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Ultrasensitive sensing in air based on Sagnac interferometer working at group birefringence turning point

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Abstract

In this paper, a gas refractometer based on microfiber Sagnac interferometer is demonstrated, which can achieve an ultrahigh sensitivity when operating at the group birefringence turning point. We undertake a theoretical analysis and a simulated calculation to study the device characteristics and obtain the specific parameters of ellipticity and long axis of the elliptic microfiber for the group birefringence turning point. In the experiment, we obtain a positive sensitivity of 0.295 nm/KPa and a negative sensitivity of −0.219 nm/KPa during gas pressure and refractive index (RI) sensing, the obtained highest RI sensitivity can reach 160,938.9 nm/RIU. To further reveal its practical potential in gas detection, we conduct CO2 gas concentration detection and the device also demonstrates ultrahigh sensitivity and good repeatability. Besides, temperature sensing is performed to explore its temperature response wherein it shows a sensitivity of 486.7 pm/ °C. These results show its potential for use in gas- and acoustic-sensing applications.

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

1. Introduction

Gas detection using high-sensitivity sensors is mandatory in many fields such as environmental monitoring, chemical processing, energy supervision, and medical testing, which is done with the aim of controlling environmental pollution, production safety, public health, and so on. In this regard, as safe and reliable sensors, optical fiber gas sensors demonstrate great potential in practical applications, thereby attracting considerable interest among researchers. In the past, various optical fiber sensors based on fiber Bragg gratings [13], long-period gratings [46], photonic crystal fibers [79], and interferometers [1012] have been reported and they all revealed different peculiarities in sensing. But it still has a problem that they leave much to be desired when used for gas detection. That is because gas detection with an external refractive index of around ∼1.0 using optical fiber sensors should overcome the mismatch between the allowable guided mode and the external gaseous medium. It leads to the optical fiber sensor performance, which mostly determined by the sensitivity, is hard to be satisfactory by the conventional devices. Being confined to their low sensitivity, which is mostly just several thousands of nanometers per refractive index unit (RIU) or even lower, detecting the tiny variations of the gas environment in sensing is difficult. Thus, designing an optical fiber sensor that has a high sensitivity in a gaseous medium is challenging. In nowadays, a useful and prevailing measure is the coating method. Researchers came up with this that we can use the coating as an intermediate to indirectly magnify the influence on the sensors induced by the tiny variations of the gas environment. In this manner, one can take complete advantage of different coating materials and make the sensors more flexible. Traditionally, palladium coating is commonly used to improve the performance of optical fiber sensors in H2 sensing, as the palladium coating expands considerably after absorbing H2 [13,14]. Moreover, several organic or inorganic materials such as metal–organic frameworks (MOFs) [1517], graphene [18,19], and zinc oxide [2022] also can be used as coating on optical fiber sensors. The sensitivity of the sensors will have different degrees of enhancement after coating, and some of these materials can even make the sensors be selective to specific gas. For instance, an optical fiber sensor coated with ZIF-8 shows high sensitivity and selectivity to CO2 gas relative to other small gases (H2, N2, O2, and CO) [23]. However, it is important to note that the structural design of sensors still directly influences sensitivity in gas detection.

From the viewpoint of sensor structural design, many realized measures have successfully achieved high sensitivity; these include optical fiber spectral combs [24], fiber-optic acoustic sensors [25], among others. In addition to these measures, there is a method that can significantly improve the sensitivity, which is by means of the dispersion turning point. It is a critical point that can be observed in microfiber modal interferometers [2628], long-period grating [29], highly birefringent microfiber-based Sagnac interferometers [30,31] and microfiber couplers [32,33]. These sensors working at the turning point would have ultrahigh sensitivity and some special characteristics, compared to that without the turning point. Most of these sensors have already been studied or experimentally applied in sensing. For example, recent research demonstrated that an ultrasensitive gas RI sensor based on optical nanofiber couplers can achieve an RI sensitivity of 46,470 nm/RIU [34]. Previously, a reported highly birefringent (HiBi) elliptic microfibers demonstrated an RI sensitivity of ∼195,348 nm/RIU around RI = 1.35887 [35]. However, the practical application of this highly birefringent microfiber based Sagnac interferometer operating at the turning point in a gaseous medium (RI ∼1.0) remains unexplored, as the requirements for the sensor to work well in a gaseous medium are quite demanding.

