Multi-parameter Sensor Research Articles

Multi-Parameter Sensors Based on Optical Reflective Coupler Probe

We propose and demonst rate multi-parameter sensors based on optical reflective coupler probe (ORCP), for detection of liquid level, temperature, and refractive index (RI). Single-mode fiber ORCP (S-ORCP), few-mode fiber ORCP (F-ORCP) and multi-mode fiber ORCP (M-ORCP) are fabricated by adiabatically tapering and weak fusion technology. The highest liquid level sensitivity is 363.64 nm/mm, achieved by the M-ORCP, with detection limit of as low as 0.06 μm. In addition, multi-parameter measurement of liquid level, temperature and RI can be achieved by the M-ORCP, with temperature and RI sensitivities of −0.327 nm/°C and 7859.27 nm/RIU, respectively. With the merits of high sensitivity, stability, and compact half-coupler probe structure, the proposed ORCP sensors of ∼ cm length can measure the liquid level range of ∼3 mm, which have broad application prospects in the fields of fuel storage and chemical liquid level measurement, especially for chemical reagents, biological tissue liquids and flammable and explosive liquids.

Multiparameter sensor based on micro/nano-structured optical fiber and composites

In this paper, an optical fiber sensor is realized with multi-parameter measurement, including magnetic field, temperature and displacement. Then, the implementation of the three-parameter independent measurement was performed. Among of them, one of fiber Bragg gratings (FBG) is coated giant magnetostrictive particle composite (GMPC) to measure the magnetic field, another FBG is used to measure displacement, and a micro-nano fiber structure of single mode fiber (SMF)-tapering seven core fiber (T-MCF-7)-SMF (S-TM7-S) is applied to measure temperature. Further, the GMPC concentration with the best sensitivity and the best seven-core fiber length were finally selected to form the sensing unit for simultaneous detection of the three parameters. The optical fiber sensor has potential applications for measuring magnetic field environments and system temperatures in high-voltage systems, engineering quality monitoring, as well as circuit safety monitoring.

Multiparameter Sensor Based on DCF Composite Tapered Structure Cascaded LPFGs for the Simultaneous Measurement of Refractive Index, Temperature, and Axial Strain

In this article, a fiber optic sensor based on double-cladding fiber (DCF) composite tapered structure cascaded long-period fiber gratings (LPFGs) for measuring refractive index (RI), temperature, and axial strain is designed. The two ends of a Section of DCF are, respectively, fused with single-mode fiber (SMF) and LPFG1 to form two up-tapers, and then the DCF is formed into a down-taper. Another end of LPFG1 is cascaded with LPFG2, and the center wavelengths of the two LPFGs are different. LPFG1, LPFG2, and tapered DCF generate three resonance peaks, namely, dip1, dip2, and dip3, respectively, whose sensitivity in response to different parameters is different. When external parameters change, the dips will have spectral shifts. The experimental results indicate that, when the RI is changed within 1.3355–1.3715, the sensitivity of dip1, dip2, and dip3 is –52.12, – 132.58, and 37.61 nm/RIU, respectively. When the temperature varies from 30 °C to 80 °C, the sensitivity of dip1, dip2, and dip3 is 74.05, 98.02, and 26.33 pm/°C in turn, respectively. When the axial sensitivity of dip1, dip2, and dip3 is – 1.95, – 2.58, and –3.24 pm/ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \varepsilon $ </tex-math></inline-formula> , respectively. The resolutions for RI, temperature, and axial strain are 0.0005 RIU, 1.3375 °C, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$14.0886 \mu \varepsilon $ </tex-math></inline-formula> , respectively. The three parameters can be monitored simultaneously using the coefficient sensitivity matrix. The designed sensor has high repeatability and good linearity, and it is practical in the field of multiparameter detection.

