[go: up one dir, main page]

Next Article in Journal
DataSpoon: Validation of an Instrumented Spoon for Assessment of Self-Feeding
Next Article in Special Issue
Combined Long-Period Fiber Grating and Microcavity In-Line Mach–Zehnder Interferometer for Refractive Index Measurements with Limited Cross-Sensitivity
Previous Article in Journal
High Sensitivity Refractive Index Sensor Based on the Excitation of Long-Range Surface Plasmon Polaritons in H-Shaped Optical Fiber
Previous Article in Special Issue
Performance Analysis of a Lower Limb Multi Joint Angle Sensor Using CYTOP Fiber: Influence of Light Source Wavelength and Angular Velocity Compensation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Optical Fiber Temperature Sensors and Their Biomedical Applications

1
CIDESD (ISMAI), N2i (IPMAIA), LABIOMEP (Porto Biomechanics Laboratory), 447-690 Maia, Portugal
2
INESC TEC—Institute for Systems and Computer Engineering, Technology and Science, Rua do Campo Alegre 687, 4169-007 Porto, Portugal
3
Department of Physics and Astronomy, Faculty of Sciences of University of Porto, Rua do Campo Alegre 687, 4169-007 Porto, Portugal
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 2113; https://doi.org/10.3390/s20072113
Submission received: 12 March 2020 / Revised: 3 April 2020 / Accepted: 5 April 2020 / Published: 9 April 2020
(This article belongs to the Special Issue Optical Fiber Sensors for Biomedical Applications)
Figure 1
<p>Schematic of a Bragg grating structure.</p> ">
Figure 2
<p>(<b>a</b>) Extrinsic and (<b>b</b>) intrinsic Fabry-Perot interferometer sensor, with reflectance <span class="html-italic">R<sub>1</sub></span> and <span class="html-italic">R<sub>2</sub></span>, separated by a determined distance, <span class="html-italic">L.</span> The supporting structure in (<b>a</b>) was partially removed.</p> ">
Figure 3
<p>Schematic configuration of the single-mode-multimode-single-mode fiber structure.</p> ">
Figure 4
<p>Schematic drawing of the temperature sensor proposed by Wolthuis et al. (Adapted from [<a href="#B109-sensors-20-02113" class="html-bibr">109</a>].)</p> ">
Figure 5
<p>Schematic drawing of the temperature sensor proposed by Rao and Jackson. A stainless steel tube was made transparent to allow component visualization. (Adapted from [<a href="#B127-sensors-20-02113" class="html-bibr">127</a>].)</p> ">
Figure 6
<p>Schematic drawing of the temperature sensor proposed by Rao et al. (Adapted from [<a href="#B108-sensors-20-02113" class="html-bibr">108</a>].) A nylon sleeve was made transparent to allow component visualization.</p> ">
Figure 7
<p>Schematic drawing of the temperature sensor proposed by Cennamo et al. (Adapted from [<a href="#B138-sensors-20-02113" class="html-bibr">138</a>].)</p> ">
Figure 8
<p>The probe of fiber temperature (Adapted from [<a href="#B145-sensors-20-02113" class="html-bibr">145</a>].)</p> ">
Figure 9
<p>Schematic drawing of the structures of the nasal-cavity and abdomen-attached fiber-optic sensors (Adapted from [<a href="#B146-sensors-20-02113" class="html-bibr">146</a>].)</p> ">
Versions Notes

Abstract

:
The use of sensors in the real world is on the rise, providing information on medical diagnostics for healthcare and improving quality of life. Optical fiber sensors, as a result of their unique properties (small dimensions, capability of multiplexing, chemical inertness, and immunity to electromagnetic fields) have found wide applications, ranging from structural health monitoring to biomedical and point-of-care instrumentation. Furthermore, these sensors usually have good linearity, rapid response for real-time monitoring, and high sensitivity to external perturbations. Optical fiber sensors, thus, present several features that make them extremely attractive for a wide variety of applications, especially biomedical applications. This paper reviews achievements in the area of temperature optical fiber sensors, different configurations of the sensors reported over the last five years, and application of this technology in biomedical applications.

1. Introduction

Requests for detection of environmental changes through physical, chemical, or biological parameters have grown rapidly over the last decades. There is great interest, not only in the scientific community, but also in the industry, in developing new sensing devices based on optical fibers, in an effort to exploit their intrinsic characteristics and find new application fields. In order to compete with conventional sensors, these sensors need to be trustworthy, robust, highly sensitive, and affordable.
Various techniques are being developed in response to the increased need for non-destructive techniques that can monitor environments that are difficult to access; some of the most promising ones are based on optical fiber sensors (OFSs). The ability to have small devices physically near the objects or media being sensed brings about new opportunities; for example, in structural monitoring and industrial or pharmaceutical applications [1]. Considering their distinct working principles, there are several types of OFSs, which normally are separated into two classes: (i) extrinsic, where the optical fiber is only a medium to convey light to and from a separate element or space, and (ii) intrinsic, where the optical fiber constitutes the sensing element [2].
The advantages of using OFSs are well known—small dimensions, capability of multiplexing, chemical inertness, and immunity to electromagnetic fields. Furthermore, these sensors usually present good linearity, rapid response for real-time monitoring, and high sensitivity. Thus, OFSs present several features that make them highly sensitive to external perturbations and allow them to be embedded in materials [3], which is attractive in a wide variety of applications, namely in the medical, aerospace, and wind energy industries. They have also been applied in the oil and gas industry, taking advantage of distributed sensing capability, and in several fields, such as electrical engineering, materials science, biology, chemistry, physics, and optics [4]. There is no doubt that depending on the application and parameter or configuration for which the sensors are developed, the possibilities are huge [5,6]. Currently, the fiber sensing field is immense, and there is a wide variety of methods to classify the sensors, according to:
The application: temperature, strain, displacement, current, magnetic fields, pressure, torsion, bending, vibration, humidity, lateral load, refractive index, detection of bio-molecules or chemical species [4].
The measurable spatial scope: point sensors, quasi-distributed sensors, and fully distributed sensors [6].
The modulation process: intensity, phase, state of polarization, and wavelength shift (frequency) [4].
The working principle: optical fiber gratings (fiber Bragg grating (FBG), chirped fiber Bragg grating, tilted fiber Bragg grating (TFBG) and long period grating), interferometry (Fabry-Pérot (FP), Mach-Zehnder, Michelson, Sagnac, high birefringence fiber loop mirror sensors, and multimode interferometer) [7,8,9,10], distributed sensors (Raman scattering, Rayleigh scattering and Brillouin scattering) [8], or polarization-optical time domain reflectometry sensors [11,12].
The characteristics mentioned earlier make temperature monitoring using optical fibers very interesting. Diverse temperature sensors based on optical fibers have been projected over the last few years [13,14,15]. These optical sensing platforms are aligned to different techniques, such as FBG [16,17], Surface Plasmon Resonance (SPR) [18,19], side-polished fibers [20,21], photonic crystal fibers (PCF) [22,23,24], fiber FP interferometers [25,26,27,28,29], and tapered fibers [30,31]. Of the two types of fibers—glass and plastic optical fiber (POF) [32,33] is considered particularly advantageous owing to its excellent flexibility, easy handling, great numerical aperture, large diameter, and the fact that plastic is able to resist smaller bend radii more than glass [33,34].
A few of these technologies will be addressed specifically.

1.1. Fiber Bragg Grating

In 1978, Kenneth O. Hill reported the first work on FBGs and their applications, both in optical communications and optical sensor systems [35]. Since then, this type of sensors has been widely applied in the measurement of different parameters, such as physical, chemical, clinical, biomedical and electrical parameters in the energy, aerospace and civil fields. They are simple, intrinsic sensing elements, which can be photo-inscribed into silica fiber and offer all the advantages associated with fiber optic sensors. Typically, a FBG sensor can be seen as a selective photo-induced modulation of the optical fiber core refractive index. The FBG resonant wavelength (Bragg wavelength), λB, is related to the effective refractive index of the core mode (neff) and the grating period (Λ), according to Equation (1) [36]:
λ B = 2 n e f f Λ
When the grating is illuminated by a broadband optical source, the reflected spectrum presents a sharp peak, which is caused by interference of light with the planes of the grating. Any perturbation on the grating (e.g., external strain or temperature variation) results in a shift in the Bragg wavelength, which can be detected either in the reflected or transmitted spectra [6]. See Figure 1.

1.2. Fabry-Pérot Interferometers

Interferometric optical fiber sensors are based on the principle of optical interference for the measurement of chemical or physical properties. These sensors can be an excellent solution for sensing because they can exhibit high sensitivity compared to FBGs, a wide dynamic range, multiplexing capacity, and low losses [37].
One of the first works published on a fiber optic sensor based on FP interferometry was in 1982 by Yoshino [38]. Since then, rapid evolution has occurred in the field. FP interferometers are normally constituted of two parallel reflecting surfaces, with reflectance R1 and R2, separated by a determined distance, L, as exemplified in Figure 2 [39]. The FP interferometer can be developed by intentionally building up reflectors externally to the fibers (Figure 2a), or internally (Figure 2b), being classified into two categories: extrinsic and intrinsic sensors [40,41].
In the case of extrinsic sensors, air cavity can be formed through a supporting structure, such as the one shown in Figure 2a. These sensors are advantageous for obtaining high finesse interference signals [42], bearing in mind that high reflecting mirrors may be used, although the manufacturing process is simple and no expensive equipment is needed. However, they have reduced coupling efficiency, and careful and precise alignment is required [43].
The intrinsic FP interferometer fiber sensor has reflecting components within the fiber itself. There are several ways to form this type of sensor, such as micro machining [44,45,46,47], by using two FBGs in series [48,49], through chemical etching [50,51,52], by thin film deposition [53,54,55], using special fibers [56,57], or even creating an air bubble in fibers [58,59]. In the simplest form, when the cavity has low-reflectivity mirrors, it can be approximated to a two-wave interferometer. In such cases, the reflection spectrum is essentially determined by the phase difference, δFP, between the waves generated in the two reflections [59], which is described by:
δ F P = 4 π n L F P λ
where, n, LFP, and λ are the effective refractive index of the cavity material, the physical length of the cavity, and the wavelength of incident light, respectively. When there is an external perturbation, such as variation of strain, temperature, or other parameters detectable by the sensors, both the cavity length and effective refractive index are able to change, translating into a shift of phase difference. This shift can be easily monitored by using a suitable interrogation system [39,59]. Table 1 presents the main characteristics of the different intrinsic FP sensors used for temperature measurements reported over the last five years in the literature.

