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Special Issue "Optical Fiber Sensors: Development and Applications"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 30 April 2020.

Special Issue Editors

Dr. Alexandre François
Website
Guest Editor
School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia
Interests: optics spectroscopy; label free optical biosensors; plasmonics; whispering gallery modes; surface functionalization; immunoassays; point of care diagnostics
Special Issues and Collections in MDPI journals
Dr. George Y. Chen
Website
Guest Editor
School of Engineering, University of South Australia, Adelaide, Australia
Interests: point/distributed sensors; skew ray; optical microfiber; femtosecond laser inscription
Special Issues and Collections in MDPI journals
Prof. Dr. Pengfei Wang
Website
Guest Editor
Harbin Engineering University, Harbin, China
Interests: fiber optics; fiber-optic sensors; optical materials; fiber lasers; integrated optics

Special Issue Information

Dear Colleagues,

The landscape of optical fiber sensing technologies is well established. However, it is continuously changing and adapting to solving new problems ranging from environmental monitoring and resource management, to applications in smart cities and heavy industries, as well as biomedical applications and biosecurity, thanks to innovations in functional materials, sensing structures and new optical phenomena. This Special Issue will focus on the latest developments in optical fiber sensing technologies, covering recent technological improvements and emerging applications. We especially encourage review articles describing the current state-of-the-art on the aforementioned topics. 

Potential topics include but are not limited to the following: 

  • Optical fiber sensors for coal-mine and oil-rig monitoring
  • Optical fiber sensors for structural monitoring
  • Optical fiber sensors for automotive/road monitoring
  • Optical fiber sensors for ambient-conditions monitoring
  • Optical fiber sensors for air-quality monitoring
  • Optical fiber sensors for water-quality and water-leak monitoring
  • Optical fiber sensors for food-safety monitoring
  • Optical fiber sensors for soil-pollution monitoring
  • Optical fiber sensors for biochemical detection
  • Optical fiber sensors for medical diagnostics

Dr. Alexandre François
Dr. George Y. Chen
Prof. Dr. Pengfei Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Optical sensors
  • Distributed sensors
  • Physical sensors
  • Chemical sensors
  • Biosensors
  • Safety monitoring
  • Pollution monitoring
  • Data mining

Published Papers (7 papers)