Mediterranean seagrasses as carbon sinks: methodological and regional differences

Abstract. The increasing rates of CO2 due to anthropogenic activities are causing important potential climate threats for the Mediterranean Sea: ocean acidification and warming. In this region, two seagrass species, Posidonia oceanica and Cymodocea nodosa, can play a crucial role in climate change mitigation. Seagrasses can act as carbon sinks, buffer lowering pH values during the day and storing carbon in the sediment underneath their meadows. However, available data documenting these processes are scattered and collected using different methodologies, which makes its interpretation and generalization very challenging. In this study, we analyzed published and unpublished data (collected for this study) on seagrass community metabolism to compare two methodologies, benthic chambers and multiparametric sensors, and evaluate trends through time for these two species. Furthermore, we analyzed seasonal trends of both seagrass species' metabolic rates and their variation between the eastern and western Mediterranean basins. Most evaluated meadows, 80.9 %, were autotrophic. Calculated metabolic rates differ between methodologies, with multiparametric sensors estimating rates almost an order of magnitude higher, 143.22±28.21 (SE) mmol O2 m−2 d−1 for net community production (NCP) compared to an average of 18.75±3.80 (SE) mmol O2 m−2 d−1 for measurements with benthic chambers. However, sensors are not able to differentiate between habitats and only useful to assess seagrass metabolism at a broader community level, whereas benthic chambers are capable of evaluating rates at the species level and confirm that P. oceanica is more productive compared to C. nodosa. We found similar metabolic rates in the eastern and western Mediterranean regions for P. oceanica with the benthic-chamber technique and higher NCP in the west based on sensor measurements.

Surface plasmon resonance sensor for refractive index and temperature measurement based upon a double-sided polished microstructured fiber

This paper reports a double-sided polished microstructured fiber based on the refractive index that simultaneously measures the refractive index and temperature. Two polished planes were introduced into the cladding. A gold film and polydimethylsiloxane are deposited on one side of the plane for temperature measurements, and graphene layers are coated on the surface of the silver film on the other side for refractive index measurements. The finite element method is used to characterize the sensing characteristics of the sensor. The results show that when the liquid refractive index is from 1.36 to 1.4 and the temperature from 70 °C to 110 °C, the maximum sensitivity of the sensor is 15,000 nm/RIU and 8.8 nm/°C, respectively. The double-sided polished structure facilitates the development of multi-parameter measurement sensors for various applications.

Highly sensitive temperature and strain sensor based on an antiresonant hollow core fiber probe with the Vernier effect.

A highly sensitive temperature and strain sensor based on an antiresonant hollow core fiber (ARHCF) probe with the Vernier effect is proposed and experimentally demonstrated. The ARHCF probe is used as a reference interferometer by sandwiching an ARHCF, which is insensitive to temperature, strain, and refractive index, between a single-mode fiber (SMF) and a polarization-maintaining fiber (PMF). The polarization mode interferometer (PMI), fabricated by splicing a section of PMF with a fiber polarizer at a 45-degree angle, works as a sensing interferometer. The Vernier effect is introduced by connecting the reference interferometer and the PMI in parallel. The experimental results show that by introducing the Vernier effect, the temperature sensitivity is improved from -1.68 to -15.7nm/∘C and the strain sensitivity is improved from 5.09 to 47.65 pm/µε. The magnification is consistent with the theoretical results. The reference segment of the proposed sensor is not affected by ambient factors, which provides a new strategy and idea for the development of multiparameter sensors based on the Vernier effect.

Effect of geometrical and physical properties of cantor structure for gas sensing applications

In this article, the effects of geometrical and Physical properties of gyroidal graphene and porous silicon of Cantor sequence terminated by gyroidal layer are studied for Gas sensing applications. The study is investigated in THz frequencies with transverse electric polarized light. Gyroidal graphene layers have good tunable optical properties and can excite Tamm resonance due to the metallic property of graphene in the THz range. The recorded spectral sensitivity of the proposed detector is 2431 THz/RIU when the analyte index of refraction is in the range from 1.000 to 1.002. Our research will be highly useful in the development of a high-sensitivity, multi-parameter Tamm resonance sensor.

Analytical models of movement of wires of air high-voltage power transmission lines

The article PURPOSE with the problem of monitoring the state of high-voltage overhead power lines in order to ensure uninterrupted and reliable supply of consumers with electricity. METHODS. As parameters of the state, the sag, the tensile force and the mass per unit length of the wire hanging in the span are defined. IT IS STRESSED that a complete picture of the state of an overhead line can be established by determining the spectral composition of the wire vibrations using mounted automated multi-parameter sensors with accelerometers as sensors. It is shown that the currently used dynamic models for describing the motion of a wire as a pendulum and as a tightly stretched string are not complete enough to represent the vibrations of the wire in all three spatial coordinates, do not cover vibrations with odd harmonics and symmetrical vibrations. A system of equations has been OBTAINED that makes it possible to describe the spatial oscillations of the wire along all three axes, taking into account the difference in heights of the wire suspension points. IT IS SHOWN that the analysis of the higher harmonics of the spectrum of vibrations of the wire makes it possible to determine all the main mechanical parameters of the wires of overhead power lines.