In the subsequent sections, we focus on the elliptic microfiber based Sagnac interferometer operating at the group birefringence turning point and apply it in a gaseous medium. Through theoretical analysis and simulated calculation, we obtain the specific parameters of the elliptic microfiber for the group birefringence turning point. With these specific parameters, the elliptic microfiber will have high birefringence and its group birefringence is close to zero at the working wavelength, indicating that it would have high sensitivity. Practical application in a gaseous medium such as relative pressure detection and CO2 concentration detection is done to verify the theory as well as the technical feasibility. Furthermore, the temperature response is discussed for a deeper understanding of this device.

2. Configuration, theory, and simulation

Figure 1 shows the schematic configuration of the proposed elliptic microfiber; it contains two transition regions and a uniform waist region with an elliptic cross-section. The method of fabricating elliptic microfibers has already been studied in a previous report [35]. At first, we produce the preprocessed optical fibers with an elliptic cross-section through laser cutting. A standard single-mode fiber (Corning G.652.D) is exposed to a CO2 laser (C-50W) on two opposite sides in turn, with a machining length of 5 mm. Then, we taper the preprocessed optical fibers via the flame brushing technique, and we finally get the elliptic microfibers. When light passes through the elliptic microfiber, owing to its non-circular-symmetrical cross-section, two orthogonal polarization fundamental modes that have a smaller or a larger effective refractive index (ERI) occur. The electric field distribution of these two orthogonal polarization fundamental modes are illustrated in Fig. 1. Compared to the first one, the second one has a larger evanescent field. We splice the elliptic microfiber in a Sagnac loop that has a polarization controller in it to form the elliptic microfiber based Sagnac interferometer. Light from the broadband light source (Golight) pass the 3-dB coupler and is split into two counter propagating beams in the Sagnac loop. Furthermore, the elliptic microfiber produces two orthogonal polarization fundamental modes with different ERIs, and there is a phase difference between them, which would generate interference after recombination of the two beams via the 3-dB coupler again. The phase difference can be expressed as φ=2πBL/λ, where L is the effective interaction length of the elliptic microfiber, birefringence B represents the ERI difference between the two orthogonal polarization fundamental modes, and λ denotes the wavelength. Through derivation, we can obtain the RI sensitivity

$${S_n} = {{\textrm{d}\lambda } \mathord{\left/ {\vphantom {{\textrm{d}\lambda } {\textrm{dn}}}} \right.} {\textrm{dn}}} = \frac{\lambda}{B-\lambda \cdot \partial B / \partial \lambda} \frac{\partial B}{\partial n} = \frac{\lambda }{\textrm{G}}\frac{{\partial \textrm{B}}}{{\partial \textrm{n}}}$$
where G = B-λ·(∂B/∂λ) represents the group birefringence of the elliptic microfiber. Equation (1) suggests that the RI sensitivity Sn depends on these factors: wavelength λ, external RI-induced birefringence variation ∂B/∂n, and the group birefringence G. When the group birefringence G close to zero, the RI sensitivity will be greatly enhanced, which means the group birefringence turning point. As this is related to the ellipticity and diameter of the elliptic microfiber, the group birefringence turning point can be achieved by controlling these two parameters.

 figure: Fig. 1.

Fig. 1. The schematic of elliptic microfiber and electric field distribution of the two orthogonal polarization fundamental modes.

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Hence, we undertake a simulated calculation to obtain the specific parameters and study its sensing characteristics. We define a as the long axis length and ellipticity e as the ratio of the short axis to the long axis. The simulated result shows that the elliptic microfiber has a birefringence of 10−2 and the group birefringence G will increase from negative to positive with an increase in wavelength, which means that the value of G will pass through zero, indicating the group birefringence turning point. Through data processing, the RI sensitivity can be obtained using the value of B and G. Figure 2(a) plots the RI sensitivity of the elliptic microfibers with e = 0.5 and different values of a. It has │Sn│→∞ when approaching the turning point, and the Sn is positive at shorter wavelengths and negative at longer wavelengths. This is because the birefringence B decreases with an increase in the external RI and the group birefringence G is negative to the left side of the turning point and positive to the right side. Within ± 30 nm of the turning point, the RI sensitivity increases fast and is calculated to be over 5×104 nm/RIU. This high sensitivity will decrease rapidly as the wavelength drifts away from the turning point. However, the region with │Sn│ > 104 nm/RIU still has a range of approximately ± 200 nm around the turning point. Beyond that, with a decrease in a, the turning point will move to a shorter wavelength. Figure 2(b) shows the simulated data of a and e when the turning point occurs at 1550 nm (a from 1.4 µm to 1.9 µm and e from 0.4 to 0.6). We can use these parameters to control the position of the turning point. Figure 2(c) illustrates the simulated transmission spectra of the elliptic microfiber with e = 0.5, a = 1.66 µm, and L = 3 mm, as the external refractive index changes from 1 (in vacuum) to 1.00027330 (in air), which can be seen from the device’s response across different relative pressures. We also observe that the free spectral range (FSR) will be larger when the wavelength is closer to the turning point. Moreover, with the external RI increasing, the dips come toward the turning point, as shown in Fig. 2(d). The calculated average RI sensitivity can reach 104,281 nm/RIU at λ∼1530 nm and −107,940 nm/RIU at λ∼1570 nm.