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Research

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Open AccessArticle
Fiber Optic Train Monitoring with Distributed Acoustic Sensing: Conventional and Neural Network Data Analysis
Sensors 2020, 20(2), 450; https://doi.org/10.3390/s20020450 - 13 Jan 2020
Abstract
Distributed acoustic sensing (DAS) over tens of kilometers of fiber optic cables is well-suited for monitoring extended railway infrastructures. As DAS produces large, noisy datasets, it is important to optimize algorithms for precise tracking of train position, speed, and the number of train [...] Read more.
Distributed acoustic sensing (DAS) over tens of kilometers of fiber optic cables is well-suited for monitoring extended railway infrastructures. As DAS produces large, noisy datasets, it is important to optimize algorithms for precise tracking of train position, speed, and the number of train cars. The purpose of this study is to compare different data analysis strategies and the resulting parameter uncertainties. We present data of an ICE 4 train of the Deutsche Bahn AG, which was recorded with a commercial DAS system. We localize the train signal in the data either along the temporal or spatial direction, and a similar velocity standard deviation of less than 5 km/h for a train moving at 160 km/h is found for both analysis methods. The data can be further enhanced by peak finding as well as faster and more flexible neural network algorithms. Then, individual noise peaks due to bogie clusters become visible and individual train cars can be counted. From the time between bogie signals, the velocity can also be determined with a lower standard deviation of 0.8 km/h. The analysis methods presented here will help to establish routines for near real-time train tracking and train integrity analysis. Full article
(This article belongs to the Special Issue Optical Fiber Sensors: Development and Applications)
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Open AccessArticle
Chromatic Confocal Displacement Sensor with Optimized Dispersion Probe and Modified Centroid Peak Extraction Algorithm
Sensors 2019, 19(16), 3592; https://doi.org/10.3390/s19163592 - 18 Aug 2019
Cited by 1
Abstract
Chromatic confocal technology (CCT) is one of the most promising methods for the contactless and accurate measurement of structure profiles. Based on the principles of chromatic dispersion and confocal theory, a dispersion probe is proposed and optimized with several commercial and cheap refractive [...] Read more.
Chromatic confocal technology (CCT) is one of the most promising methods for the contactless and accurate measurement of structure profiles. Based on the principles of chromatic dispersion and confocal theory, a dispersion probe is proposed and optimized with several commercial and cheap refractive index lenses. The probe provides 0.3× magnification and a dispersion range of 400 μm with a commercial LED source with an effective bandwidth of ca. 450–623 nm. Since the noise fluctuation can affect the extraction stability of the focal wavelength, a modification to the centroid peak extraction algorithm is proposed in this paper, where several virtual pixels are interpolated among the real pixels of the spectrometer before thresholding. In addition, a series of experiments were carried out to test the system’s displacement measurement performance. The results clearly show that stability is improved by the modified algorithm, and the calibration repeatability is ±0.3 μm in the full measurement range with a linear stage. The standard deviation at the fixed position has an optimal value of 0.009 μm. The section profile of a Fresnel lens is measured by the CCT system to demonstrate its high feasibility and efficiency. Full article
(This article belongs to the Special Issue Optical Fiber Sensors: Development and Applications)
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Open AccessArticle
Surface Functionalization of Exposed Core Glass Optical Fiber for Metal Ion Sensing
Sensors 2019, 19(8), 1829; https://doi.org/10.3390/s19081829 - 17 Apr 2019
Cited by 1
Abstract
One of the biggest challenges associated with exposed core glass optical fiber-based sensing is the availability of techniques that can be used to generate reproducible, homogeneous and stable surface coating. We report a one step, solvent free method for surface functionalization of exposed [...] Read more.
One of the biggest challenges associated with exposed core glass optical fiber-based sensing is the availability of techniques that can be used to generate reproducible, homogeneous and stable surface coating. We report a one step, solvent free method for surface functionalization of exposed core glass optical fiber that allows achieving binding of fluorophore of choice for metal ion sensing. The plasma polymerization-based method yielded a homogeneous, reproducible and stable coating, enabling high sensitivity aluminium ion sensing. The sensing platform reported in this manuscript is versatile and can be used to bind different sensing molecules opening new avenues for optical fiber-based sensing. Full article
(This article belongs to the Special Issue Optical Fiber Sensors: Development and Applications)
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Open AccessArticle
Long-Term Monitoring with Fiber Optics Distributed Temperature Sensing at Campi Flegrei: The Campi Flegrei Deep Drilling Project
Sensors 2019, 19(5), 1009; https://doi.org/10.3390/s19051009 - 27 Feb 2019
Abstract
Monitoring volcanic phenomena is a key question, for both volcanological research and for civil protection purposes. This is particularly true in densely populated volcanic areas, like the Campi Flegrei caldera, which includes part of the large city of Naples (Italy). Borehole monitoring of [...] Read more.
Monitoring volcanic phenomena is a key question, for both volcanological research and for civil protection purposes. This is particularly true in densely populated volcanic areas, like the Campi Flegrei caldera, which includes part of the large city of Naples (Italy). Borehole monitoring of volcanoes is the most promising way to improve classical methods of surface monitoring, although not commonly applied yet. Fiber optics technology is the most practical and suitable way to operate in such high temperature and aggressive environmental conditions. In this paper, we describe a fiber optics Distributed Temperature Sensing (DTS) sensor, which has been designed to continuously measure temperature all along a 500 m. deep well drilled in the west side of Naples (Bagnoli area), lying in the Campi Flegrei volcanic area. It has then been installed as part of the international ‘Campi Flegrei Deep Drilling Project’, and is continuously operating, giving insight on the time variation of temperature along the whole borehole depth. Such continuous monitoring of temperature can in turn indicate volcanic processes linked to magma dynamics and/or to changes in the hydrothermal system. The developed monitoring system, working at bottom temperatures higher than 100 °C, demonstrates the feasibility and effectiveness of using DTS for borehole volcanic monitoring. Full article
(This article belongs to the Special Issue Optical Fiber Sensors: Development and Applications)
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Open AccessArticle
A Sensing Peak Identification Method for Fiber Extrinsic Fabry–Perot Interferometric Refractive Index Sensing
Sensors 2019, 19(1), 96; https://doi.org/10.3390/s19010096 - 28 Dec 2018
Cited by 2
Abstract
A novel sensing peak identification method for high accuracy refractive index (RI) sensing is proposed. The implementation takes the intensity of interference maximum as the characteristic to distinguish interference peaks, tracking the sensing peak continually during a RI changes, with high measurement accuracy [...] Read more.
A novel sensing peak identification method for high accuracy refractive index (RI) sensing is proposed. The implementation takes the intensity of interference maximum as the characteristic to distinguish interference peaks, tracking the sensing peak continually during a RI changes, with high measurement accuracy and simple computation. To verify the effect of the method, the extrinsic Fabry–Perot interferometer (EFPI) sensor has been fabricated using the large lateral offset splicing technique. In the RI range from 1.346 to 1.388, the measurement range of the EFPI with the proposed method reaches at least 6 times larger than that of EFPI with the wavelength tracking method and the largest measurement error is −4.47 × 10−4. The EFPI refractive index (RI) sensor identified the sensing peak is believed to play an important role in RI, concentration and density sensing, etc., for superior performance. Full article
(This article belongs to the Special Issue Optical Fiber Sensors: Development and Applications)
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Open AccessArticle
Polymer Optical Fiber Goniometer: A New Portable, Low Cost and Reliable Sensor for Joint Analysis
Sensors 2018, 18(12), 4293; https://doi.org/10.3390/s18124293 - 06 Dec 2018
Cited by 1
Abstract
The quantitative measurement of an articular motion is an important indicator of its functional state and for clinical and pathology diagnoses. Joint angle evaluation techniques can be applied to improve sports performance and provide feedback information for prostheses control. Polymer optical fiber (POF) [...] Read more.
The quantitative measurement of an articular motion is an important indicator of its functional state and for clinical and pathology diagnoses. Joint angle evaluation techniques can be applied to improve sports performance and provide feedback information for prostheses control. Polymer optical fiber (POF) sensors are presented as a novel method to evaluate joint angles, because they are compact, lightweight, flexible and immune to electromagnetic interference. This study aimed to characterize and implement a new portable and wearable system to measure angles based on a POF curvature sensor. This study also aimed to present the system performance in bench tests and in the measurement of the elbow joint in ten participants, comparing the results with a consolidated resistive goniometer. Results showed high repeatability of sensors between cycles and high similarity of behavior with the potentiometer, with the advantage of being more ergonomic. The proposed sensor presented errors comparable to the literature and showed some advantages over other goniometers, such as the inertial measurement unit (IMU) sensor and over other types of POF sensors. This demonstrates its applicability for joint angle evaluation. Full article
(This article belongs to the Special Issue Optical Fiber Sensors: Development and Applications)
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Review