1.3. Multimode Fiber Interferometers Sensors

A scheme of a typical multimode fiber interferometer (MMI) sensor is presented in Figure 3, where a section of the multimode fiber (MMF) is sandwiched between two single-mode fibers (SMFs) [78]. This is the so-called single-mode-multimode-single mode (SMS) fiber structure; however, MMIs can also be obtained using a single-mode-multimode fiber configuration [79]. It has a series of advantages that allows it to be used as a sensor—simple structure, low cost, small size, and high stability. Some of the parameters that have been monitored with this kind of sensor are strain and temperature [80], displacement [81], refractive index [82], and microbend [83].
The subjacent operating principle of this kind of sensor is the MMI excitation between modes in the MMF section, which can be influenced by external perturbations [84,85], i.e., the fundamental mode that propagates along the SMF will couple into the MMF, exciting many modes, each of which has a different propagation constant [6]. After passing through the multimode section, they reconnect to the SMF. Since each mode has already experienced a different phase shift, the modes interfere.
The main configurations of the MMI structures are simple and enable the detection of a change in the refractive index of the surrounding medium, i.e., due to the high interaction of the evanescent field with the external environment. The manufacturing of new concepts of MMIs can be greatly enhanced through the combination of fiber optics with nano-structure technology and the use of sensitive thin films [86,87,88,89]. Sensors based on MMI, allied with the functionalization with thin films as sensitive elements, could open new fields for optical fiber sensor applications. Functional materials can be deposited on the side- or end-face of fibers with different techniques, such as spin-coating, dip-coating, thermal evaporation, or sputtering [90]. The use of polymeric sensitive materials in optical fiber sensors has the advantage of enhanced response time with better sensitivity and selectivity [6,91]. Table 2 reports the main configurations for temperature parameter using MMI sensors reported over the last five years.