Characteristic Analysis of a Chipless RFID Sensor Based on Multi-Parameter Sensing and an Intelligent Detection Method.

Chipless radio frequency identification (RFID) technology has been widely used in the field of structural health monitoring (SHM), but most of the current research mainly focuses on the detection of mechanical properties and there are few studies on the multi-physical parameters (for example, temperature and humidity) in the climatic environment around the structure. Thus, it is necessary to design a small and compact sensor for multi-parameter detection. This paper proposes a multi-parameter chipless RFID sensor based on microstrip coupling, which supports 4-bit ID code and integrates two detection functions of temperature and humidity. Through linear normalization fitting, the sensitivity of the sensor is about 2.18 MHz/RH in the ambient relative humidity test and the sensitivity of the sensor is about 898.63 KHz/°C in the experimental test of water bath heating from 24.6 °C to 75 °C. In addition, this paper proposes an engineering application detection method, designs a lightweight dynamic spectrum detection and wireless transmission platform based on a lightweight vector network analyzer (VNA) and realizes the real-time extraction and transmission of RFID spectrum sensing data. The means are more flexible and economical than traditional experimental scenarios.

Advanced multimodal solid-state optochemical pH and dual pH/O2 sensors for cell analysis

Optochemical sensors are actively used in cell analysis, however existing systems have limitations with respect to their robustness and analytical performance. We have developed advanced multimodal and multi-parametric solid-state pH sensors for cell analysis based on hydrophobic protonable metal-free porphyrins, such as octaethylporphine (OEP), and octaethylporphine-ketone (OEPK), as fluorescent pH indicators. The internally referenced ratiometric intensity and nanosecond lifetime-based versions of the pH sensors were developed and also multiplexed with the O2 sensors based on phosphorescent PtOEP dye. We optimised the key parameters of the pH sensor, including: dye encapsulation matrix, the type and concentration of proton transfer reagent, measurement pH range and pKa, dye concentrations and cross-talk with the O2 sensor. Subsequently, sensor coatings were deposited on common substrates used in cell analysis (96-well plates), fine-tuned for their operational performance, dual O2/pH sensing functionally and the ability to measure Extracellular Acidification (ECAR) and Oxygen Consumption (OCR) rates in biological samples containing cells. The optimised sensors with stable internally referenced calibrations, convenient spectral characteristics and low cytotoxicity, were demonstrated with cultured cells and 3D spheroid structures, measuring their ECAR, OCR and responses to stimulation. These pH and dual pH/O2 sensors are well-suited for detailed metabolic studies of biological samples on widely available laboratory equipment.

Surface modified chitosan-silica nanocomposite porous thin film based multi-parametric optical glucose sensor.

In this work, a multi-parametric optical sensor based on chitosan-silica nanocomposite (CSNC) porous thin film has been developed for effective detection of glucose in pathological range. The CSNC films were surface functionalized with Glucose Oxidase enzyme via Glutaraldehyde crosslinking chains for better attachment of enzyme molecules on thin film surface. FESEM and FTIR were performed for morphological and compositional characterisation of the composite films. Five interlinked optical parameters, i.e., transmittance (T), reflectance (R), internal scattering (IS), surface scattering (SS) and output power (OP) were measured simultaneously using image processing environment for cost efficiency of the system. Effect of surface functionalization on individual parameter response was studied. It was observed that without surface functionalization only two parameters change significantly, while surface functionalization enables all five parameters. For lower and higher glucose concentration (< 17 mM and > 17 mM), IS and SS were found to be maximum sensitive among the five parameters, respectively. Maximum sensitivity of 1.2 mM−1 in IS and 1 mM−1 in SS were observed for surface functionalized samples. The sensor showed good sensitivity, selectivity and reproducibility in the dynamic range of 3–30 mM and LOD of the sensor was found to be 0.76 mM. CSNC sensors were found suitable for single-time use and as mass production is possible with little amount of composite solution (250 sensors with just 10-ml composite solution), the sensor fabrication method is very much cost efficient. Image processing-based multi-parametric sensing is a novel field itself and detailed study of surface modified CSNC glucose sensors utilizing such sensing system is a unique work having potential to significantly contribute in the field of multi-parametric label-free optical biosensor research.

A Multiparameter Sensor Based on Dumbbell-Shaped Double-Cladding Fiber Structure Cascaded Long Period Fiber Grating

A multi-parameter sensor based on dumbbell-shaped double-cladding fiber (DCF) structure cascaded long period fiber grating (LPFG) is proposed and fabricated. It is formed by discharging between single mode fiber (SMF) and DCF to form a waist-enlarged taper and then cascading two LPFGs. When the fiber is affected by the thermal expansion effect, thermo-optic effect and elasto-optic effect, the resonant peaks formed by inter-mode interference will shift, and the shifts generated by different resonant peaks are also different. By demodulating the wavelength shift of the three resonant peaks, the temperature, refractive index and axial strain can be measured by using the coefficient sensitivity matrix. The experimental results show that the temperature sensitivity of the three resonance peaks is 14.79 pm/°C, 69.07 pm/°C and 89.83 pm/°C in the range of 25 °C~80 °C. The refractive index sensitivities of three resonance peaks are 14.27 nm/RIU, −71.39 nm/RIU and −141.07nm/RIU in the range of 1.3355 ~ 1.3715. The axial strain sensitivities of three resonance peaks are −2.26 pm/ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \varepsilon $ </tex-math></inline-formula> , −2.5pm/ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \varepsilon $ </tex-math></inline-formula> and −3.14 pm/ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \varepsilon $ </tex-math></inline-formula> in the range of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$75 \mu \varepsilon $ </tex-math></inline-formula> ~ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$525 \mu \varepsilon $ </tex-math></inline-formula> . The corresponding resolutions are 0.6905 °C, 0.00054RIU and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$36.323 \mu \varepsilon $ </tex-math></inline-formula> , respectively. The sensor is simple and has good linearity. It can be widely used in environmental monitoring for different parameter.

The Near Fault Observatory community in Europe: a new resource for faulting and hazard studies

The Near Fault Observatories (NFOs) community is one of the European Plate Observing System (EPOS, http://www.epos-eu.org) Thematic Communities, today consisting of six research infrastructures that operate in regions characterised by high seismic hazard originating from different tectonic regimes. Earthquakes respond to complex natural systems whose mechanical properties evolve over time. Thus, in order to understand the multi-scale, physical/chemical processes responsible for the faulting that earthquakes occur on, it is required to consider phenomena that intersect different research fields, i.e., to put in place multidisciplinary monitoring. Hence, NFOs are grounded on modern and multidisciplinary infrastructures, collecting near fault high resolution raw data that allows generation of innovative scientific products. The NFOs usually complement regional backbone networks with a higher density distribution of seismic, geodetic, geochemical and other geophysical sensors, at surface and sometimes below grade. These dense and modern networks of multi-parametric sensors are sited at and around active faults, where moderate to large earthquakes have occurred in the past and are expected in the future. They continuously monitor the underlying Earth instability processes over a broad time interval. Data collected at each NFO results in an exceptionally high degree of knowledge of the geometry and parameters characterizing the local geological faults and their deformation pattern. The novel data produced by the NFO community is aggregated in EPOS and is made available to a diverse set of stakeholders through the NFO Federated Specific Data Gateway (FRIDGE). In the broader domain of the Solid Earth sciences, NFOs meet the growing expectations of the learning and communication sectors by hosting a large variety of scientific information about earthquakes as a natural phenomenon and a societal issue. It represents the EPOS concept and objective of aggregating and harmonising the European research infrastructures capabilities to facilitate broader scientific opportunity. The NFOs are at the cutting edge of network monitoring. They conduct multidisciplinary experiments for testing multi-sensor stations, as well as realise robust and ultra-low latency, transmission systems that can routinely accommodate temporary monitoring densification. The effort to continuously upgrade the technological efficiency of monitoring systems positions the NFO at the centre of marketing opportunities for the European enterprises devoted to new sensor technology. The NFOs constitute ideal test beds for generating expertise on data integration, creating tools for the next generation of multidisciplinary research, routine data analysis and data visualization. In particular focus is often on near-real time tools and triggering alarms at different levels are tested and implemented, strengthening the cooperation with the Agencies for risk management. NFOs have developed innovative operational actions such as the Testing Centre for Earthquake Early Warning and Source Characterisation (CREW) and detailed fast ground shaking and damage characterization. Complementing the recent growth of modern laboratory and computational models, the NFOs can provide interdisciplinary observations of comparable high resolution to describe the behaviour of fault slip over a vast range of spatial and temporal scales and aiding to provide more accurate earthquake hazard characterizations.

ANALYSIS OF THE INFLUENCE OF SELECTED TECHNOLOGICAL PARAMETERS ON THE MAGNITUDE OF VIBRATIONS DURING MATERIAL MACHINING BY MILLING

With the current development of technology, more and more emphasis is being placed on product quality. Therefore, it is important in machining to continuously take care to reduce the influence of undesirable factors that adversely affect the machining process itself. Vibrations are one of the basic factors influencing the quality of machining. This paper analyzes the issue of vibration during milling. By measuring selected vibration parameters on the spindle head of a universal tool milling machine, information on the process of vibration magnitude in the milling process was obtained using a multiparametric vibration sensor. During machining, the magnitudes of vibration velocity and acceleration are recorded at speed changes of 71 rpm, 90 rpm, and 140 rpm. The measured data are tabulated and displayed in graphical dependencies. They are used to obtain the information needed to develop a proposal for a solution to the mentioned issue, which is the main objective of this research.

Associated Sensors, Innovative Sensor Deployment furthermore, Intelligent Data Analysis for Online Water Quality Monitoring

Abstract: The sensor innovation for water quality checking (WQM) has improved during late years. The financially savvy sensorised instruments that can independently gauge the fundamental physical - substance and organic (PCB) factors are presently promptly accessible and are being sent on floats, boats and ships. However, there is a distinction between the information quality, information gathering and information examination because of the absence of normalized approaches for information assortment and handling, spatio-fleeting variety of key boundaries in water bodies and new pollutants. Such holes can be spanned with an organization of multiparametric sensor frameworks sent in water bodies utilizing independent vehicles, for example, marine robots and flying vehicles to widen the information inclusion in existence. Further, smart calculations could be utilized for normalized information examination what's more, determining. This paper presents an exhaustive survey of the sensors, sending and examination advancements for WQM. An organization of arranged water bodies could improve the worldwide information interoperability and empower WQM at worldwide scale to address worldwide difficulties connected with food, drinking water, and wellbeing.

A Liquid Metal-Enhanced Wearable Thermoelectric Generator.

It is a key challenge to continuously power personal wearable health monitoring systems. This paper reports a novel liquid metal-enhanced wearable thermoelectric generator (LM-WTEG that directly converts body heat into electricity for powering the wearable sensor system. The gallium-based liquid metal alloys with room-temperature melting point (24~30 °C) and high latent heat density (about 500 MJ/m3) are used to design a new flexible finned heat sink, which not only absorbs the heat through the solid-liquid phase change of the LM and enhances the heat release to the ambient air due to its high thermal conduction. The LM finned is integrated with WTEG to present high biaxial flexibility, which could be tightly in contact with the skin. The LM-WTEG could achieve a super high output power density of 275 μW/cm2 for the simulated heat source (37 °C) with the natural convective heat transfer condition. The energy management unit, the multi-parameter sensors (including temperature, humidity, and accelerometer), and Bluetooth module with a total energy consumption of about 65 μW are designed, which are fully powered from LM-WTEG through harvesting body heat.