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Open AccessReview
Fiber Bragg Gratings Sensors for Aircraft Wing Shape Measurement: Recent Applications and Technical Analysis
Sensors 2019, 19(1), 55; https://doi.org/10.3390/s19010055 - 23 Dec 2018
Cited by 7
Abstract
The safety monitoring and tracking of aircraft is becoming more and more important. Under aerodynamic loading, the aircraft wing will produce large bending and torsional deformation, which seriously affects the safety of aircraft. The variation of load on the aircraft wing directly affects [...] Read more.
The safety monitoring and tracking of aircraft is becoming more and more important. Under aerodynamic loading, the aircraft wing will produce large bending and torsional deformation, which seriously affects the safety of aircraft. The variation of load on the aircraft wing directly affects the ground observation performance of the aircraft baseline. To compensate for baseline deformations caused by wing deformations, it is necessary to accurately obtain the deformation of the wing shape. The traditional aircraft wing shape measurement methods cannot meet the requirements of small size, light weight, low cost, anti-electromagnetic interference, and adapting to complex environment at the same time, the fiber optic sensing technology for aircraft wing shape measurement has been gradually proved to be a real time and online dynamic measurement method with many excellent characteristics. The principle technical characteristics and bonding technology of fiber Bragg grating sensors (FBGs) are reviewed in this paper. The advantages and disadvantages of other measurement methods are compared and analyzed and the application status of FBG sensing technology for aircraft wing shape measurement is emphatically analyzed. Finally, comprehensive suggestions for improving the accuracy of aircraft wing shape measurement based on FBG sensing technology is put forward. Full article
(This article belongs to the Special Issue Optical Fiber Sensors: Development and Applications)
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