2. Biomedical Optical Fiber Temperature Sensors

In clinical practice, patient temperature is a basic diagnostic procedure and often a critical control parameter, as in hyperthermia therapy [106]. Almost all chemical processes and reactions are temperature dependent, justifying temperature sensors as the largest class of commercially available OFS. Nevertheless, they are quite few compared to the large number of schemes that have been proposed but never reached commercialization [107]. Thermocouple and thermistor devices have been extensively used for temperature measurements in clinical practice. However, due to the presence of metallic conductors, they are inappropriate for clinical procedures involving incident radio frequency (RF), EM or microwave (MW) fields [108,109,110]. To overcome these limitations, fiber optic fluorescent techniques have been proposed. The fluoroptic technology uses fluorescent materials, such as rare-earth phosphors or gallium arsenide (GaAs), and an adequate light source to excite them. Temperature can be determined by measuring fluorescence emission decay times in the fluoroptic probes [111,112,113,114]. Solid state materials can also be used for fluorescence thermometry and some schemes have been presented for biomedical purposes, using the ruby [111,115] and the trivalent-chromium ion doped material [116]. An excellent review of fluorescent intensity, the first technique being proposed, and fluorescence lifetime based systems was published by Grattan and Zhang [107].
The Luxtron m3300 is a currently available fluoroptic system that can be used in biomechanical and biomedical laboratory settings (LumaSense Technologies, Santa Clara, CA, USA). Its non-metallic probe has a phosphorescent sensor localized at the probe tip and can provide real-time temperature measurements, ranging from 0 °C to 120 °C, with an accuracy of ±0.2 °C and 2 °C, respectively [117]. The probe has a 0.5 mm outer diameter (OD) and is protected with a Tefzel® ethylene-tetrafluoroethylene (ETFE) fluoropolymer jacket allowing its use in magnetic resonance imaging (MRI), radio frequency (RF), or microwave (MW) environments and during ablation procedures [118,119]. A reported limitation of the Luxtron fluoroptic probe is its propensity to record higher temperatures compared to reference thermocouples sensors [120]. This was observed under localized heating at distances less than 4 mm from the laser source [120]. The T1™ Fiber Optic Temperature Sensor (Neoptix, Inc., Québec, QC, Canada) is also a commercially available OFS based on a GaAs semiconductor crystal located in the tip of the sensor. Sensor specifications include a temperature range from −272 °C to +250 °C, an accuracy of ±0.2 °C, a resolution of 0.1 °C, and a response time of 500 ms [121]. The outer protective jacket is made of polytetrafluoroethylene (PTFE) Teflon™ with 1.15 mm OD. It has been used to monitor temperature during cryogenic [122] and laser ablation procedures [123,124] as well as in non-incineration methods for sterilizing hospital infectious wastes [125]. Unfortunately, fluorescent materials are relatively bulky and expensive, which increases the cost of these systems [109].
Interferometric technology was explored by Wolthuis et al. [109], who presented a FP temperature sensor based on a LED-microshift method (Figure 4). It consisted of a light emitting diode (LED) light source, used to interrogate changes in optical cavity depth occurring between two reflectance peaks, and of a dichroic ratio technique used to analyze the returned signal [126]. The authors argued that the method was more sophisticated than others involving FP sensors, such as incremental, intensity, white-light, and LED-deep cavity. The optical cavity consisted of a thin layer of silicon packed between two pieces of glass. Temperature variations cause the silicon refractive index to change and, consequently, the light being reflected. Sensor performance fulfilled (American Association for Medical Instrumentation) AAMI specifications presenting a span linearity of 1% and sensitivity of 0.1% ratio change per °C. Temperature resolution and accuracy were 0.2 °C (0.02 °C with averaging) and 0.1 °C, respectively, for a measurement range from ~15 to ~55 °C. The sensor was able to reach 90% of its final value for a temperature change from ice to boiling water in about 200 ms [109]. RJC Enterprises, LLC (Bothell, WA, USA) is commercializing this type of sensor with some possibilities of customization (e.g., total assembly length and capillary pedestal length).
An interferometric configuration was also applied by Rao and Jackson [127] to propose a high-resolution temperature sensor (Figure 5). It consisted of a miniature extrinsic fiber optic-based Fizeau temperature sensor, with a cavity length of several hundred microns and a dual-wavelength pseudo-heterodyne phase detection scheme. A measurement resolution of 0.006 °C, a 1% span linearity over a temperature range of 27.3 to 62.5 °C, and a bandwidth of 30 Hz were achieved. To get temperature independent measurements, two FBG sensors located in a bimetallic beam were monitored interferometrically. Sensor performance meets or exceeds medical requirements but, to our best knowledge, it is not being marketed.
Previously mentioned sensors are point sensors, i.e., they provide information only at the site they are placed and may be insufficient for a more complete clinical assessment. Multiplexing techniques using FBG sensors can contribute to overcoming this spatial constraint. The first configurations for medical use were proposed by Rao et al. [108] and Rao [128], consisting of an array of four in-line FBG (4 mm length each and 10 mm spaced) and a simple monochromator for demultiplexing the wavelength encoded signals (Figure 6). Wavelength-shifts induced by temperature variations were measured using a high-resolution drift-compensated interferometric detection scheme, based on a bulk unbalanced Michelson interferometer. To minimize strain effects, the probe end was sealed with a nylon sleeve of 1 mm OD. A resolution of 0.1 °C and an accuracy of ±0.2 °C, over a temperature range of 30 °C to 60 °C, were achieved in bench tests [129].
The above sensor was proposed for in vivo temperature monitoring during tumor therapy; in vivo trials occurred later using a similar configuration that was proposed by the same research group (Applied Optics Group, The University Canterbury, Kent, UK) [130]. A portable sensing unit with five in line FBGs was used. The source was a super luminescent diode (SLD) and the detector a miniature charge-coupled device (CCD) based spectrometer. Sensor resolution was 0.2 °C. This type of sensor was used to monitor hyperthermia treatments of the kidney and liver of rabbits [130,131]. Nevertheless, it was not applied in clinical settings because a nonlinear response of some FBG sensors and an initial system calibration drift exceeding 10 °C was reported [132]. To overcome these limitations, a polymer coated FBG (PFBG) probe was proposed [132]. It consisted of a 0.5 mm OD prototype with 10 FBG sensors at 5 mm intervals and 50 mm length. The PFBG sensor closely followed the behavior of well-established commercial hyperthermia thermometry probes. A swept wavelength laser-based readout system was capable to achieve 0.1 °C precision, while maintaining a better than 0.5 °C stability over 10 h and an absolute measurement accuracy of ±0.25 °C [132]. The sensor was tested only under simulated MW hyperthermia treatment to a tissue equivalent phantom.
The potentialities of other coating materials were explored in both MRI environments and cryoablation procedures. Samset et al. [133] were able to observe the dynamics of the freezing process during in vivo cryoablation of a porcine liver in a MRI room. Two multiplexed FBG array probes were used—one coated with polyimide (1.25 OD), the other with titanium (1.40 mm OD). The materials were considered biocompatible, sterilizable, and immune to EM interference. The probes exhibited excellent mechanical stability under cooling (−195.8 °C), hitting over a sharp edge, and bending to a radius of 20 mm at body temperature. The sensor, with 10 in-line FBGs, was calibrated for temperature through immersion in liquid nitrogen (−195.8 °C), ice slush (0 °C), and boiling water (100 °C). A reference platinum thermos resistance (Pt-100) was used to obtain the wavelength to temperature conversion parameters. Temperature measurements performed during prostate cancer cryosurgery confirmed FBG sensor thermometry potentialities for clinical applications [134,135]. A commercial reusable multiplexed FBG temperature monitor system was used (TMS, MultitempTM 1601, InvivoSense, Trondheim, Norway). Ultrafine 17 gauge needles were used to guide the sensor to the target tissue and temperatures were measured in four and eight FBG sensors with 10 mm and 5 mm distance intervals, respectively. Temperatures of about −40 °C or −60 °C were attained during the cryosurgery treatments, which are in the range (−100 °C and +130 °C) of these FBG multiplexed sensors.
The use of FBG arrays or other spatially distributed sensing techniques (e.g., modal modulation techniques) is also emerging for healthcare applications, namely for distributed body temperature monitoring using FBGs arrays. Martin et al. [136] proposed the use of FBG sensors to measure and monitor patient body temperature non-intrusively on a smart bedsheet. The use of FBG sensors allows a smart bedsheet to have the look and feel of a conventional bedsheet since FBG sensors have a very thin and light linear geometry. Additionally, they are dielectric in nature and have total immunity to electromagnetic and radio frequency (RF) interferences.
FBG sensors also prove to be useful in the field of prosthesis design and testing, namely, to measure polymerization temperature profiles of cemented hip mantles [137]. Peak temperatures of 110 °C reached within 300 s and stabilized to room temperature after 3600 s were measured with a resolution of 1 με and precision of ±5 με.
Cennamo et al. [138] presented a novel optical temperature sensor in a multimode plastic optical fiber with a polymethyl-methacrylate (PMMA) core of 980 μm, having a silicone layer (fluorinated polymer cladding of a 20 μm) deposited around the fiber tip for hyperthermia in cancer treatment (the optical fiber sensor is especially suited for minimally invasive measurement of local tissue temperature). This approach is dedicated to a portable temperature-sensing platform centered on low-cost, small size, and easy-to-use configuration (Figure 7). In this configuration, the silicone layer is extremely vital to monitor the temperature of the medium, since without it, the sensing structure is sensitive to the refractive index of the medium itself. Besides, in the hyperthermia treatment, the biocompatible silicone layer also contributes to minimally invasive measurement of local tissue temperature. A simple experimental setup, based on a halogen lamp as light source and two spectrum analyzers (one for the signal and the other for the reference) is used to monitor the sensor’s response at different wavelengths (652 nm and 736 nm). The proposed sensor behaves differently when the wavelength changes. The fiber temperature sensor proposed could be used to monitor temperatures in hyperthermia treatment, in the desired 35 to 45 °C range, with a resolution of about 0.1 °C.
Recently, the use of hyperthermia—a technique that exploits heat to alter the biological state of tumors—as adjuvant therapy has been shown to increase the efficiency of the treatment. Through controlled elevation of tumor temperature, tumor physiology, including oxygenation and blood flow, can be altered. This control of the tumor micro-environment, allows the clinician to better plan and carry out the therapy.
It is known that the temperature is one of the vital signs and a crucial and routinely monitored parameter in medicine, which is measured using a variety of technologies [139] in all clinical settings, including surgeries, oncology treatment, and intensive care units [140]. In healthcare, the temperature sensing requirements are application dependent, but generally, a temperature range of 35–45 °C with a resolution of at least 0.1 °C is required [141].
The required response time of the temperature sensor is also application dependent [142]. For some thermal treatment procedures, such as high-intensity focused ultrasound ablation, the coagulative temperature (43.5–57.0 °C) is reached in less than 30 s [143], while for laser ablation, this can lie between 5 and 15 min [143].
Wu et al. [144] proposed a fluorescence optic-fiber sensor particularly adapted to the field of biomedicals in the range of 20 °C to 50 °C, based on modulated phase-locked detection (PLD) with pulse modulation signal references (PMSR). The probe of the detection system is composed of an optical system used to excite and transmit fluorescence and an electronic system used to probe and process the fluorescence signals. This probe is placed in a pure silicone catheter, which is to be planted at the location of the prostate. To monitor the temperature of the tissue under radiofrequency treatment, the temperature probe is placed in the catheter along with the radiofrequency treatment. The temperature probe is depicted in Figure 8. The volume of the LiSrAlF6: Cr3+ sample used was circa 0.3 × 0.2 × 0.3 mm3; nevertheless, this specific size is not critical.
Wook et al. [145] proposed two types of non-invasive optical fiber respiration sensors (Figure 9) that can measure respiratory signal during magnetic resonance image acquisition. These sensors were based on thermo-chromic material deposited onto the tip of plastic optical fiber for respiratory monitoring inside an MRI system. The reported sensors have two different applications; one of them was a nasal-cavity attached sensor that can measure the temperature variation of air-flow using a thermochromic pigment, and the other one, was an abdomen attached sensor that can measure abdominal circumference change using a sensing part composed of polymethyl-methacrylate tubes, a mirror, and a spring. They measured the modulated light guided towards the detectors in the MRI control room via optical fibers due to the respiratory movements of the patient in the MR room; the respiratory signals of the optical fiber respiration sensors are compared with those of the BIOPAC® system. The authors verified that respiratory signals can be obtained without deteriorating the MR image. The intensity of the reflected light was changed by the variation of the distance between the mirror and the distal end of the plastic optical fiber according to abdominal movement.
Tosi et al. [146] proposed a FBG array-based sensing probe installed on a device for radiofrequency thermal ablation (RFTA). The probe was made of five FBGs with 0.5 cm active area and 1 cm spacing, to provide quasi-distributed thermal pattern measurements. Multiple experiments have been conducted on porcine liver, reporting a temperature pattern along the ablation axis. Thermal maps allowed quantifying of the exposure of each part of the tissue to the high temperature field and provided a comparison between different procedures. The achieved results showed the possibility of embedding FBG arrays on ablation devices in order to dynamically estimate the efficiency of the procedure and predict the ablation output. Such results have significant importance for hepatic tumors, in which the electrical properties of the liver limit the RFTA to tumors up to ~3 cm in size.
The same team [147], in a similar work, proposed a distributed temperature sensor (DTS) with a submillimeter spatial resolution for the monitoring of RFTA in porcine liver tissue. The DTS demodulates the chaotic Rayleigh backscattering pattern with an interferometric setup to obtain the real-time temperature distribution. A measurement chamber has been set up with the fiber crossing the tissue along different diameters. Several experiments have been carried out measuring the space-time evolution of temperature during RFTA. The work showed cases that had temperature monitoring in RFTA with unprecedented spatial resolution and that which can be exportable to in vivo measurements; the acquired data can be particularly useful for the validation of RFTA computational models.
Ding et al. [148] and Chen et al. [149] proposed one of the first applications of FBG for thermometry in laser ablation; they developed a distributed FBG sensor with length of 10 mm, encapsulated within a glass capillary, and used it to monitor temperature distribution in an ex vivo liver and an in vivo mouse. The authors assumed that uniform grating turns into chirped grating in a non-uniform temperature field. The algorithm implemented was useful to dynamically control the temperature of the target at 43 °C; the temperature at the edge and outside the target at 38 °C. FBGs also have been included in numerous studies involving temperature monitoring during cryoablation. The research team of Samset started working on the development of FBG sensors for temperature monitoring in tissues undergoing cryoablation, and afterwards used this sensor to calibrate MR thermometry [150]. The distributed sensor was an optical fiber (cladding diameter 125 µm) embedding 10 FBGs. The center-to-center separation between the sensing elements was 6.5 mm and thus the total length of the sensor array was 58.5 mm. Two arrays were fabricated and mounted inside polyimide and titanium tubes, both materials having magnetic susceptibility close to that of the tissue, with a total outer diameter of 1.4 mm. The sensor was calibrated in the range −189.5 °C to 100 °C. Mechanical stability and MRI compatibility were acceptable, allowing routine use.
Zou et al [151] proposed a miniature fiber optic temperature sensor based on the FP interferometric principle, which was specifically designed, fabricated, packaged, and tested for intravascular blood temperature measurements during thermal angioplasty. The FP fiber optic sensor was fabricated by using chemical etching and thermal deposition, and compared with other fiber optic temperature sensors. The FP fiber optic sensor was notable for its remote-sensing capability and high-spatial resolution point measurement. An in-vivo experiment was performed by using a swine model. During the animal test, intravascular blood temperature was obtained at different locations in the coronary artery to demonstrate the capability of the fiber optic sensor. In order to demonstrate the sensor’s usage in angioplasty applications, the rise and drop of local intravascular blood temperatures were successfully captured by the fiber optic sensor.
Najafi et al. [152] proposed and tested SmartSox, designed and made by Novinoor LLC (Wilmette, IL, USA), which is based on highly flexible fiber optics embedded in a comfortable standard sock, in patients with diabetic peripheral neuropathy. Using an optical amplifier and signal processing, SmartSox used five embedded highly flexible and thin (<0.3 mm) fiber optic sensors based on fiber Bragg gratings (FBGs) that were woven into a comfortable sock to measure plantar temperature and pressure under the first metatarsal head (MTH), fifth MTH, midfoot, and hind foot. This allows simultaneous measurements of temperature, plantar pressure, and toes range of motion, which makes it suitable for objectively assessing lower extremity regions at risk. The authors of this work found a moderate agreement in foot temperature changes between SmartSox and an infrared thermal camera [153].
Fook et al. [154] presented a novel approach of using fibers to provide the actual sensors itself used Internet of Things (IoT) applications developed to assist medical staff in caring for residents in nursing homes. Specially designed and packaged highly sensitive FBG-based optical fiber sensors are developed for use in a monitoring and alert system that oversees residents continuously without disturbing them, and automatically alerts medical staff during emergencies through mobile devices such as mobile phones or tablets [155]. The system is able to monitor temperature and detect the onset of high fever in residents. An IoT FBG-based sensor button was also developed to allow the residents to call or alert medical staff when necessary. The monitoring and alert system was primarily based on FBG technology. Using FBG technology, uniquely designed FBG sensors are packaged into IoT devices such as IoT sensor mat, IoT thermometer, and IoT button. They term the packaged Fiber-based IoT sensors as F-IoT devices because they used fibers to provide the actual sensors itself. In this kind of project, the sensitivity of the sensor mat can be adjusted based on sensor design, number of sensors, placement, and packaging material. A sleeve-based FBG design was selected by the authors due to its robustness and high sensitivity. Eight sensors were used and placed into two rows. The authors of this work took into account user comfort when designing the mat. The FBG sensor array was packaged onto a polycarbonate sheet. The final packaged IoT sensor mat was placed on top of mattresses to monitor vital parameters of residents in nursing homes.

3. Final Remarks

This paper reviewed achievements in the area of temperature optical fiber sensors, where different configurations of the sensors reported from 2015 to 2020 were presented and their possible potential for biomedical applications studied.
In view of this review article, we can mention that the use of FBG sensors and spatially distributed sensing techniques is assuming high relevance for non-intrusive monitoring of temperature and other clinically relevant parameters, since they retain the mechanical stability of the optical fiber and also avoid referencing issues.
Temperature is a vital sign and a crucial and habitually monitored parameter in medicine; it is measured using a variety of technologies in all clinical settings, including surgeries, oncology treatment, and intensive care units.
Thermocouple and thermistor devices are widely used for temperature measurements in clinical practice. However, due to the presence of metallic conductors, they are inappropriate for clinical procedures involving, for instance, incident radio frequency or microwave fields. Thus, it is important that new optical fiber technologies are developed, preferably portable temperature sensing platforms that offer low costs, small sizes, and easy-to-use configuration; and can use artificial intelligence for faster data analysis.
The main advantages of optical fiber sensors for medical solutions are their small dimensions, chemical inertness, immunity to electromagnetic fields, rapid response for real-time monitoring, and ability to be embedded into materials.