IOT Based Covid-19 Patients Health Monitoring System

Currently, the COVID-19 pandemic is one of the major global issues faced by health organizations. As a person enters old age, it becomes increasingly vital for them to undergo standard medical health checkups. Since it may be time-consuming and difficult for most people to get regular health checkup appointments, IoT-based arrangements can be beneficial to individuals for routine health checkups. We are utilizing the internet of things to monitor several characteristics of the patient in this project. The real-time parameters of a patient’s health are transferred to the cloud via Internet connectivity in the patient Monitoring system based on the Internet of things project. These parameters are transmitted to IoT server where people can access them from any point on the planet. We demonstrate a multi-parameter Wearable sensor system that works in tandem with the Internet of Things to provide real-time, unobtrusive Monitoring of core body temperature and heart rate. Clinical study demonstrating the importance of sustaining precise measurements of core heartbeat and body temperature in the ambulatory environment and during Activity to examine human thermoregulation. We use a wireless multisensory system to monitor the temperature of the body as well as the pulse of the heart. The system’s goal is to build a health monitoring system that can quickly measure a variety of health factors

Numerical simulation of optical refractometric sensing of multiple disease markers based on lab-in-a-fiber.

A multi-parameter optical refractometric sensor based on lab-in-a-fiber is proposed and its sensing properties have been investigated. Based on the particular three suspended-core fiber, the sensor has three channels for liquid circulation and three suspended cores for detection. The multiple disease markers can be detected by coating the specific bio-recognition layer on the surface of three channels. The bio-recognition layer thickness, representing the concentration of the disease markers, can then be measured by the wavelength of fiber Bragg grating inscribed in each suspended core. Owing to the triple symmetry of the fiber, the sensitivity of each core is similar. The simulation results show that the grating wavelength linearly changes with the bio-recognition layer thickness variation. Through the sensitivity matrix, the sensitivity of the sensor is 0.362 nm/nm and the sensing accuracy is ± 1 nm.

Double-sided photonic crystal fiber (PCF) temperature and refractive index (RI) sensor based on surface plasmon resonance (SPR)

A double-sided photonic crystal fiber (PCF) temperature and refractive index (RI) sensor based on surface plasmon resonance (SPR) is reported to simultaneously measure temperature and RI. An arc groove covered with gold is filled with chloroform for temperature detection. The D-shaped plane coated with silver is in direct contact with the analyte to provide the RI. Two independent channels distinguish temperature and RI changes, thus completely solving the cross-sensitivity problem. The sensing characteristics of the plane coating, arc coating, and inner ring coating are discussed. The influence of gold film closure on the optimum RI measurement range was identified, and the best sensing structure of chloroform as a temperature-sensitive material is obtained. The sensing characteristics of different types of metal films are investigated. It is concluded that the band separation may be achieved by plating gold film and silver film in the arc groove and D-plane, respectively. The influence of the central angle of the arc groove on the sensor characteristics was investigated. High-order resonance may be avoided at a 180° center angle. The influence of the thickness of the metal film on the sensitivity of the sensor is studied numerically, and the optimal coating thickness is 50 nm. This work simplifies the selection of the RI range of sensing materials and provides a new approach to solve the high-order resonance and band interference in SPR multi-parameter sensors.

Monitoring of silicone adhesive in space solar cells with an embedded multi-parameter TFBG sensor in a simulated space environment

In this research the ageing of a silicone adhesive in a simulated space environment is monitored through an embedded three parameter tilted fibre Bragg grating (TFBG) sensor. Here, the silicone is used as an adhesive between two thin cover glasses, and the space environmental ageing is simulated by thermal cycles in high vacuum conditions (better than 10−5 mbar). These operational conditions can induce variations in the silicone adhesive with respect to its original properties such as dimensional stability, chemical composition, generated contaminants, discoloration and, mechanical or optical degradation. Therefore, surrounded by the adhesive, in the centre of the cover glass sandwich, a weakly tilted FBG sensor was placed to obtain information from its spectra on the state of the polymer during the test. Specifically, the temperature, strain and refractive index (RI) of the silicone can be, simultaneously and separately, measured from the spectrum of a single TFBG from selected resonance peaks. These parameters can be used to evaluate the ‘health’ state of the silicone during the vacuum thermal cycles. The simultaneous TFBG thermomechanical measurements gave a solution to the non-localized measuring issues when using classical fibre optic or electrical strain-gauges and a thermocouple to compensate the temperature and to better understand the material behaviour. The trends of the measured parameters are reported during the entire testing time, and at the end of the test, the optical fibre sensor measured a negative strain of ∼100 μϵ and a positive RI variation of ∼0.002.