 figure: Fig. 2.

Fig. 2. (a) The RI sensitivity of the elliptic microfibers with e∼0.5 and different diameters. (b) The simulated data of a and e when the turning point occurs at the wavelength 1550nm. (c) The simulated transmission spectra as the external refractive index changes from 1 to 1.00027330 (e = 0.5, a = 1.66µm, L = 3mm). (d) The wavelengths shift of peak A and peak B.

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3. Experiments and discussions

According to the simulated result, we conducted experiments to verify the theory mentioned above. Several preprocessed single-mode fibers with ellipticity e∼0.5 are fabricated via laser cutting. And we splice the preprocessed single-mode fiber into the Sagnac loop. We then taper the preprocessed fibers by the flame brushing technique. Meanwhile, real-time transmission spectra are observed by the optical spectrum analyzer (OSA, Yokogawa AQ6370D). When the desirable group birefringence turning point occurs, we stop tapering. With the help of the electronic control system [13], we can fabricate the elliptic microfiber with good reproducibility. Finally, we obtain elliptic microfibers whose group birefringence turning point wavelength is at ∼1551 nm (with a∼1.57 µm and L∼3 mm, its spectrum is shown in Fig. 3(b)), ∼1510 nm (with a∼1.53 µm and L∼4.4 mm, its spectrum is shown in Fig. 4(b)), and so on. To get its RI sensitivity, we first perform a relative pressure sensing experiment. The equipment we used in this detection is shown in Fig. 3(a). An elliptic microfiber that has a group birefringence turning point wavelength at 1551 nm is put in a vacuum chamber at room temperature (∼20°C). First, we use a vacuum pump to suction out the air and make the negative gauge pressure in the vacuum chamber to be −80 KPa. The negative gauge pressure can be observed using a barometer in the vacuum chamber. Then, via a switchable air hole, let the air get into the vacuum chamber to achieve different vacuum degrees and record the spectra simultaneously. Figure 3(b) plots the transmission spectra for different relative pressures. With an increase in negative gauge pressure, the dips move toward the turning point, standing for negative or positive sensitivity at the two sides of the turning point. Further, the FSR reduces as the wavelength gets away from the turning point. Figure 3(c) illustrates the dips wavelength shift of peak A and peak B as a function of negative gauge pressure. Peak A shifts 23.6 nm and Peak B shifts −17.52 nm in total as the negative gauge pressure changes from −80 KPa to 0 KPa. The measured average sensitivity is 0.295 nm/KPa at ∼1518 nm and −0.219 nm/KPa at ∼1587 nm. As the external air refractive index is related to the atmospheric pressure [36], it can be express as

$$n = 1 + ({{n_s} - 1} )\frac{p}{{{p_S}}}\frac{{{T_S}}}{T}$$
where ns=1.00027326, ps=101,325 Pa and Ts=288.15 K (for standard dry air with 450-ppm CO2 and λ=1.55 µm, neglecting the dispersion of air), we can get its RI sensitivity, as shown in Fig. 3(d). The obtained highest RI sensitivity is 160,938.9 nm/RIU at ∼1530 nm, showing an ultrasensitive peculiarity. The RI sensitivity decreases obviously as the dip moves away from the turning point. But at 1323 nm, it still has an RI sensitivity of 11,166.1 nm/RIU, signifying that its high-sensitivity feature exists across a wide wavelength range. It provides wealthy choices of working wavelength in practical application. The experiment result is in line with the simulated results, and the behaviors and characteristics it exhibits correspond to the theoretical analysis mentioned above. It approves the correctness of the theoretical analysis and the reliability of this device. Moreover, the ultrahigh RI sensitivity of this sensor means that it can have a great performance in RI sensing under a gaseous medium.

 figure: Fig. 3.