Author Contributions

P.R., S.S., O.F., and S.N., proposed the ideas, wrote, reviewed, and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

This work was financed by the ERDF—European Regional Development Fund—through the Operational Programme for Competitiveness and Internationalization—COMPETE 2020 Programme and by National Funds through the Portuguese funding agency, FCT—Fundação para a Ciência e a Tecnologia within project ENDOR—Endoscope based on New Optical Fiber Technology for Raman Spectroscopy (POCI-01-0145-FEDER-029724).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Novais, S. Optical Fiber Sensors for Challenging Media. Ph.D. Thesis, University of Aveiro, Aveiro, Portugal, 2019. [Google Scholar]
  2. Udd, E.; Spillman, W.B. Fiber Optic Sensors: An Introduction for Engineers and Scientists; John Wiley Sons: New York, NY, USA, 2011. [Google Scholar]
  3. Hisham, H.K. Optical Fiber Sensing Technology: Basics, Classifications and Applications. Am. J. Remote Sens. 2018, 6, 1–5. [Google Scholar] [CrossRef]
  4. Fidanboylu, K.; Efendioglu, H.S. Fiber optic sensors and their applications. In Proceedings of the 5th International Advanced Technologies Symposium, Karabuk, Turkey, 13–15 May 2009. [Google Scholar]
  5. Kersey, A.D. A review of recent developments in fiber optic sensor Technology. Opt. Fiber Technol. 1996, 2, 291–317. [Google Scholar] [CrossRef]
  6. Joe, H.E.; Yun, H.; Jo, S.H.; Jun, M.B.G.; Min, B.K. Review on optical fiber sensors for environmental monitoring. Int. J. Precis. Eng. Manuf.-Green Technol. 2018, 5, 173–191. [Google Scholar] [CrossRef]
  7. Lee, C.E.; Taylor, H.F.; Markus, A.M.; Udd, E. Optical-fiber Fabry-Pérot embedded sensor. Opt. Lett. 1989, 14, 1225–1227. [Google Scholar] [CrossRef] [PubMed]
  8. Raffaella, D.S. Fibre optic sensors for structural health monitoring of aircraft composite structures: Recent advances and applications. Sensors 2015, 15, 18666–18713. [Google Scholar]
  9. Frazão, O.; Baptista, J.M.; Santos, J.L. Recent advances in high-birefringence fiber loop mirror sensors. Sensors 2007, 7, 2970–2983. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Dong, B.; Wei, L.; Zhou, D.P. Miniature high-sensitivity high-temperature fiber sensor with a dispersion compensation fiber-based interferometer. Appl. Opt. 2009, 48, 6466–6469. [Google Scholar] [CrossRef] [Green Version]
  11. Juarez, J.C.; Taylor, H.F. Polarization discrimination in a phase-sensitive optical time-domain reflectometer intrusion-sensor system. Opt. Lett. 2005, 30, 3284–3286. [Google Scholar] [CrossRef]
  12. Juarez, J.C.; Taylor, H.F. Field test of a distributed fiber-optic intrusion sensor system for long perimeters. Appl. Opt. 2007, 46, 1968–1971. [Google Scholar] [CrossRef]
  13. Hoffmann, L.; Müeller, M.S.; Krämer, S.; Giebel, M.; Schwotzer, G.; Wieduwilt, T. Applications of fibre optic temperature measurement. Proc. Estonian Acad. Sci. Eng. 2007, 13, 363–378. [Google Scholar]
  14. Li, X.; Lin, S. Fiber–optic temperature sensor based on difference of thermal expansion coefficient between fused silica and metallic materials. IEEE Photonics J. 2012, 4, 155–162. [Google Scholar]
  15. Hernández-Romano, I.; Cruz-Garcia, M.A.; Moreno-Hernández, C.; Monzón-Hernández, D.; López-Figueroa, E.O.; Paredes-Gallardo, O.E.; Torres-Cisneros, M.; Villatoro, J. Optical fiber temperature sensor based on a microcavity with polymer overlay. Opt. Express 2016, 24, 5654–5661. [Google Scholar] [CrossRef] [PubMed]
  16. Kou, J.; Qiu, S.; Xu, F.; Lu, Y. Demonstration of a compact temperature sensor based on first-order Bragg grating in a tapered fiber probe. Opt. Express 2011, 19, 18452–18457. [Google Scholar] [CrossRef] [PubMed]
  17. Jung, J.; Nam, H.; Lee, B.; Byun, J.O.; Kim, N.S. Fiber Bragg grating temperature sensor with controllable sensitivity. Appl. Opt. 1999, 38, 2752–2754. [Google Scholar] [CrossRef] [PubMed]
  18. Zhao, Y.; Deng, Z.Q.; Hu, H.F. Fiber-optic SPR Sensor for temperature measurement. IEEE Trans. Instrum. Meas. 2015, 64, 3099–3104. [Google Scholar] [CrossRef]
  19. Luan, N.; Wang, R.; Lv, W.; Lu, Y.; Yao, J. Surface plasmon resonance temperature sensor based on photonic crystal fibers randomly filled with silver nanowires. Sensors 2014, 14, 16035–16045. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Lee, D.R.; Jang, S.W.; Kwon, D.H.; Kang, S.W. Side-polished fiber optic temperature sensor using a prism and fiber-to-planar waveguide coupler. Microw. Opt. Technol. Lett. 2005, 46, 523–525. [Google Scholar] [CrossRef]
  21. Jung, W.G.; Kim, S.W.; Kim, K.T.; Kim, E.S.; Kang, S.W. High sensitivity temperature sensor using a side-polished single-mode fiber covered with the polymer planar waveguide. IEEE Photonics Technol. Lett. 2001, 13, 1209–1211. [Google Scholar] [CrossRef]
  22. Zou, L.; Bao, X.; Chen, L. Distributed brillouin temperature sensing in photonic crystal fiber. Smart Mater. Struct. 2005, 14, S8. [Google Scholar] [CrossRef]
  23. Ju, J.; Jin, W. Photonic crystal fiber sensors for strain and temperature measurement. J. Sens. 2009, 2009, 476267. [Google Scholar] [CrossRef] [Green Version]
  24. Coviello, G.; Finazzi, V.; Villatoro, J.; Pruneri, V. Thermally stabilized PCF–based sensor for temperature measurements up to 1000 °C. Opt. Express 2009, 17, 21551–21559. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Li, C.; Liu, Q.; Peng, X.; Fan, S. Analyzing the temperature sensitivity of Fabry–Pérot sensor using multilayer graphene diaphragm. Opt. Express 2015, 23, 27494–27502. [Google Scholar] [CrossRef] [PubMed]
  26. Lee, C.L.; Lee, L.H.; Hwang, H.E.; Hsu, J.M. Highly sensitive air– gap fiber Fabry–Pérot interferometers based on polymer–filled hollow cathode fibers. IEEE Photonics Technol. Lett. 2012, 24, 149–151. [Google Scholar] [CrossRef]
  27. Li, X.; Shao, Y.; Yu, Y.; Zhang, Y.; Wei, S. A highly sensitive fiber– optic Fabry–Pérot interferometer based on internal reflection mirrors for refractive index measurement. Sensors 2016, 16, 794. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Kim, D.W.; Shen, F.; Chen, X.; Wang, A. Simultaneous measurement of refractive index and temperature based on a reflection mode long–period grating and an intrinsic Fabry–Pérot interferometer sensor. Opt. Lett. 2005, 30, 3000–3002. [Google Scholar] [CrossRef] [PubMed]
  29. Zhang, G.; Yang, M.; Wang, M. Large temperature sensitivity of fiber optic extrinsic Fabry–Pérot interferometer based on polymer–filled glass capillary. Opt. Fiber Technol. 2013, 19, 618–622. [Google Scholar] [CrossRef]
  30. Lin, H.Y.; Huang, C.H.; Cheng, G.L.; Chen, N.K.; Chui, H.C. Tapered optical fiber sensor based on localized surface plasmon resonance. Opt. Express 2012, 20, 21693–21701. [Google Scholar] [CrossRef]
  31. Alvarez-Chavez, J.A.; Perez-Sanchez, G.G.; Ceballes-Herrera, D.E.; Rodriguez-Rodriguez, J.H.; Schreiber, T. Temperature sensing characteristics of tapered Yb-doped fiber amplifiers. Optik 2013, 124, 5818–5822. [Google Scholar] [CrossRef]
  32. Bosch, M.E.; Sánchez, A.J.R.; Ojeda, C.B. Recent development in optical fiber biosensors. Sensors 2007, 7, 797–859. [Google Scholar] [CrossRef] [Green Version]
  33. Cennamo, N.; Massarotti, D.; Conte, L.; Zeni, L. Low cost sensors based on SPR in a plastic optical fiber for biosensor implementation. Sensors 2011, 11, 11752–11760. [Google Scholar] [CrossRef]
  34. Cennamo, N.; Chiavaioli, F.; Trono, C.; Tombelli, S.; Giannetti, A.; Baldini, F.; Zeni, L. A complete optical sensor system based on a POF-SPR platform and a thermo-stabilized flow cell for biochemical applications. Sensors 2016, 16, 196. [Google Scholar] [CrossRef] [Green Version]
  35. Hill, K.O.; Fuji, Y.; Johnson, D.C.; Kawasaki, B.S. Photosensitivity in optical fiber waveguides: Application to reflection filter fabrication. Appl. Phys. Lett. 1978, 32, 647–649. [Google Scholar] [CrossRef]
  36. Rao, Y.J. Fiber Bragg Grating Sensors: Principles and Applications; Grattan, K.T.V., Meggitt, B.T., Eds.; Chapman & Hall: London, UK, 1988; pp. 355–398. [Google Scholar]
  37. Lee, C.E.; Taylor, H.F. Sensors for smart structures based upon the Fabry-Pérot interferometer. In Fiber Optic Smart Structures; John Wiley & Sons, Inc.: New York, NY, USA, 1995; pp. 249–269. [Google Scholar]
