. Express 25(9), 10153–10165 (2017). [PubMed]  

18. L. Schrottke, M. Wienold, R. Sharma, X. Lü, K. Biermann, R. Hey, A. Tahraoui, H. Richter, H.-W. Hübers, and H. T. Grahn, “Quantum-cascade lasers as local oscillators for heterodyne spectrometers in the spectral range around 4.745 THz,” Semicond. Sci. Technol. 28, 035011 (2013).

19. H. Richter, M. Greiner-Bär, S. G. Pavlov, A. D. Semenov, M. Wienold, L. Schrottke, M. Giehler, R. Hey, H. T. Grahn, and H.-W. Hübers, “A compact, continuous-wave terahertz source based on a quantum-cascade laser and a miniature cryocooler,” Opt. Express 18(10), 10177–10187 (2010). [PubMed]  

20. H. M. Pickett, R. L. Poynter, E. A. Cohen, M. L. Delitsky, J. C. Pearson, and H. S. P. Müller, “Submillimeter, millimeter, and microwave spectral line catalog,” J. Quant. Spectrosc. Radiat. Transf. 60, 883–890 (1998).

21. T. Hagelschuer, N. Rothbart, H. Richter, M. Wienold, L. Schrottke, H. T. Grahn, and H.-W. Hübers, “High-spectral-resolution terahertz imaging with a quantum-cascade laser,” Opt. Express 24(13), 13839–13849 (2016). [PubMed]  

22. R. Lang and K. Kobayashi, “External Optical Feedback Effects on Semiconductor Injection Laser Properties,” IEEE J. Quantum Electron. 16, 347–355 (1980).

23. G. Giuliani, M. Norgia, S. Donati, and T. Bosch, “Laser diode self-mixing technique for sensing applications,” J. Opt. A, Pure Appl. Opt. 4, S283–S294 (2002).

24. L. A. Curtiss and M. Blander, “Thermodynamic Properties of Gas-Phase Hydrogen-Bonded Complexes,” Chem. Rev. 88, 827–841 (1988).

25. S. Dixit, J. Crain, W. C. K. Poon, J. L. Finney, and A. K. Soper, “Molecular segregation observed in a concentrated alcohol-water solution,” Nature 416(6883), 829–832 (2002). [PubMed]  

26. J.-H. Guo, Y. Luo, A. Augustsson, S. Kashtanov, J.-E. Rubensson, D. K. Shuh, H. Ågren, and J. Nordgren, “Molecular Structure of Alcohol-Water Mixtures,” Phys. Rev. Lett. 91(15), 157401 (2003). [PubMed]  

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Figures (6)

Fig. 1
Fig. 1 (a) Scheme of the experimental setup used for real-time gas sensing based on EOF. THz radiation is emitted by a QCL and focused onto a plane mirror mounted on a voice coil, which induces the self-mixing effect. The optical path consists of an absorption cell filled with D2O or CH3OD or a mixture of both species and a rotating wire grid. By changing the wire grid angle, the absorption signal can be directly measured with a Ge:Ga detector. (TMP: turbo molecular pump). (b) Transmission through the wire grid as a function of the wire grid angle δ for the EOF signal and the signal measured with the Ge:Ga detector. The transmission can be described with cosine functions with different phases as indicated by the red and blue lines. (c) Transmission spectrum of D2O (blue line) and CH3OD (red line) measured with the Ge:Ga detector at a pressure of 100 Pa. The frequency scale has been derived from the linear frequency-current characteristic and refers to the QCL operating point used for self-mixing.
Fig. 2
Fig. 2 (a) Calculated frequency shift Δν as a function of the normalized mirror displacement Δd/ΔdM for different feedback levels C0 as indicated for an evacuated absorption cell, i.e. Apk = 0. The solid lines refer to calculation results using Eq. (4), while the dashed lines refer to the exact solution of Eq. (1). The parameters are ds = 56 cm and ν0 = 4.745 THz. (b) Calculated values of Δν as a function of Δd/ΔdM evaluated using Eq. (6) for different absorption levels Apk of D2O as indicated at 300 K (Doppler broadened). The hysteresis at larger absorption levels is related to the forward and backward motion of the mirror.
Fig. 3
Fig. 3 (a) Calculated self-mixing voltage signal UEOF as a function of Δd/ΔdM for different absorption levels Apk at a moderate feedback level with C0 = 3.0 (αLEF = 0). The inset illustrates the line shape distortion in the apparent absorption due to nonlinearities in the frequency scale. (b) Hysteresis-induced separation dpk-pk of the peak positions as a function of Apk calculated at 300 K (Doppler broadened).
Fig. 4
Fig. 4 (a) Measured EOF signal as a function of the mirror oscillation phase for intermediate (red line, C0 = 3.1) and weak feedback (black line, C0 = 0.5). One oscillation period corresponds to an acquisition time of 20 ms with a sampling interval of 20 µs. At the intermediate feedback level, the D2O absorption appears as four sharp dips (indicated by blue arrows) due to forward and backward movement of the mirror. The green line is the result of a simulation of the EOF signal according to Eq. (7) with parameters C0 = 3.1, αLEF = 0.4, and m = −1 mV. (b) Simulation result of the EOF frequency shift as a function of the mirror oscillation phase. At the intermediate feedback level (red line, C0 = 3.1, αLEF = 0.4, m = −1 mV), the EOF induced frequency shift is sufficient to cover the D2O absorption frequency (indicated by the dashed blue line). At the weak feedback level (black line, C0 = 0.5, αLEF = 0.4, m = −1 mV), the frequency shift is not sufficient to sweep across the D2O absorption frequency.
Fig. 5
Fig. 5 (a) EOF signal as a function of of Δd/ΔdM during a sweep across the expected position dD2OdM of the D2O transition. For p = 2 Pa (blue line), the results of the forward and backward sweep are almost identical. For p = 20 Pa (red line), the absorption lines of the forward (FW) and backward (BW) sweep are shifted by a distance of dpk-pkdM due to hysteresis, and the observed peak absorption is reduced. (b) EOF transmission spectrum of the D2O absorption line for p = 2 Pa (blue line). The frequency scale corresponds to that of an empty cavity according to Eq. (4). The red line corresponds to a simulation result of the expected transmission spectrum.
Fig. 6
Fig. 6 (a) Peak absorption for D2O (blue points, A) and CH3OD (red points, B) as a function of time and pressure during CH3OD injection into the absorption cell, which is initially filled with D2O at 40 Pa. Each data point corresponds to an absorption spectrum, which has been measured within 10 ms. Three different regions I−III separated by dashed lines can be distinguished, for which the concentration of D2O is larger (I), similar (II), or less than that of CH3OD (III). The inset shows an exemplary spectrum measured in region II at the crossover of the CH3OD and D2O absorption. (b) The same measurement as in (a) obtained in a direct absorption configuration with a Ge:Ga detector.

Equations (9)

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Δϕ= C 0 sin[Δϕ ϕ 0 +arctan( α LEF )].
arctan( α LEF ) ϕ s =2πN,
|Δd| < 1+ C 0 4π ν 0 c 1 Δ d M ,
Δν= ν 0 C 0 1+ C 0 Δd d .
C=T C 0 = e αL C 0 ,
Δϕ= C 1+C ( ϕ 0 ϕ s ).
U EOF =mCcos(ϕ)=mT C 0 cos[ arctan( α LEF )+ 1+ C 0 1+T C 0 Δd Δ d M ],
T= U EOF (gas) U EOF (ref) .
Δd= D m sin( ϕ m )+ d shift ,
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