Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Scientific Reports volume 14, Article number: 8657 (2024 ) Cite this article temperature sensor pt 100
A new type of silicon-based Mach–Zehnder interference (MZI) temperature sensor chip with “mosquito coil” structure was designed. The sensor chip used a new MZI interference structure. After the light entered the chip, it split and interfered in the combiner of the chip. The change in the surrounding temperature will cause the refractive index of the waveguide to change, which will cause the output light intensity to change. The sensor used a frequency stabilized laser that was based on a Bragg grating fiber. The experimental results showed that this structure could achieve a resolution of 0.002 °C and measuring range of 30 °C.
Raghi S. El Shamy, Diaa Khalil & Mohamed A. Swillam
Sherif M. Sherif & Mohamed A. Swillam
Zihao Zhi, Quanxin Na, … Junfeng Song
The production and research activities in the marine field have a large demand for sensors, especially marine pastures1,2,3,4, such as temperature sensor5,6, salinity sensor7, pH sensor8, dissolved oxygen sensor, turbidity sensor, special organic sensor and so on9. It is used to obtain the environmental elements and water quality information of the marine pasture. It is of great significance to ensure the ecological stability of the marine pasture, prevent pollution of water bodies and maintain efficient production activities. In addition to some intertidal organisms that are often exposed to air and submerged in seawater, other marine organisms tend to live in relatively stable temperatures and are sensitive to temperature changes10. At the same time, temperature changes not only affect the survival, reproduction and development of organisms, but also interact with other environmental factors, such as dissolved oxygen11, salinity and other environmental factors. Therefore, monitoring temperature changes is of great significance for maintaining the ecological stability of marine pastures and maintaining efficient production activities. At present, the existing temperature measurement methods mainly include platinum resistance temperature sensor12,13,14, fiber temperature sensor15,16, optical waveguide temperature sensor17,18, thermocouple temperature sensor19 and so on. The traditional platinum resistance temperature sensor has stable chemical properties, good linearity, good stability and high pressure resistance, but has the disadvantages of slow thermal response, poor resistance to vibration and impact, and high price. It is not suitable for marine pastures temperature measurement. Optical temperature sensors are mainly fiber temperature sensors and optical waveguide temperature sensors. The fiber temperature sensor mainly has three types of temperature sensors based on fiber FP cavity20,21, fiber grating22,23, and photonic crystal fiber24,25,26. Among them, the length of the fiber FP cavity changes with temperature, which causes the peak of the output spectrum to drift with temperature. It is small in size, high in precision, and fast in heat, but the FP cavity is difficult to manufacture. The fiber Bragg grating temperature sensor has small volume, light weight, low cost and mature technology, but its impact resistance and vibration resistance are poor, and the influence of microorganisms cannot be avoided, which will affect the measurement results.
The research on marine pastures includes research on environmental control technology. It monitors environmental factors and water quality information through various types of sensors, sends information to the upper computer through cable analysis and judgment, and regulates the marine pasture through negative feedback mechanism to ensure the production activities are efficient and stable. With the development of marine technology, marine pastures put forward higher requirements for in-situ real-time measurement of various physical quantities.
As far as we know, the existing optical waveguide temperature sensors based on MZI interference structure have the highest accuracy27,28,29,30,31,32, but their sensitive areas are small, the sensitivity to external temperature changes is low, and the response time is long. Existing optical waveguide temperature sensors mainly use polymer materials33,34,35 such as SU-8, PDMS, PMMA and the like. However, polymer materials are easily decomposed in seawater environments36,37, making it difficult to meet the needs of in situ measurements in marine pastures. Therefore, the demand for low-cost, high-precision temperature sensors has become more and more urgent. In recent years, silicon-based optoelectronic technology has matured, and all-optical sensing components and their hybrid integration technologies have become more and more mature. The optical waveguide temperature sensor has small volume, low cost, immune electromagnetic interference, and can be used in various extreme environments, and has become a research hotspot of high-precision temperature sensors in recent years.