  38. Yoshino, T.; Kurosawa, K.; Itoh, K.; Ose, T. Fiber-optic Fabry-Pérot interferometer and its sensor applications. IEEE Trans. Microw. Theory Technol. 1982, 30, 1612–1621. [Google Scholar] [CrossRef]
  39. Lee, B.H.; Kim, Y.H.; Park, K.S.; Eom, J.B.; Kim, M.J.; Rho, B.S.; Choi, H.Y. Interferometric fiber optic sensors. Sensors 2012, 12, 2467–2486. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Tsai, W.H.; Lin, C.J. A novel structure for the intrinsic Fabry-Pérot fiber-optic temperature sensor. J. Light. Technol. 2001, 19, 682–686. [Google Scholar] [CrossRef]
  41. Kim, S.H.; Lee, J.J.; Lee, D.C.; Kwon, I.B. A study on the development of transmission-type extrinsic Fabry-Perot interferometric optical fiber sensor. J. Light. Technol. 1999, 17, 1869–1874. [Google Scholar]
  42. Rao, Y.J. Recent progress in fiber-optic extrinsic Fabry-Pérot interferometric sensors. Opt. Fiber Technol. 2006, 12, 227–237. [Google Scholar] [CrossRef]
  43. Hunger, D.; Steinmetz, T.; Colombe, Y.; Deutsch, C.; Hansch, T.W.; Reichel, J. A fiber Fabry-Pérot cavity with high finesse. New J. Phys. 2010, 12, 1–24. [Google Scholar] [CrossRef]
  44. Ran, J.; Rao, Y.; Zhang, J.; Liu, Z.; Xu, B. A miniature fiber-optic refractive-index sensor based on laser machined Fabry-Pérot interferometer tip. J. Light. Technol. 2009, 27, 5426–5429. [Google Scholar]
  45. Rao, Y.J.; Deng, M.; Duan, D.W.; Yang, X.C.; Zhu, T.; Cheng, C.H. Micro Fabry-Pérot interferometers in silica fibers machined by femtosecond laser. Opt. Express 2007, 5, 14123–14128. [Google Scholar] [CrossRef]
  46. Ran, Z.L.; Rao, Y.J.; Liu, W.J.; Liao, X.; Chiang, K.S. Laser-micro machined Fabry-Pérot optical fiber tip sensor for high-resolution temperature-independent measurement of refractive index. Opt. Express 2008, 16, 2252–2263. [Google Scholar] [CrossRef] [PubMed]
  47. Wei, T.; Han, Y.; Tsai, H.L.; Xiao, H. Miniaturized fiber inline Fabry-Pérot interferometer fabricated with a femtosecond laser. Opt. Lett. 2008, 33, 536–538. [Google Scholar] [CrossRef] [PubMed]
  48. Wan, X.; Taylor, H.F. Intrinsic fiber Fabry-Pérot temperature sensor with fiber Bragg grating mirrors. Opt. Lett. 2002, 27, 1388–1390. [Google Scholar] [CrossRef]
  49. Wang, Z.; Shen, F.; Song, L.; Wang, X.; Wang, A. Multiplexed fiber Fabry-Pérot interferometer sensors based on ultrashort Bragg gratings. IEEE Photonics Technol. Lett. 2007, 19, 622–624. [Google Scholar] [CrossRef]
  50. Zhang, Y.; Chen, X.; Wang, Y.; Cooper, K.L.; Wang, A. Microgap multicavity Fabry-Pérot biosensor. J. Light. Technol. 2007, 25, 1797–1804. [Google Scholar] [CrossRef]
  51. Machavaram, V.R.; Badcock, R.A.; Fernando, G.F. Fabrication of intrinsic fibre Fabry-Pérot sensors in silica using hydrofluoric acid etching. Sens. Actuators A 2007, 138, 248–260. [Google Scholar] [CrossRef]
  52. Liu, S.; Wang, Y.P.; Liao, C.R.; Wang, G.J.; Li, Z.Y.; Wang, Q.; Zhou, J.T.; Yang, K.M.; Zhong, X.Y.; Zhao, J.; et al. High-sensitivity strain sensor based on in-fiber improved Fabry-Pérot interferometer. Opt. Lett. 2014, 39, 2121–2124. [Google Scholar] [CrossRef] [Green Version]
  53. Zhao, J.R.; Huang, X.G.; He, W.X.; Chen, J.H. High-resolution and temperature-insensitive fiber optic refractive index sensor based on Fresnel reflection modulated by Fabry-Pérot interference. J. Light. Technol. 2010, 28, 2799–2803. [Google Scholar] [CrossRef]
  54. Morris, P.; Hurrell, A.; Shaw, A.; Zhang, E.; Beard, P. A Fabry-Pérot fiber-optic ultrasonic hydrophone for the simultaneous measurement of temperature and acoustic pressure. J. Acoust. Soc. Am. 2009, 125, 3611–3622. [Google Scholar] [CrossRef] [Green Version]
  55. Jedrzewska-Szczerska, M.; Wierzba, P.; Chaaya, A.; Bechelany, M.; Miele, P.; Viter, R.; Mazikowski, A.; Karpienko, K.; Wróbel, M.; Mazikowski, A. ALD thin ZnO layer as an active medium in a fiber-optic Fabry-Perot interferometer. Sens. Actuators A 2015, 221, 84–89. [Google Scholar] [CrossRef]
  56. Jin, L.; Guan, B.O.; Wei, H.F. Sensitivity characteristics of Fabry-Pérot pressure sensors based on hollow-core microstructured fibers. J. Light. Technol. 2013, 31, 2526–2532. [Google Scholar]
  57. Ferreira, M.S.; Bierlich, J.; Kobelke, J.; Pinto, J.L.; Schuster, K.; Wondraczec, K. Hybrid sensor based on microstrutured hollow core fiber for simultaneous measurement of strain and temperature. In Photonic Instrumentation Engineering VI; International Society for Optics and Photonics: San Francisco, CA, USA, 2019; Volume 10925, p. 109250Z. [Google Scholar]
  58. Novais, S.; Ferreira, M.S.; Pinto, J.L. Lateral Load Sensing With an Optical Fiber Inline Microcavity. IEEE Photonics Technol. Lett. 2017, 29, 1502–1505. [Google Scholar] [CrossRef]
  59. Lee, C.L.; Chang, H.J.; You, Y.W.; Chen, G.H.; Hsu, J.M.; Horng, J.S. Fiber Fabry-Pérot interferometers based on air-bubbles/liquid in hollow core fibers. IEEE Photonics Technol. Lett. 2014, 26, 749–752. [Google Scholar] [CrossRef]
  60. Lee, C.L.; Ho, H.Y.; Gu, J.H.; Yeh, T.Y.; Tseng, C.H. Dual hollow core fiber-based Fabry–Pérot interferometer for measuring the thermo-optic coefficients of liquids. Opt. Lett. 2015, 40, 459–462. [Google Scholar] [CrossRef] [PubMed]
  61. Sun, B.; Wang, Y.; Qu, J.; Liao, C.; Yin, G.; He, J.; Zhou, J.; Tang, J.; Liu, S.; Li, Z.; et al. Simultaneous measurement of pressure and temperature by employing Fabry-Pérot interferometer based on pendant polymer droplet. Opt. Express 2015, 23, 1906–1911. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Liu, S.; Yang, K.M.; Wang, Y.P.; Qu, J.L.; Liao, C.R.; He, J.; Li, Z.Y.; Yin, G.L.; Sun, B.; Zhou, J.T.; et al. High-sensitivity strain sensor based on in-fiber rectangular air bubble. Sci. Rep. 2015, 5, 1–7. [Google Scholar] [CrossRef] [Green Version]
  63. Liu, G.G.; Han, M.; Hou, W.L. High-resolution and fast-response fiber-optic temperature sensor using silicon Fabry-Pérot cavity. Opt. Express 2015, 23, 7237–7247. [Google Scholar] [CrossRef] [Green Version]
  64. Liu, T.G.; Yin, J.D.; Jiang, J.F.; Liu, K.; Wang, S.; Zou, S.L. Differential-pressure-based fiber-optic temperature sensor using Fabry-Pérot interferometry. Opt. Lett. 2015, 40, 1049–1052. [Google Scholar] [CrossRef]
  65. Costa, G.K.B.; Gouvêa, P.M.P.; Soares, L.M.B.; Pereira, J.M.B.; Favero, F.; Braga, A.M.B.; Muhoray, P.P.; Bruno, A.C.; Carvalho, I.C.S. In-fiber Fabry-Perot interferometer for strain and magnetic field sensing. Opt. Express 2016, 24, 14690–14696. [Google Scholar] [CrossRef]
  66. Liu, H.; Yanga, H.Z.; Qiao, X.; Hu, M.; Feng, Z.; Wang, R.; Rong, Q.; Gunawarden, D.S.; Lim, K.S.; Ahmad, H. Strain measurement at high temperature environment based on Fabry-Perot interferometer cascaded fiber regeneration grating. Sens. Actuators A 2016, 248, 199–205. [Google Scholar] [CrossRef]
  67. Liu, X.; Jiang, M.; Sui, Q.; Song, F. Temperature sensitivity characteristics of HCPCF-based Fabry–Pérot interferometer. Opt. Commun. 2016, 359, 322–328. [Google Scholar] [CrossRef]
  68. Chen, W.P.; Wang, D.N.; Xu, B.; Zhao, C.L.; Chen, H.F. Multimode fiber tip Fabry-Pérot cavity for highly sensitive pressure Measurement. Sci. Rep. 2017, 368, 1–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Tian, J.; Jiao, Y.; Ji, S.; Dong, X.; Yao, Y. Cascaded-cavity Fabry-Pérot interferometer for simultaneous measurement of temperature and strain with cross-sensitivity compensation. Opt. Commun. 2018, 412, 121–126. [Google Scholar] [CrossRef]
  70. Chen, P.; Shu, X. Refractive-index-modified-dot Fabry-Pérot fiber probe fabricated by femtosecond laser for high-temperature sensing. Opt. Express 2018, 26, 5292–5299. [Google Scholar] [CrossRef] [Green Version]
  71. Liu, S.; Ji, Y.; Yang, J.; Sun, W.; Li, H. Nafion film temperature/humidity sensing based on optical fiber Fabry-Pérot interference. Sens. Actuators A 2018, 269, 313–321. [Google Scholar] [CrossRef]
  72. Liu, Y.; Wang, Y.; Yang, D.; Wu, J.; Zhang, T.; Yu, D.; Jia, Z.; Fu, H. Hollow-core fiber based all-fiber FPI sensor for simultaneous measurements of air pressure and temperature. Sens. J. 2019, 19, 11236–11241. [Google Scholar] [CrossRef]
  73. He, Y.; Yang, H.; Lim, K.; Ahmad, H.; Feng, Z.; Zhang, P.; Tian, Q.; Lu, K.; Han, Z.; Liu, J. Discriminative measurement for temperature and humidity using hollow-core Fabry-Pérot interferometer. Opt. Fiber Technol. 2019, 53, 102027. [Google Scholar] [CrossRef]