Fig. 3. (a) The schematic of detection equipment in gas pressure and RI sensing. (b) The transmission spectra in different relative pressure. (c) The dip wavelengths shift as the function of negative gauge pressure. (d) The RI sensitivity as the function of wavelength.

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 figure: Fig. 4.

Fig. 4. (a) Schematic of the detection system. (b) Transmission spectra in different CO2 concentrations. (c) Dip wavelength shift as the CO2 concentration detection experiment continues. (d) Dip wavelength shift as a function of CO2 concentration. (e) The RI sensitivity as the function of wavelength. (f) The wavelengths shift in the test of repeatability (with an elliptic microfiber having a group birefringence turning point at ∼1470 nm).

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To demonstrate its practical applications in gas sensing, we apply this device to have a CO2 concentration detection, which is necessary for breath detection, environmental monitor and industrial production and storage [37]. Figure 4(a) plots the schematic of the detection system. The elliptic microfiber is put in a gas chamber that has a gas outlet and two gas inlets. We delivered CO2 gas and N2 gas through the two gas inlets and they are mixed in the gas chamber. By controlling the flow rate of the CO2 gas and the N2 gas through the flow control mechanisms, we can obtain different CO2 concentrations in the gas chamber. The CO2 concentration is changed per 500 s, and the spectra are recorded per 10 s by the OSA. Figure 4(b) illustrates the spectra for different CO2 concentrations with an elliptic microfiber having a turning point wavelength at 1510 nm. Compared to the elliptic microfiber used in gas pressure and RI sensing, the FSR of this elliptic microfiber is narrower. That is because this elliptic microfiber has a longer effective interaction length, which can be controlled in the tapering process. Figure 4(c) shows the dip wavelength shift throughout the experiment. When the CO2 concentration is changed, it appears a hopping and then becomes steady quickly, revealing good stability. The dips near the turning point shift more than the dips farther away, as shown in Fig. 4(d). Its sensitivity can reach 0.1544 nm/% CO2 at ∼1490 nm and −0.1272 nm/% CO2 at ∼1530 nm. And the wavelength fluctuation of this sensor is measured to be 0.06 nm, standing for a limit of detection of ∼0.3886% (3886ppm) CO2. Considering the RI of pure CO2 gas is ∼1.00043837 and pure N2 gas is ∼1.00027907, we can get its RI sensitivity to be as high as 107,125.5 nm/RIU at ∼1490 nm, as shown in Fig. 4(e). As for other gases such as HCl/N2, N2O/N2, NH3/N2 [38], the maximum refractive index change is ∼2.2×10−4 and it produces a wavelength shift of about 35.4 nm, but it still in the dynamic range of the sensor. Simultaneously, the sensor may combine with the coating method [23] or photothermal spectroscopy [8] to make it selective.

Figure 4(f) plots the wavelength shift as we delivered only CO2 gas or N2 gas to the gas chamber repeatedly, with an elliptic microfiber having a turning point wavelength at 1470 nm. The dip shifts 9.4 nm at ∼1442 nm and −9 nm at ∼1498 nm in total as the gas in the gas chamber changes from N2 to CO2. Each time, the dip wavelengths are observed to be similar in CO2 (N2), demonstrating good repeatability. From the figure, we can observe that the dip wavelength need ∼10 s to be steady. However, this is not the real response time of this sensor. It mostly denotes the stabilization time of the gas in the gas chamber, which is determined by the mixing speed of the gas.

In some situations, temperature is an undesirable interference factor that exists during detection. As thermal-expansion and thermo-optic effects exist in optical fibers, when the temperature changes, these will also influence the sensor. Thus, we place an elliptic microfiber that has a turning point wavelength at 1551 nm in a resistance furnace to survey its temperature response. Figure 5(a) plots the transmission spectra for temperature range of 30 °C to 90 °C, rising in intervals of 10 °C. As the temperature changes, the behavior of the sensor is similar to that in RI sensing. The dips drift away from the turning point when the temperature rises. Hence, the temperature sensitivity is negative to the left side of the turning point and positive to the right side. Figure 5(b) illustrates the dips wavelength shift. In the measurement, the temperature sensitivity can reach 486.7 pm/ °C at 1590 nm. And its temperature sensitivity also will reduce quickly as the wavelength shifts away from the turning point. The sensitivity can be range from −48 pm/ °C to 760 pm/ °C as the wavelength changes. We also calculate the temperature cross-sensitivity, which is a small value of around 3×10−6 RIU/ °C and it is various at different wavelength. We should select an appropriate working wavelength base on its temperature cross-sensitivity value to balance the influence of temperature.

 figure: Fig. 5.

Fig. 5. (a) Transmission spectra for the temperature range of 30 °C to 90 °C. (b) Dip wavelength shift as a function of temperature.

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4. Conclusion

We study an ultrasensitive elliptic microfiber based Sagnac interferometer operating at group birefringence turning point using in a gaseous medium. Through theoretical analysis and simulated calculation, we discuss its characteristics with the same ellipticity and different long axis, knowing that it can perform an ultrahigh sensitivity. In the experiment, we achieve an RI sensitivity of 160938.9 nm/RIU in relative pressure detection and 107,125.5 nm/RIU in CO2 gas concentration sensing. These results show its potential for use in acoustic sensing and biochemical detection.

Funding

National Natural Science Foundation of China (61575083, U1701268, 61705083).

References

1. K. O. Hill and G. Meltz, “Fiber Bragg grating technology fundamentals and overview,” J. Lightwave Technol. 15(8), 1263–1276 (1997). [CrossRef]  

2. L. Xu, N. Liu, J. Ge, X. Wang, and M. P. Fok, “Stretchable fiber-Bragg-grating-based sensor,” Opt. Lett. 43(11), 2503–2506 (2018). [CrossRef]  

3. Y. Ran, Y.-N. Tan, L.-P. Sun, S. Gao, J. Li, L. Jin, and B.-O. Guan, “193 nm excimer laser inscribed Bragg gratings in microfibers for refractive index sensing,” Opt. Express 19(19), 18577–18583 (2011). [CrossRef]  

4. S. W. James and R. P. Tatam, “Optical fibre long-period grating sensors: characteristics and application,” Meas. Sci. Technol. 14(5), R49–R61 (2003). [CrossRef]  

5. V. Bhatia and A. M. Vengsarkar, “Optical fiber long-period grating sensors,” Opt. Lett. 21(9), 692–694 (1996). [CrossRef]  

6. H. Xuan, W. Jin, and M. Zhang, “CO2 laser induced long period gratings in optical microfibers,” Opt. Express 17(24), 21882–21890 (2009). [CrossRef]  

7. O. Frazao, J. L. Santos, F. M. Araujo, and L. A. Ferreira, “Optical sensing with photonic crystal fibers,” Laser Photonics Rev. 2(6), 449–459 (2008). [CrossRef]  

8. W. Jin, Y. Cao, F. Yang, and H. L. Ho, “Ultra-sensitive all-fibre photothermal spectroscopy with large dynamic range,” Nat. Commun. 6(1), 6767 (2015). [CrossRef]  

9. X. Y. Dong, H. Y. Tam, and P. Shum, “Temperature-insensitive strain sensor with polarization-maintaining photonic crystal fiber based Sagnac interferometer,” Appl. Phys. Lett. 90(15), 151113 (2007). [CrossRef]  

10. B. H. Lee, Y. H. Kim, K. S. Park, J. B. Eom, M. J. Kim, B. S. Rho, and H. Y. Choi, “Interferometric fiber optic sensors,” Sensors 12(3), 2467–2486 (2012). [CrossRef]  

11. Y. J. Rao, “Recent progress in fiber-optic extrinsic Fabry-Perot interferometric sensors,” Opt. Fiber Technol. 12(3), 227–237 (2006). [CrossRef]  

12. G. Salceda-Delgado, D. Monzon-Hernandez, A. Martinez-Rios, G. A. Cardenas-Sevilla, and J. Villatoro, “Optical microfiber mode interferometer for temperature-independent refractometric sensing,” Opt. Lett. 37(11), 1974–1976 (2012). [CrossRef]  

13. Z. Yu, L. Jin, L. Sun, J. Li, Y. Ran, and B.-O. Guan, “Highly sensitive fiber taper interferometric hydrogen sensors,” IEEE Photonics J. 8(1), 1–9 (2016). [CrossRef]  

14. Z. Yu, L. Jin, L. Chen, J. Li, Y. Ran, and B.-O. Guan, “Microfiber Bragg grating hydrogen sensors,” IEEE Photonics Technol. Lett. 27(24), 2575–2578 (2015). [CrossRef]  

15. J. Hromadka, B. Tokay, R. Correia, S. P. Morgan, and S. Korposh, “Highly sensitive ethanol vapour measurements using a fibre optic sensor coated with metal organic framework ZIF-8,” in 2017 IEEE SENSORS, 1–3 (2017). [CrossRef]  

16. J. Hromadka, B. Tokay, S. James, R. P. Tatam, and S. Korposh, “Optical fibre long period grating gas sensor modified with metal organic framework thin films,” Sens. Actuators, B 221, 891–899 (2015). [CrossRef]  

17. E.-X. Chen, H. Yang, and J. Zhang, “Zeolitic imidazolate framework as formaldehyde gas sensor,” Inorg. Chem. 53(11), 5411–5413 (2014). [CrossRef]  

18. Y. Wu, B. Yao, A. Zhang, Y. Rao, Z. Wang, Y. Cheng, Y. Gong, W. Zhang, Y. Chen, and K. S. Chiang, “Graphene-coated microfiber Bragg grating for high-sensitivity gas sensing,” Opt. Lett. 39(5), 1235–1237 (2014). [CrossRef]  

19. B. Yao, Y. Wu, Y. Cheng, A. Zhang, Y. Gong, Y. J. Rao, Z. Wang, and Y. Chen, “All-optical Mach-Zehnder interferometric NH3 gas sensor based on graphene/microfiber hybrid waveguide,” Sens. Actuators, B 194, 142–148 (2014). [CrossRef]  

20. B. Renganathan, D. Sastikumar, G. Gobi, N. R. Yogamalar, and A. C. Bose, “Gas sensing properties of a clad modified fiber optic sensor with Ce, Li and Al doped nanocrystalline zinc oxides,” Sens. Actuators, B 156(1), 263–270 (2011). [CrossRef]  

21. R. Tabassum, S. K. Mishra, and B. D. Gupta, “Surface plasmon resonance-based fiber optic hydrogen sulphide gas sensor utilizing Cu–ZnO thin films,” Phys. Chem. Chem. Phys. 15(28), 11868–11874 (2013). [CrossRef]  

22. E. I. Karakoleva and A. T. Andreev, “Optical sensing of ammonia using ZnO nanostructure grown on a side-polished optical-fiber,” Sens. Actuators, B 146(1), 331–336 (2010). [CrossRef]  

23. K.-J. Kim, P. Lu, J. T. Culp, and P. R. Ohodnicki, “Metal–organic framework thin film coated optical fiber sensors: a novel waveguide-based chemical sensing platform,” ACS Sens. 3(2), 386–394 (2018). [CrossRef]  

24. C. Caucheteur, T. Guo, F. Liu, B.-O. Guan, and J. Albert, “Ultrasensitive plasmonic sensing in air using optical fibre spectral combs,” Nat. Commun. 7(1), 13371 (2016). [CrossRef]  

25. Z. Gong, K. Chen, Y. Yang, X. Zhou, W. Peng, and Q. Yu, “High-sensitivity fiber-optic acoustic sensor for photoacoustic spectroscopy based traces gas detection,” Sens. Actuators, B 247, 290–295 (2017). [CrossRef]  

26. S. Lacroix, F. Gonthier, R. J. Black, and J. Bures, “Tapered-fiber interferometric wavelength response: The achromatic fringe,” Opt. Lett. 13(5), 395–397 (1988). [CrossRef]  

27. H. Luo, Q. Sun, X. Li, Z. Yan, Y. Li, D. Liu, and L. Zhang, “Refractive index sensitivity characteristics near the dispersion turning point of the multimode microfiber based Mach–Zehnder interferometer,” Opt. Lett. 40(21), 5042–5045 (2015). [CrossRef]  

28. N. M. Y. Zhang, K. Li, N. Zhang, Y. Zheng, T. Zhang, M. Qi, P. Shum, and L. Wei, “Highly sensitive gas refractometers based on optical microfiber modal interferometers operating at dispersion turning point,” Opt. Express 26(22), 29148–29158 (2018). [CrossRef]  

29. P. Pilla, C. Trono, F. Baldini, F. Chiavaioli, M. Giordano, and A. Cusano, “Giant sensitivity of long period gratings in transition mode near the dispersion turning point: an integrated design approach,” Opt. Lett. 37(19), 4152–4154 (2012). [CrossRef]  

30. L.-P. Sun, J. Li, L. Jin, Y. Ran, and B.-O. Guan, “High-birefringence microfiber Sagnac interferometer based humidity sensor,” Sens. Actuators, B 231, 696–700 (2016). [CrossRef]  

31. J. Li, L.-P. Sun, S. Gao, Z. Quan, Y.-L. Chang, Y. Ran, L. Jin, and B.-O. Guan, “Ultrasensitive refractive-index sensors based on rectangular silica microfibers,” Opt. Lett. 36(18), 3593–3595 (2011). [CrossRef]  

32. K. Li, N. M. Y. Zhang, N. Zhang, T. Zhang, G. Liu, and L. Wei, “Spectral characteristics and ultrahigh sensitivities near the dispersion turning point of optical microfiber couplers,” J. Lightwave Technol. 36(12), 2409–2415 (2018). [CrossRef]  

33. K. Li, T. Zhang, G. Liu, N. Zhang, M. Zhang, and L. Wei, “Ultrasensitive optical microfiber coupler based sensors operating near the turning point of effective group index difference,” Appl. Phys. Lett. 109(10), 101101 (2016). [CrossRef]  

34. K. Li, N. Zhang, N. M. Y. Zhang, G. Liu, T. Zhang, and L. Wei, “Ultrasensitive measurement of gas refractive index using an optical nanofiber coupler,” Opt. Lett. 43(4), 679–682 (2018). [CrossRef]  

35. L.-P. Sun, J. Li, S. Gao, L. Jin, Y. Ran, and B.-O. Guan, “Fabrication of elliptic microfibers with CO2 laser for high-sensitivity refractive index sensing,” Opt. Lett. 39(12), 3531–3534 (2014). [CrossRef]  

36. P. E. Ciddor, “Refractive index of air: new equations for the visible and near infrared,” Appl. Opt. 35(9), 1566–1573 (1996). [CrossRef]  

37. C. Van Leeuwen, A. Hensen, and H. A. J. Meijer, “International Journal of Greenhouse Gas Control Leak detection of CO2 pipelines with simple atmospheric CO2 sensors for carbon capture and storage,” Int. J. Greenhouse Gas Control 19, 420–431 (2013). [CrossRef]  

38. C. Cuthbertson and M. Cuthbertson, “On the refraction and dispersion of carbon dioxide, carbon monoxide, and methane,” Proc. R. Soc. London, Ser. A 97(683), 152–159 (1920). [CrossRef]  

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Figures (5)

Fig. 1.
Fig. 1. The schematic of elliptic microfiber and electric field distribution of the two orthogonal polarization fundamental modes.
Fig. 2.
Fig. 2. (a) The RI sensitivity of the elliptic microfibers with e∼0.5 and different diameters. (b) The simulated data of a and e when the turning point occurs at the wavelength 1550nm. (c) The simulated transmission spectra as the external refractive index changes from 1 to 1.00027330 (e = 0.5, a = 1.66µm, L = 3mm). (d) The wavelengths shift of peak A and peak B.
Fig. 3.
Fig. 3. (a) The schematic of detection equipment in gas pressure and RI sensing. (b) The transmission spectra in different relative pressure. (c) The dip wavelengths shift as the function of negative gauge pressure. (d) The RI sensitivity as the function of wavelength.
Fig. 4.
Fig. 4. (a) Schematic of the detection system. (b) Transmission spectra in different CO2 concentrations. (c) Dip wavelength shift as the CO2 concentration detection experiment continues. (d) Dip wavelength shift as a function of CO2 concentration. (e) The RI sensitivity as the function of wavelength. (f) The wavelengths shift in the test of repeatability (with an elliptic microfiber having a group birefringence turning point at ∼1470 nm).
Fig. 5.
Fig. 5. (a) Transmission spectra for the temperature range of 30 °C to 90 °C. (b) Dip wavelength shift as a function of temperature.

Equations (2)

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S n = d λ / d λ dn dn = λ B λ B / λ B n = λ G B n
n = 1 + ( n s 1 ) p p S T S T
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