In this paper, we proposed a waveguide temperature sensor based on MZI, which adopted a “mosquito coil” structure to grow sensitive area and increase the sensitivity. Finally, an accuracy of 0.01 °C and a temperature resolution of 0.002 °C were achieved. Compared with traditional sensors, our proposed spiral structure is smaller in size, lower in cost, easier to install, and can be integrated with detectors, optical switches and other devices. At the same time, we designed a fiber Bragg grating frequency-stabilized laser, which provides a light source with a stable frequency and light intensity for the waveguide.
The measurement principle is Mach–Zehnder interference. For the optical waveguide MZI, the optical path difference between the sensing arm and the control arm is the main parameter that affects the sensitivity of the sensor, and the optical path difference is related to the refractive index and length. We used SiO2 as the core layer of the optical waveguide with a thermo-optic effect coefficient \(dn/dT\) of -0.192 × 10–6/°C and a thermal expansion coefficient \(dl/dT\) of 0.45 × 10–6/°C38. Without considering the loss, the output light intensity of MZI is:
The phase difference between the two arms of the MZI is:
where ∆φ is the phase difference, λ is the laser wavelength, \({n}_{eff}\) is the effective refractive index of the waveguide core, \({L}_{1}\) is the length of the sensing arm, and \({L}_{2}\) is the length of the reference arm. It can be seen that the factors that affect the phase difference include the laser wavelength, the effective refractive index of the core, and the length difference between the arms.
When the laser wavelength is stable, the phase difference change due to temperature is:
Therefore, when the temperature changes, it will result in a change in the emitted light intensity, and the temperature can be demodulated by the change in light intensity. According to the above formula, one of the ways to increase the sensitivity of MZI is to increase the length of the sensing arm. In this paper, a mosquito-repellent-type structure of MZI is designed. Figure 1 shows the MZI structure we designed.
MZI mosquito coil structure. The light beam enters from the left and enters L1 and L2 respectively after splitting. The beam propagated counterclockwise in the red part of L1 and passes clockwise in the black part. Finally, it was combined at the beam combiner.
At the incident end of the MZI structure, the light splits into two beams, one beam passing through the sensing arm and the other beam passing through the reference arm as reference light. At the end of the MZI, the two beams combine to interfere. Finally, the interference is detected by the light intensity detector. The sensor arm in the MZI structure is a mosquito coil structure that minimizes transmission loss while maximizing the length of the sensing arm. The measuring range we designed was from -5 °C to -35 °C (the range of seawater temperature variation). Within this range, the two beams in the sensor combiner have a phase difference of π, or a wavefront difference of two beams of λ/2. That is the following formula:
Thus the length of the sensor arm should be:
where \({L}_{1}\) is the length of the sensing arm, \({L}_{2}\) is the length of the reference arm, \({\lambda }_{{T}_{2}^\circ {\text{C}}}\) is the laser wavelength at \({T}_{2}\) °C, and \({\lambda }_{{T}_{1}^\circ {\text{C}}}\) is the laser wavelength at \({T}_{1}\) °C.
In order to ensure the interference of the beam in the MZI and in order to obtain a high extinction ratio and low propagation loss, only a single mode should be transmitted in the core layer of the planar waveguide. The optoelectronic device herein used SiO2 as a substrate on which a waveguide layer was formed. We set the waveguide to a rectangular waveguide with a refractive index difference of 0.0298 between the core and the cladding. In a slab optical waveguide, the mode of actual propagation can be calculated by the following formula:
where \(w\) is the length of the waveguide and \(h\) is the width of the waveguide,\({n}_{1}, {n}_{2}\) are the refractive indices of the core layer and the cladding layer, respectively.\({k}_{x}\) , \({k}_{y}\) , and \({k}_{z}\) are propagation constants in the \(x\) , \(y\) and \(z\) axis directions, respectively.
Through simulation, it was verified that the single-mode light propagated in the core waveguide at this time, and the result is shown in Fig. 2.
Light propagation mode in the waveguide core.
The waveguide core layer has a cross-sectional dimension of 3 × 3 μm, wherein the cladding refractive index is 1.4448 and the core refractive index is 1.4746.
The Mach–Zehnder interference optical waveguide chip is processed by Shijia Photon Technology Co., Ltd. The solution uses SiO2 substrate to form a waveguide layer on it. Figure 3 shows the manufacturing process of optical waveguides.
The manufacturing process of Mach Zehnder interference chip.
In Fig. 3, the formation of Core&Bottom Clad in step (a) is a key step in the manufacturing of optical waveguide chips, mainly including material selection, coating, curing, and subsequent processing. Firstly, it is necessary to select suitable optical materials and bottom coating materials. The selection of these materials is based on factors such as their optical properties, thermal stability, mechanical strength, and processing performance. For the Core layer, it is usually necessary to have a high refractive index to effectively guide light waves; The Bottom Clad layer needs to have a lower refractive index to ensure the propagation of light waves in the Core layer. Here, SiO2 based waveguides are used, with substrate refractive index of 1.4444 and cladding of 1.4421. Next, these two materials are respectively coated on the substrate through coating technology. During this process, it is necessary to control the uniformity and thickness of the coating to ensure the performance of the optical waveguide. After coating, it is necessary to perform thermal curing treatment on the material to form a stable structure on the substrate. Finally, perform subsequent processing on the formed Core&Bottom Clad, including cleaning, inspection, and leveling. These processing steps aim to eliminate possible defects and contamination during the processing, and improve the quality and reliability of optical waveguides.
In step (b), make a mask. Mask is a printing like process that plays a role in protecting sensitive areas in chip manufacturing. In step (c), apply photoresist (PR) and ensure uniform coverage of the photoresist through spin coating technique. Ultraviolet light is irradiated onto the photoresist through the mask of the lithography machine, forming an exposure area corresponding to the design pattern. After exposure, the silicon wafer undergoes a development process. The developer will dissolve the photoresist portion that has been exposed to ultraviolet light, while the unexposed portion is retained. In this way, the graphics of the chip design will be displayed on the photoresist. In step (d), perform the etching process. The etching solution will dissolve the unprotected portion of the silicon wafer by the photoresist, forming a depression on the Mask that corresponds to the design pattern. In step (e), clean and inspect to remove photoresist residue and impurities generated by etching. In step (f), the Hard mask is used as the protective layer to etch the Core layer, accurately removing unnecessary Core materials, and forming the desired optical waveguide structure. The advantage of using Hard mask to etch the Core layer is that it can provide higher etching accuracy and stability, especially suitable for the manufacturing of complex and fine optical waveguide structures. In step (g), peel off the hard mask. Before starting the stripping process, ensure that the working environment is clean and dust-free to avoid introducing additional pollution or damage. In step (h), Above clad is formed. Covering and protecting the already formed waveguide structure, ensuring stable transmission of light waves within the waveguide, while preventing the influence of external environment on the performance of the waveguide. The upper cladding material here is SiO2. To ensure the transmission efficiency of light waves within the upper cladding, it is necessary to smooth the surface of the upper cladding. After completing the formation of the upper layer, thoroughly clean the chip to remove any residues and pollutants that may occur during the deposition process. Finally, the manufactured chips are tested.
This system used the jitter frequency method to stabilize the laser frequency, and used a FBG-FP to obtain the feedback signal. As shown in Fig. 4, a temperature-sensitive FBG-FP is designed, with two FBGs of the same length, and the length between the two FBGs is the same as the length \(L\) of FBG.