  74. Chen, M.Q.; Zhao, Y.; Wei, H.M.; Krishnaswamy, S. Cascaded FPI/LPFG interferometer for high-precision simultaneous measurement of strain and temperature. Opt. Fiber Technol. 2019, 53, 102025. [Google Scholar] [CrossRef]
  75. Yang, D.; Liu, Y.; Wang, Y.; Zhang, T.; Shao, M.; Yu, D.; Fu, H. Integrated optic-fiber sensor based on enclosed EFPI and structural phaseshift for discriminating measurements of temperature, pressure and RI. Opt. Laser Technol. 2020, 126, 106112. [Google Scholar] [CrossRef]
  76. Zhang, C.; Fu, S.; Tang, M.; Liu, D. Parallel Fabry-Pérot interferometers fabricated on multicore-fiber for temperature and strain discriminative sensing. Opt. Express 2020, 28, 3190–3198. [Google Scholar] [CrossRef]
  77. Nan, T.; Liu, B.; Wu, Y.; Wang, J.; Mao, Y.; Zhao, L.; Sun, T.; Wang, J.; Zhao, D. High-temperature fiber sensor based two paralleled fiber-optic Fabry-Pérot interferometers with ultrahigh sensitivity. Opt. Eng. 2020, 59, 027102. [Google Scholar] [CrossRef]
  78. Zhao, Y.; Jin, Y.; Liang, H. Investigation on single-mode-multimode-single-mode fiber structure. In Proceedings of the Symposium on Photonics and Optoelectronics, Wuhan, China, 16–18 May 2011. [Google Scholar]
  79. Novais, S.; Ferreira, C.I.A.; Ferreira, M.S.; Pinto, J.L. Optical fiber tip sensor for the measurement of glucose aqueous solutions. Photonics J. 2018, 10, 1–9. [Google Scholar] [CrossRef]
  80. Tripathi, S.M.; Kumar, A.; Varshney, R.K.; Kumar, B.P.; Marin, E.; Meunier, J.P. Strain and temperature sensing characteristics of singlemode- multimode-single-mode structures. J. Light. Technol. 2009, 27, 2348–2356. [Google Scholar] [CrossRef]
  81. Mehta, A.; Mohammed, W.; Johnson, E.G. Multimode interference based fiber-optic displacement sensor. IEEE Photonics Technol. Lett. 2003, 15, 1129–1131. [Google Scholar] [CrossRef]
  82. Wang, Q.; Farrell, G. All-fiber multimode-interference-based refractometer sensor: Proposal and design. Opt. Lett. 2006, 31, 317–319. [Google Scholar] [CrossRef] [PubMed]
  83. Kumar, A.; Varshney, R.K.; Kumar, R. SMS fiber optic microbend sensor structures: Effect of the modal interference. Opt. Commun. 2004, 232, 239–244. [Google Scholar] [CrossRef]
  84. Soldano, L.B.; Penning, E.C.M. Optical multi-mode interference devices based on self-imaging: Principles and applications. J. Light. Technol. 1995, 13, 615–627. [Google Scholar] [CrossRef] [Green Version]
  85. Zhou, X.; Chen, K.; Mao, X.; Peng, W.; Yu, Q. A reflective fiber-optic refractive index sensor based on multimode interference in a coreless silica fiber. Opt. Commun. 2015, 340, 50–55. [Google Scholar] [CrossRef]
  86. Elousa, C.; arregui, F.J.; Villar, I.D.; Zamarreno, C.R.; Corres, J.M.; Bariain, C.; Goicoechea, J.; Hernaez, M.; Rivero, P.J.; Socorro, A.B. Micro and nanostructured materials for the development of optical fibre sensors. Sensors 2017, 17, 2312. [Google Scholar] [CrossRef] [Green Version]
  87. Han, W.; Tong, Z.; Cao, Y. Simultaneous measurement of temperature and liquid level base on coreoffset singlemode–multimode–singlemode interferometer. Opt. Commun. 2014, 321, 134–137. [Google Scholar] [CrossRef]
  88. Sun, H.; Hu, M.; Rong, Q.; Du, Y.; Yang, H.; Qiao, X. High sensitivity optical fiber temperature sensor based on the temperature cross-sensitivity feature of RI-sensitive device. Opt. Commun. 2014, 323, 28–31. [Google Scholar] [CrossRef]
  89. Fan, J.; Zhang, J.; Lu, P.; Tian, M.; Xu, J.; Liu, D. A single-mode fiber sensor based on core-offset intermodal interferometer. Opt. Commun. 2014, 320, 33–37. [Google Scholar] [CrossRef]
  90. Yang, M.; Dai, J. Review on optical fiber sensors with sensitive thin films. Photonic Sens. 2012, 2, 14–28. [Google Scholar] [CrossRef] [Green Version]
  91. del Villar, I.; Partridge, M.; Rodriguez, W.E.; Fuentes, O.; Socorro, A.B.; Diaz, S.; Corres, J.M.; James, S.W.; Tatam, R.P. Sensitivity enhancement in low cutoff wavelength long-period fiber gratings by cladding diameter reduction. Sensors 2017, 17, 2094. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Ma, L.; Kang, Z.; Qi, Y.; Jian, S. Fiber-optic temperature sensor based on a thinner no-core fiber. Optik 2015, 126, 1044–1046. [Google Scholar] [CrossRef]
  93. Hao, X.; Tong, Z.; Zhang, W.; Cao, Y. A fiber laser temperature sensor based on SMF core-offset structure. Opt. Commun. 2015, 335, 78–81. [Google Scholar] [CrossRef]
  94. Hu, P.; Chen, Z.; Yang, M.; Yang, J.; Zhong, C. Highly sensitive liquid-sealed multimode fiber interferometric temperature sensor. Sens. Actuators A 2015, 223, 114–118. [Google Scholar] [CrossRef]
  95. Sun, Y.; Liu, D.; Lu, P.; Sun, Q.; Yang, W.; Wang, S.; Liu, L.; Ni, W. High sensitivity optical fiber strain sensor using twisted multimode fiber based on SMS structure. Opt. Commun. 2017, 405, 416–420. [Google Scholar] [CrossRef]
  96. Oliveira, R.; Marques, T.H.R.; Birlo, L.; Nogueira, R. Multiparameter POF sensing based on multimode interference and fiber Bragg grating. J. Light. Technol. 2017, 35, 3–9. [Google Scholar] [CrossRef]
  97. Tian, K.; Farrell, G.; Wang, X.; Yang, W.; Xin, Y.; Liang, h.; Lewis, E.; Wang, P. Strain sensor based on gourd-shaped single-mode-multimode-single-mode hybrid optical fibre structure. Opt. Express 2017, 25, 18885–18896. [Google Scholar] [CrossRef] [Green Version]
  98. Tian, K.; Farrell, G.; Wang, X.; Xin, Y.; Du, Y.; Yang, W.; Liang, H.; Lewis, E.; Wang, P. High sensitivity temperature sensor based on singlemode-no-core-singlemode fibre structure and alcohol. Sens. Actuators A Phys. 2018, 284, 28–34. [Google Scholar] [CrossRef] [Green Version]
  99. Novais, S.; Ferreira, M.S.; Pinto, J.L. Relative Humidity Fiber Sensor Based on Multimode Interferometer Coated with Agarose-Gel. Coatings 2018, 8, 453. [Google Scholar] [CrossRef] [Green Version]
  100. Noor, S.F.S.M.; Harun, S.W.; Ahmad, H.; Muhammad, A.R. Multimode interference based fiber-optic for temperature measurement. J. Phys. Conf. Ser. 2019, 1151, 012023. [Google Scholar] [CrossRef]
  101. Wang, L.; Yang, L.; Zhang, c.; Miao, C.; Zhao, J.; Xu, W. High sensitivity and low loss open-cavity Mach-Zehnder interferometer based on multimode interference coupling for refractive index measurement. Opt. Laser Technol. 2019, 109, 193–198. [Google Scholar] [CrossRef]
  102. Dong, C.; Jiang, Y.; Ye, S.; Xing, R.; Wu, Y.; Jian, S. Liquid refractive index and temperature sensor using multimode interference-based corroded polarization-maintaining fiber. J. Nanophotonics 2019, 13, 016007. [Google Scholar] [CrossRef]
  103. Zhang, Y.; Liu, M.; Zhang, Y.; Liu, Z.; Yang, X.; Zhang, J.; Yang, J.; Yuan, L. Simultaneous measurement of temperature and refractive index based on a hybrid surface plasmon resonance multimode interference fiber sensor. Appl. Opt. 2020, 59, 1225–1229. [Google Scholar] [CrossRef]
  104. Zhao, Y.; Zhao, J.; Zhao, Q. High sensitivity seawater temperature sensor based on no-core optical fiber. Opt. Fiber Technol. 2020, 54, 102115. [Google Scholar] [CrossRef]
  105. Huang, Y.; Liu, S.; Zhang, L.; Wang, Y.; Wang, Y. Self-imaging effect in liquid-filled hollow-core capillary waveguide for sensing applications. Sensors 2020, 20, 135. [Google Scholar] [CrossRef] [Green Version]
  106. Roemer, R.B. Engineering aspects of hyperthermia therapy. Ann. Rev. Biomed. Eng. 1999, 1, 347–376. [Google Scholar] [CrossRef]
  107. Grattan, K.; Zhang, Z. Fiber optic fluorescence thermometry. In Topics in Fluorescence Spectroscopy: Probe Design and Chemical Sensing; Lakowicz, J.R., Ed.; Kluwer Academic: London, UK, 2002; Volume 4, pp. 335–376. [Google Scholar]
  108. Rao, Y.J.; Webb, D.J.; Jackson, D.A.; Zhang, L.; Bennion, I. In-fiber Bragg-grating temperature sensor system for medical applications. J. Light. Technol. 1997, 15, 779–785. [Google Scholar]
  109. Wolthuis, R.A.; Mitchell, G.L.; Saaski, E.W.; Hartl, J.C.; Afromowit, M.A. Development of medical pressure and temperature sensors employing optical spectrum modulation. IEEE Trans. Biomed. Eng. 1991, 38, 974–981. [Google Scholar] [CrossRef] [PubMed]
  110. Hamel, C.; Pinet, É. Temperature and pressure fiber optic sensors applied to minimally invasive diagnostics and therapies. In Proceedings of the SPIE, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications VI. SPIE, San Jose, CA, USA, 15 February 2006; p. 608306. [Google Scholar]
  111. Sholes, R.R.; Small, J.G. Fluorescent decay thermometer with biological applications. Rev. Sci. Instrum. 1980, 51, 882–884. [Google Scholar] [CrossRef]
  112. Wickersheim, K.A.; Alves, R.V. A new optical technique for the measurement of temperature in RF and microwave fields. In Proceedings of the IEEE MTT-S Int Microwave Symposium Digest, Los Angeles, CA, USA, 15–19 June 1981; pp. 468–469. [Google Scholar]
  113. Wickersheim, K.A.; Alves, R.V. Fluoroptic thermometry: A new RF-immune technology. Prog. Clin. Biol. Res. 1982, 107, 547–554. [Google Scholar] [PubMed]
  114. Wickersheim, K.A.; Mei, H.S. Fiber optic thermometry and its applications. J. Microw. Power Electromagn. Energy 1987, 22, 85–94. [Google Scholar] [CrossRef]
  115. Seat, H.C.; Sharp, J.H.; Zhang, Z.Y.; Grattan, K.T.V. Single-crystal ruby fiber temperature sensor. Sens. Actuators A Phys. 2002, 101, 24–29. [Google Scholar] [CrossRef]
  116. Zhang, Z.; Grattan, K.; Palmer, A. Cr: LiSAF fluorescence-lifetime-based fiber optic thermometer and its applications in clinical RF heat treatment. In Advances in Fluorescence Sensing Technology: Lifetime-Based Sensing. SPIE 1885; Summers, R., Summan, R., Hughes, S., Eds.; International Society for Optics and Photonics: Los Angeles, CA, USA, 18 May 1993; p. 300. [Google Scholar]
  117. Luma Sense Biomedical Lab Kit—m3300 Product Datasheet. LumaSense Technologies. Available online: http://www.lumasenseinc.com/uploads/Products/Fiber_Optic_Temperature_Sensors/pdf/Datasheets/OEM_Modules/m3300-OEM_datasheet.pdf (accessed on 30 September 2011).
  118. Nakagawa, H.; Yamanashi, W.S.; Pitha, J.V.; Arruda, M.; Wang, X.; Ohtomo, K.; Beckman, K.J.; McClelland, J.H.; Lazzara, R.; Jackman, W.M. Comparison of in vivo tissue temperature profile and lesion geometry for radiofrequency ablation with a saline-irrigated electrode versus temperature control in a canine thigh muscle preparation. Circulation 1995, 91, 2264–2273. [Google Scholar] [CrossRef] [Green Version]
  119. Chen, L.; Wansapura, J.P.; Heit, G.; Butts, K. Study of laser ablation in the in vivo rabbit brain with MR thermometry. J. Magn. Reson. Imaging 2002, 16, 147–152. [Google Scholar] [CrossRef]
  120. Sun, M.H.; Wickersheim, K.A.; Kim, J.H. Fiber optic temperature sensors in the medical setting. In Proceedings of the SPIE 1067, Conference on Optical Fibers in Medicine: Optical Fibers in Medicine IV. SPIE, Los Angeles, CA, USA, 15 June 1989; pp. 15–21. [Google Scholar]
  121. Neoptix. T1™ Fiber Optic Temperature Sensor: Product Datasheet. Available online: http://www.neoptix.com/literature/v1002_Datasheet_t1.pdf (accessed on 30 September 2011).
  122. Thurber, K.R.; Tycko, R. Biomolecular solid state NMR with magic-angle spinning at 25 K. J. Magn. Reson. 2008, 195, 179–186. [Google Scholar] [CrossRef] [Green Version]
  123. Wonneberger, U.; Schnackenburg, B.; Wlodarczyk, W.; Walter, T.; Streitparth, F.; Rump, J.; Teichgräber, U.K.M. Intradiscal temperature monitoring using double gradient-echo pulse sequences at 1.0 T. J. Magn. Reson. Imaging 2010, 31, 1499–1503. [Google Scholar] [CrossRef]
  124. Streitparth, F.; Knobloch, G.; Balmert, D.; Chopra, S.; Rump, J.; Wonneberger, U.; Philipp, C.; Hamm, B.; Teichgräber, U. Laser-induced thermotherapy (LITT): Evaluation of a miniaturised applicator and implementation in a 1.0-T high-field open MRI applying a porcine liver model. Eur. Radiol. 2010, 20, 2671–2678. [Google Scholar] [CrossRef]
  125. Veronesi, P.; Leonelli, C.; Moscato, U.; Cappi, A.; Figurelli, O. Non-incineration microwave assisted sterilization of medical waste. J. Microw. Power Electromagn. Energy 2005, 40, 211–218. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Saaski, E.W.; Hartl, J.C.; Mitchell, G.L.; Wolthuis, R.A.; Afroniowitz, M.A. A family of fiber optic sensors using cavity resonator microshifts. In Proceedings of the 4th International Conference Optical Fiber Sensors, Tokyo, Japan, 7–9 October 1986; Optical Society of America: Washington, DC, USA, 1986; pp. 11–14. [Google Scholar]
  127. Rao, Y.J.; Jackson, D.A. A prototype fibre-optic-based Fizeau medical pressure and temperature sensor system using coherence reading. Meas. Sci. Technol. 1994, 5, 741–746. [Google Scholar] [CrossRef]
  128. Rao, Y.J. In-fibre Bragg grating sensors. Meas. Sci. Technol. 1997, 8, 355–375. [Google Scholar] [CrossRef]
  129. Rao, Y.J.; Webb, D.J.; Jackson, D.A.; Zhang, L.; Bennion, I. Optical in-fiber Bragg grating sensor systems for medical applications. J. Biomed. Opt. 1998, 3, 38–44. [Google Scholar] [CrossRef] [PubMed]
  130. Webb, D.J.; Hathaway, M.W.; Jackson, D.A.; Jones, S.; Zhang, L.; Bennion, I. First in-vivo trials of a fiber Bragg grating based temperature profiling system. J. Biomed. Opt. 2000, 5, 45–50. [Google Scholar] [CrossRef] [Green Version]
  131. Smith, E.J.; Patterson, B.A.; Webster, R.J.; Krug, P.A.; Jones, S.K.; Sampson, D.D. Engineering a portable quasi-distributed fibre-Bragg-grating temperature sensing system for clinical hyperthermia. In Proceedings of the 15th Optical Fiber Sensors Conference Technical Digest, Portland, OR, USA, 10 May 2002; pp. 269–272. [Google Scholar]
  132. Saxena, I.F.; Hui, K.; Astrahan, M. Polymer coated fiber Bragg grating thermometry for microwave hyperthermia. Med. Phys. J. 2010, 37, 4615–4619. [Google Scholar] [CrossRef] [Green Version]
  133. Samset, E.; Mala, T.; Ellingsen, R.; Gladhaug, I.; Soreide, O.; Fosse, E. Temperature measurement in soft tissue using a distributed fibre Bragg-grating sensor system. Minim. Invasive Ther. Allied Technol. 2001, 10, 89–93. [Google Scholar] [CrossRef]
  134. Gowardhan, B.; Thomas, B.; Asterling, S.; Sheikh, N.; Greene, D. Cryosurgery for prostate cancer: Experience with third-generation cryosurgery and novel developments in the field. Eur. Urol. Suppl. 2007, 6, 516–520. [Google Scholar] [CrossRef]
  135. Gowardhan, B.; Greene, D. Cryotherapy for the prostate: An in vitro and clinical study of two new developments. Advanced cryoneedles and a temperature monitoring system. BJU Int. 2007, 100, 295–302. [Google Scholar] [CrossRef]
  136. Martin, M.; Hussain, N.; Shoureshi, R. Fiber Bragg sensor for smart bed sheet. In Proceedings of the SPIE 5907, Optics & Photonics: Photonic Devices and Algorithms for Computing VII, San Diego, CA, USA, 15 September 2005; pp. 590706–590708. [Google Scholar]
  137. Ramos, A.; Abe, I.; Schiller, M.W.; Lopes, P.; Nogueira, R.; Pinto, J.L.; Simões, J.A. On the use of fiber Bragg sensors to assess temperature and thermal induce strain profiles in cemented hip mantles. J. Biomech. 2006, 39, S514. [Google Scholar] [CrossRef]
  138. Cennamo, N.; Monica, A.D.; Zeni, L. An optical temperature sensor based on silicone and Palstic Optical Fiber for biomedical applications. In Proceedings of the 2017 IEEE International Instrumentation and Measurement Technology Conference, Turin, Italy, 22–25 May 2017. [Google Scholar]
  139. Stavem, K.; Saxholm, H.; Smith-Erichsen, N. Accuracy of infrared ear thermometry in adult patients. Intensive Care Med. 1997, 23, 100–105. [Google Scholar] [CrossRef]
  140. Teunissen, L.P.J.; Haan, A.; Koning, J.J.; Clairbois, H.E.; Daanen, H.A.M. Limitations of temperature measurement in the aural canal with an ear mould integrated sensor. Physiol. Meas. 2011, 32, 1403–1416. [Google Scholar] [CrossRef] [PubMed]
  141. Mignani, A.G.; Baldini, F. Biomedical sensors using optical fibres. Rep. Prog. Phys. 1996, 59, 1–28. [Google Scholar] [CrossRef]
  142. Schena, E.; Tosi, D.; Sacacomandi, P.; Lewis, E.; Kim, T. Fiber optic sensors for temperature monitoring during thermal treatments: An overview. Sensors 2016, 16, 1144. [Google Scholar] [CrossRef]
  143. Lewis, E.; Staruch, M.A.; Chopra, R. Thermometry and ablation monitoring with ultrasound. Int. J. Hyperth. 2015, 31, 163–181. [Google Scholar] [CrossRef] [Green Version]
  144. Wu, J.L.; Wang, Y.T. A fluorescence optic-fiber temperature sensor using phase-locked detection with pulse modulation single reference. J. Phys. Conf. Ser. 2006, 48, 101. [Google Scholar] [CrossRef]
  145. Wook, Y.J.; Jang, K.W.; Seo, J.K.; Heo, J.Y.; Moon, J.S.; Park, J.Y.; Lee, B.S. Development of respiration sensors using plastic optical fiber for respiratory monitoring inside MRI System. J. Opt. Soc. Korea 2010, 14, 235–239. [Google Scholar]