FP cavity has a frequency selection function, so it is widely used in laser frequency stabilization systems. In this paper, two FBGs of the optical fiber are used to form an FBG-FP. The optical fiber sensor adopts the FBG-FP structure, in which the FBG length \(L\) is 2 cm, the FP length \(L\) is 2 cm, and the FP is between the two FBGs. The reflectivity of the FBG is 99.1%. Due to the high reflectivity of the FBG, the FP cavity has a high degree of fineness and a narrow spectrum width. The FBG-FP structure of the optical fiber uses acrylate as the coating layer, and its coefficient of thermal expansion \(\mathrm{\alpha }\) is 85 × 10–6/°C. According to the transmission matrix theory, the transmission matrix of FBG-FP is39,40:
where \(\eta =\frac{2\pi {n}_{eff}}{{\lambda }_{b}}\) , \({n}_{eff}\) is the effective refractive index of the core and \(L\) is the length of FP.
where \(\overline{\Delta {n}_{eff}}\left(z\right)\) is the modulation depth of the refractive index, \(\Lambda\) is the grid period of the fiber grating,\({n}_{eff}\) is the effective refractive index, and \(\varphi \left(z\right)\) is the grating chirp, \(\vartheta\) is the visibility of fringe modulated by refractive index, \(\alpha\) and \(\beta\) are the coupling coefficients which are constants, \(L\) is the length of FBG, \({\lambda }_{b}\) is the center wavelength of FBG.
According to the above formula, the reflection coefficient and transmission coefficient of FBG-FP can be obtained as:
Therefore, the reflectance and transmittance of FBG-FP are:
Because the fiber Bragg grating only reflects the incident light wave within the grating bandwidth, the high reflectivity mirror can reflect the light wave in the entire incident wavelength range. Therefore, the FBG-FP cavity is better than the ordinary FP cavity in terms of frequency selection.
Among them, \(R\) is the reflection coefficient of FBG-FP, and \({\phi }_{r}\) is the phase factor of FBG-FP.
The light intensity reflection spectrum of FBG-FP can be calculated by the above formula. The reflected light intensity of FBG-FP and the input light frequency have the relationship shown in Fig. 5.
The input frequency changes cause the reflected light intensity to change.
In the reflected light intensity spectrum of FBG-FP, each trough corresponds to a unique frequency. Therefore, as long as the reflected light intensity is kept at the trough, the output frequency of the laser can be stabilized. Using this feature, we can use the jitter frequency method to stabilize the output frequency of the laser on the reference cavity. The frequency stabilization system is shown in Fig. 6.
Frequency stabilization system, DFB-LD distributed-feedback laser, FOI fiber optics isolator, BS beam splitter, OC optical circulator, PD optical detector, FBG fiber Bragg grating, LO local oscillator, AM amplifier.
The frequency stabilization system includes laser source, fiber sensor and controller. The DFB-LD uses 1550 nm wavelength, and the fiber sensor is used to provide error signal. The fiber optic sensor is placed in a triple point bottle of gallium to obtain a stable environment. So that the various parameters of FBG-FP can maintain a constant value, that is to say, the optical frequency corresponding to the reflection spectrum trough of FBG-FP is fixed.
The laser emitted by the DFB-LD passed through the isolator and was divided into two beams by the fiber beam splitter, one of which was used as the output light, and the other was input into the FBG-FP through the circulator to stabilize the output light frequency of the laser. The reflected light of the FBG-FP was detected by the photodetector after passing through the circulator, and the detection signal was multiplied by the local oscillator (LO). After passing through the low-pass filter, it was transmitted to the controller as an error signal, and the controller calculated the control signal by the PID control algorithm. The control signal and the local oscillator (LO) were added together and transmitted to the DFB-LD to stabilize the frequency of the DFB-LD. The controller and other parameters could be controlled by PC.
Figure 6 shows the structure and working process of PID control.
As shown in Fig. 7, the reflected signal \({I}_{R}(t)\) of the FBG-FP was multiplied by the local oscillator signal (LO) and then passed through the low-pass filter to obtain the error signal \(Err(t)\) .
The laser is controlled by the output signal \(Vout\left(t\right)\) of the controller:
\(Err(t)\) is the signal passed through the low-pass filter, which filters out fundamental wave and its harmonic signals, leaving only the DC control signal.
The relationship between the control signal output by PID control and the error signal \(Err\left(t\right)\) is:
where \({K}_{p}\) is the proportional coefficient, \({K}_{p}/{T}_{i}\) is the integral coefficient, and \(Kp\cdot Td\) is the differential coefficient.
As shown in Fig. 8, the frequency stability laser was connected to the waveguide temperature sensor via an optical fiber. The output fiber of the optical waveguide was connected to the light intensity detector to record the change of the light intensity with temperature. The optical waveguide temperature sensor was placed in a water bath to measure the temperature of the water.
Schematic diagram of slab optical waveguide experiment, MZI MZI optical chip.
Figure 9 shows the results measured by the optical waveguide temperature sensor. First, the water was heated to 47 °C by a constant temperature water bath and then cooled to 17 °C. The output light intensity of the MZI was recorded by a light intensity detector.
Light intensity changes with temperature during natural cooling.
As can be seen from Fig. 9, as the temperature decreases unilaterally, the light intensity increases unilaterally. When the temperature changed from 47 to 17 °C, the light intensity changed from 0 to 15 μW, which was consistent with theoretical analysis. The resolution of photoelectric detection is 0.1 nw and the accuracy is 1 nW. During the experiment, the temperature changed by 30 °C, resulting in the light intensity changed by 15 μW, so the accuracy of our MZI is 0.002 °C.
As can be seen from Fig. 10, error bars in 10 repeated measurements. In 10 repeated tests, the error of MZI is larger, which is mainly affected by the instability of the test environment.
MZI temperature sensor compared with thermometer.
In conclusion, we designed an optical waveguide temperature sensor based on MZ interference. The temperature sensor adopted a new MZ interference structure, which overcome the shortcomings of the small size accuracy of the flat optical waveguide. At the same time, the sensor used a frequency stabilized laser that was based on a Bragg grating fiber. The experimental results showed that the optical waveguide temperature sensor had a resolution of 0.002 °C and measuring range of 30 °C (Supplementary Information S1).
Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.
Malardé, D., Wu, Z. Y., Grosso, P. & de Bougrenet, J.-L. High-resolution and compact refractometer for salinity measurements. Meas. Sci. Technol. 20(1), 015204 (2009).
Bullen, C. R. & Carlson, T. J. Non-physical fish barrier systems: their development and potential applications to marine ranching [J]. Rev. Fish Biol. Fish. 13(2), 201–212 (2003).
Hilborn, R. The economic performance of marine stock enhancement projects [J]. Bull. Mar. Sci. 62(2), 661–674 (1998).
Pickering, H. Marine ranching: A legal perspective [J]. Ocean Dev. Int. Law 30(2), 161–190 (1999).
Seaman, W. & Sprague, L. M. Artificial habitats for marine and freshwater fisheries [J]. Rev. Fish Biol. Fish. 3(1), 80–81 (1993).
Bricaud, A., Bosc, E. & Antoine, D. Algal biomass and sea surface temperature in the Mediterranean Basin Intercomparison of data from various satellite sensors, and implications for primary production estimates [J]. Rem. Sens. Environ. 81(2–3), 163–178 (2002).
Huang, X. et al. A miniature, high precision conductivity and temperature sensor system for ocean monitoring [J]. IEEE Sens. J. 11(12), 3246–3252 (2011).
Johnson, K. S. & Coletti, L. J. In situ ultraviolet spectrophotometry for high resolution and long-term monitoring of nitrate, bromide and bisulfide in the ocean [J]. Deep Sea Res Part I Ocean. Res. Papers 49(7), 1291–1305 (2002).
Article ADS CAS Google Scholar
Zhao, L. Y. Novel sensor design and application for detection of dangerous contaminated marine biotoxins [J]. Appl. Mech. Mater. 416–417, 980–984 (2013).
Mohd Syaifudin, A. R., Yunus, M. A., Mukhopadhyay, S. C. et al. A novel planar interdigital sensor for environmental monitoring [C]. In IEEE Sensors 2009 Conference. (The United States: IEEE, 2009).
Hogg, O. T., Barnes, D. K. A. & Griffiths, H. J. Highly Diverse, Poorly Studied and Uniquely Threatened by Climate Change: An Assessment of Marine Biodiversity on South Georgia’s Continental Shelf [J]. PLoS ONE 6(5), e19795 (2011).
Article ADS CAS PubMed PubMed Central Google Scholar
Remen, M. et al. The oxygen threshold for maximal feed intake of Atlantic salmon post-smolts is highly temperature-dependent [J]. Aquaculture 464, 582–592 (2016).
Moser, Y. & Gijs, M. A. M. Miniaturized flexible temperature sensor [J]. J. Microelectromech. Syst. 16(6), 1349–1354 (2007).
El-Ali, J. et al. Simulation and experimental validation of a SU-8 based PCR thermocycler chip with integrated heaters and temperature sensor [J]. Sens. Act. A Phys. 110(1–3), 3–10 (2004).
Zitzmann, H., & Pegnitz, L. Platinum temperature sensor and its method of production [P] (United States: US6653926B1, Nov.25, 2003).
Julian, D., & Jones, C. Review of Fibre sensor techniques for temperature-strain discrimination [C]. In 12th International Conference on Optical Fiber Sensors (United States: OSA, 1997. OTuCl-1/36-OTuCl-4 / 39).
Lee, B. Review of the present status of optical fiber sensors [J]. Opt. Fiber Technol. 9(2), 57–79 (2003).
Article ADS CAS Google Scholar
Klimov, N. N. et al. On-chip silicon waveguide Bragg grating photonic temperature sensor [J]. Opt. Lett. 40(17), 3934–3936 (2015).
Article ADS CAS PubMed Google Scholar
Irace, A. & Breglio, G. All-silicon optical temperature sensor based on multi-mode interference [J]. Opt. Exp. 11(22), 2807–2812 (2003).
Ogawa, K., & Hiroshi Suzuki, K. Immersion-type temperature measuring apparatus using thermocouple [P] (United States: US00536O269A, Nov.1, 1994).
Lee, C. E. & Taylor, H. F. Fiber-optic fabry-perot temperature sensor using a low-coherence light source [J]. J. Mag. J. Lightwave Technol. 9(1), 129–134 (1991).
Choi, H. Y. et al. Miniature fiber-optic high temperature sensor based on a hybrid structured Fabry-Perot interferometer [J]. Opt. Lett. 33(21), 2455–2457 (2008).
Article ADS PubMed Google Scholar
Zhang, B. & Kahrizi, M. High-temperature resistance fiber bragg grating temperature sensor fabrication [J]. IEEE Sens. J. 7(4), 586–591 (2007).
Article ADS CAS Google Scholar
Kersey, A. D. & Berkoff, T. A. Fiber–Optic Bragg–grating differential-temperature sensor [J]. IEEE Photon. Technol. Lett. 4(10), 1183–1185 (1992).
Yu, Y. et al. Some features of the photonic crystal fiber temperature sensor with liquid ethanol filling [J]. Opt. Exp. 18(15), 15383–15388 (2010).
Srivastava, T., Das, R. & Jha, R. Highly sensitive plasmonic temperature sensor based on photonic crystal surface plasmon waveguide [J]. Plasmonics 8(2), 515–521 (2013).
Qian, W. et al. High-sensitivity temperature sensor based on an alcohol-filled photonic crystal fiber loop mirror [J]. Opt. Lett. 36(9), 1548–1550 (2011).
Article ADS CAS PubMed Google Scholar
Guan, X., Wang, X. & Frandsen, L. H. Optical temperature sensor with enhanced sensitivity by employing hybrid waveguides in a silicon Mach-Zehnder interferometer [J]. Optics Express 24(15), 16349–16356 (2016).
Article ADS CAS PubMed Google Scholar
Lee, J. M. Ultrahigh temperature-sensitive silicon MZI with titania cladding [J]. Opt. Photon. 2(36), 1 (2015).
Gao, Y., Zhang, X.-X. & Liao, J.-K. Optimization design of optical waveguide in Mach-Zehnder electro-optical polymer modulator [J]. Optoelectron. Lett. 7(1), 1–4 (2011).
Zhang, J. et al. Integrated optical waveguide sensor for lighting impulse electric field measurement [J]. Photon. Sensors 4(3), 215–219 (2014).
Article ADS CAS Google Scholar
Krivoshlykov, S. G. & Sisakyan, I. N. Functional potentialities and sensitivity of sensors made from multimode graded-index optical waveguidees [J]. Soviet J. Quant. Electron. 17(3), 299–305 (1987).
Pruessner, M. W. et al. Thermo-optic tuning and switching in SOI waveguide Fabry-Perot microcavities [J]. Opt. Express 15(12), 7557–7563 (2007).
Article ADS PubMed Google Scholar
Gu, F. et al. Polymer single-nanowire optical sensors [J]. Am. Chem. Soc. 8(9), 2757–2761 (2008).
Jung, W. G. et al. High-sensitivity temperature sensor using a side-polished single-mode fiber covered with the polymer planar waveguide [J]. IEEE Photon. Technol. Lett. 13(11), 1209–1211 (2001).
Pelletier, N. et al. Single-mode rib optical waveguides on SOG/SU-8 polymer and integrated Mach-Zehnder for designing thermal sensors [J]. IEEE Sens. J. 6(3), 565–570 (2006).
Article ADS CAS Google Scholar
Guebitz, G. M. & Cavaco-Paulo, A. Enzymes go big: surface hydrolysis and functionalisation of synthetic polymers [J]. Cell Press 26(1), 32–38 (2008).
Wiechmann, S. & Müller, J. Thermo-optic properties of TiO2, Ta2O5 and Al2O3 thin films for integrated optics on silicon. Thin Solid Films 517(24), 6847–6849 (2009).
Article ADS CAS Google Scholar
Schaefer, D. W. Polymers, fractals, and ceramic materials [J]. Science 243(4894), 1023–1027 (1989).
Article ADS CAS PubMed Google Scholar
Quan, X. & Fry, E. Empirical equation for the index of refraction of seawater. Appl. Opt. 34, 3477–3480 (1995).
Article ADS CAS PubMed Google Scholar
This work was supported by the Ministry of Education, Singapore, under its MOE ARF Tier 2 (MOE2019-T2-2-179), also supported by the Youth Innovation Promotion Association of the Chinese Academy of Sciences (No. 2021283).
School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore
Guoqiang Li & Yuanjin Zheng
Institute of Novel Semiconductors, Institute of Crystal Materials, State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, China
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201204, China
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
G.L. conceived the experiments and performed statistical analysis and figure generation. T.L. and Y.Z. conducted the experiments. Y.F. conduct data collection and analysis. The manuscript was written by G.L and Y.Z. All authors reviewed the manuscript.
Correspondence to Yongfang Liu or Yuanjin Zheng.
The authors declare no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Li, G., Li, T., Liu, Y. et al. A new Mach–Zehnder interference temperature measuring sensor based on silica-based chip. Sci Rep 14, 8657 (2024). https://doi.org/10.1038/s41598-024-59447-z
DOI: https://doi.org/10.1038/s41598-024-59447-z
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.
Scientific Reports (Sci Rep) ISSN 2045-2322 (online)
bead type thermistor Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.