  146. Tosi, D.; Macchi, E.G.; Braschi, G.; Gallati, M.; Cigada, A.; Poeggel, S.; Leen, G.; Lewis, E. Monitoring of radiofrequency thermal ablation in liver tissue through fibre Bragg grating sensors array. Electron. Lett. 2014, 50, 981–983. [Google Scholar] [CrossRef]
  147. Macchi, E.G.; Tosi, D.; Braschi, G.; Gallati, M.; Cigada, A.; Busca, G.; Lewis, E. Optical fiber sensors-based temperature distribution measurement in ex vivo radiofrequency ablation with submillimeter resolution. J. Biomed. Opt. 2014, 19, 117004. [Google Scholar] [CrossRef]
  148. Ding, Y.; Chen, N.; Chen, Z. Dynamic temperature monitoring and control with fully distributed fiber Bragg grating sensor. In Proceedings of the Photonics Asia, Optics in Health Care and Biomedical Optics IV, Beijing, China, 8 November 2010; p. 784509. [Google Scholar]
  149. Chen, N.; Chen, S.; Zhu, H.; Liu, S.; Chen, Z.; Pang, F.; Wang, T. In vivo experiments of laser thermotherapy on liver tissue with FBG temperature distribution sensor. In Proceedings of the Photonic Microdevices/Microstructures for Sensing IV, Baltimore, MD, USA, 26–27 April 2012. [Google Scholar]
  150. Samset, E.; Mala, T.; Edwin, B.; Gladhaug, I.; Søreide, O.; Fosse, E. Validation of estimated 3D temperature maps during hepatic cryo surgery. J. Magn. Reson. Imaging 2001, 19, 715–721. [Google Scholar] [CrossRef]
  151. Zou, X.; Wu, N.; Tian, Y.; Ouyang, J.; Barringhaus, K.; Wang, X. Miniature Fabry-Perot fiber optic sensor for intravascular blood temperature measurement. IEEE Sens. J. 2013, 13, 2155–2160. [Google Scholar] [CrossRef]
  152. Najafi, B.; Mohseni, H.; Grewal, G.S.; Talal, T.K.; Menzies, R.A.; Armstrong, D.G. Armstrong, An optical-fiber-based smart textile (smart socks) to manage biomechanical risk factors associated with diabetic foot amputation. J. Diabetes Sci. Technol. 2017, 11, 668–677. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. Hazenberg, C.E.V.B.; de Stegge, W.B.; Baal, S.G.V.; Moll, F.L.; Bus, S.A. Telehealth and telemedicine applications for the diabetic foot: A systematic review. Diabetes/Metab. Res. Rev. 2019, 36, e3247. [Google Scholar] [CrossRef] [PubMed]
  154. Fook, V.F.S.; Jayachandran, M.; Jiliang, E.P.; Yongwein, Z.; Jianzhong, E.H. Fiber Bragg Grating-based monitoring and alert system for care of residents in nursing in nursing homes. In Proceedings of the IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, 5–8 February 2018. [Google Scholar]
  155. Chandrasiri, G.A.P.; Halgamuge, M.N.; Jayasekara, C.S. A Comparative Study in the Application of IOT in Health Care: Data Security in Telemedicine, Security, Privacy and Trust in the IoT Environment; Springer: Cham, Switzerland, 2019; pp. 181–202. [Google Scholar]
Figure 1. Schematic of a Bragg grating structure.
Figure 1. Schematic of a Bragg grating structure.
Sensors 20 02113 g001
Figure 2. (a) Extrinsic and (b) intrinsic Fabry-Perot interferometer sensor, with reflectance R1 and R2, separated by a determined distance, L. The supporting structure in (a) was partially removed.
Figure 2. (a) Extrinsic and (b) intrinsic Fabry-Perot interferometer sensor, with reflectance R1 and R2, separated by a determined distance, L. The supporting structure in (a) was partially removed.
Sensors 20 02113 g002
Figure 3. Schematic configuration of the single-mode-multimode-single-mode fiber structure.
Figure 3. Schematic configuration of the single-mode-multimode-single-mode fiber structure.
Sensors 20 02113 g003
Figure 4. Schematic drawing of the temperature sensor proposed by Wolthuis et al. (Adapted from [109].)
Figure 4. Schematic drawing of the temperature sensor proposed by Wolthuis et al. (Adapted from [109].)
Sensors 20 02113 g004
Figure 5. Schematic drawing of the temperature sensor proposed by Rao and Jackson. A stainless steel tube was made transparent to allow component visualization. (Adapted from [127].)
Figure 5. Schematic drawing of the temperature sensor proposed by Rao and Jackson. A stainless steel tube was made transparent to allow component visualization. (Adapted from [127].)
Sensors 20 02113 g005
Figure 6. Schematic drawing of the temperature sensor proposed by Rao et al. (Adapted from [108].) A nylon sleeve was made transparent to allow component visualization.
Figure 6. Schematic drawing of the temperature sensor proposed by Rao et al. (Adapted from [108].) A nylon sleeve was made transparent to allow component visualization.
Sensors 20 02113 g006
Figure 7. Schematic drawing of the temperature sensor proposed by Cennamo et al. (Adapted from [138].)
Figure 7. Schematic drawing of the temperature sensor proposed by Cennamo et al. (Adapted from [138].)
Sensors 20 02113 g007
Figure 8. The probe of fiber temperature (Adapted from [145].)
Figure 8. The probe of fiber temperature (Adapted from [145].)
Sensors 20 02113 g008
Figure 9. Schematic drawing of the structures of the nasal-cavity and abdomen-attached fiber-optic sensors (Adapted from [146].)
Figure 9. Schematic drawing of the structures of the nasal-cavity and abdomen-attached fiber-optic sensors (Adapted from [146].)
Sensors 20 02113 g009
Table 1. Different configurations of Fabry-Perot sensors reported from 2015 to 2020.
Table 1. Different configurations of Fabry-Perot sensors reported from 2015 to 2020.
YearConfigurationLength (µm)RangeSensitivityRef
2015SMF + dual HCF 33.8420 to 60 °C−0.4810 nm/°C[60]
2015Polymer capped on the end face of SMF35.140 to 90 °C0.249 nm/°C[61]
2015Rectangular air bubble between SMFs~6125 to 100 °C2.0 pm/°C[62]
2015SMF + silicon pillar20020 to 100 °C84.6 pm/°C[63]
2015MMF + Pyrex glass + silicon diaphragm~32−50 to 100 °C6.07 nm/°C[64]
2016Air cavities with capillary fiber between 2 SMFs~25-20050 to 400 °C0.8 pm/°C[65]
2016SMF + hollow-core photonic crystal fiber (PCF)7517 to 900 °C0.94 pm/°C[66]
2016SMF + PCF 9420 to 90 °C9.17 pm/°C[67]
2017Etched MMF filled with UV adhesive37.755 to 85°C213 pm/°C[68]
2018SMF + Hollow core tube + SMF~10050–450 °C0.902 pm/°C[69]
2018Fiber core near the end of a standard SMF60500 to 1000 °C18.6 pm/°C[70]
2018SMF +capillary + nafion film200−30 to 85 °C2.71 nm/°C[71]
2019SMF + HCF + HCF21030 to 200 °C9.22 pm/°C[72]
2019SMF + HCF + grapefruit PCF122925 to 70 °C10.64 pm/°C[73]
2019SMF + HCF + long period fiber grating +SMF474.431.5 to 82.4°C 135.19 pm/°C[74]
2020SMF + FBG + FBG + SMF------25 to 45 °C 307.6 pm/°C [75]
2020Parallel FPI26
61
20 to 80 °C 0.74 pm/°C 1.37 pm/°C [76]
2020SMF + polarization maintaining PCF150300 to 800 °C−92 pm/°C[77]
Table 2. Multimode interference sensors reported in the literature from 2015 to 2020.
Table 2. Multimode interference sensors reported in the literature from 2015 to 2020.
YearConfigurationLength
(mm)
RangeSensitivityRef
2015SMF + no core fiber (NCF) (diameter of 96 µm) + SMF34.43−30 to 100 °C38.7 pm/°C[92]
2015SMF + offset SMF + SMF4630 to 270 °C0.0449 nm/°C[93]
2015SMF + NCF + SMF4010 to 100 °C5.15 nm/°C[94]
2017SMF + MMF (core of 105 µm) + SMF4415 to 75 °C29.33 pm/°C[95]
2017SMF + polymer optical fiber (POF) + SMF1025 to 105 °C102.2 pm/°C [96]
2017SMF + MMF + MMF + SMF10030 to 90 °C6.8 pm/°C[97]
2018SMF + NCF (with alcohol solution within a silica capillary tube) + SMF4020 to 45 °C0.49 dB/°C[98]
2018SMF + NCF43.9100 to 700 °C6.8 pm/°C[79]
2018SMF + NCF3010 to 70 °C13.6 pm/°C[99]
2019SMF + MMF + SMF7031.4 to 80.2 °C21 pm/°C[100]
2019SMF + MMF + NCF + MMF + SMF120 to 100 °C33 pm/°C[101]
2019SMF + MMF + polarization maintaining fiber + MMF + SMF3220 to 40 °C0.188 nm/°C[102]
2020SMF + NCF (with a gold film) + SMF1220 to 80 °C37.9 pm/°C[103]
2020SMF + NCF (with coating) + SMF15−5 to 45 °C−4.677 nm/°C[104]
2020SMF + hollow-core capillary waveguide + SMF29.525 to 75 °C−0.49 nm/°C[105]

Share and Cite

MDPI and ACS Style

Roriz, P.; Silva, S.; Frazão, O.; Novais, S. Optical Fiber Temperature Sensors and Their Biomedical Applications. Sensors 2020, 20, 2113. https://doi.org/10.3390/s20072113

AMA Style

Roriz P, Silva S, Frazão O, Novais S. Optical Fiber Temperature Sensors and Their Biomedical Applications. Sensors. 2020; 20(7):2113. https://doi.org/10.3390/s20072113

Chicago/Turabian Style

Roriz, Paulo, Susana Silva, Orlando Frazão, and Susana Novais. 2020. "Optical Fiber Temperature Sensors and Their Biomedical Applications" Sensors 20, no. 7: 2113. https://doi.org/10.3390/s20072113

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop