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Specialty Optical Fiber-Based Sensors

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

Deadline for manuscript submissions: 30 April 2024 | Viewed by 2317

Special Issue Editor


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Guest Editor
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: structured light; orbital angular momentum; few-mode fibers; multi-mode fibers; multi-core fibers; photonic integration
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Special Issue Information

Dear Colleagues,

Novel specialty optical fibers refer to optical fibers that have been engineered in materials and structures and undergone post-processing to yield novel functionalities and applications. Specialty optical fibers composed of different materials offer additional possibilities for improving sensor sensitivities by exploiting the properties of inserted materials (glass, metal, semiconductor, polymer, etc.). Sensor performances are furthermore improved by applying post-processing techniques to the fibers in order to enhance light–matter interactions. Extended sensing functionalities can be achieved by specialty optical fibers, accessing the space domain of light waves (few-mode fibers, multi-mode fibers, multi-core fibers, etc.). The associations of specialty optical fibers with robust and/or advanced sensing systems (fiber gratings, fiber interferometers, fiber metasurfaces, plasmonic devices, etc.) lead to new sensing possibilities.

The aim of this Special Issue is to collect and highlight the lasted advances in fiber sensors based on specialty optical fibers and their applications. We welcome the submission of original research papers or review papers that focus on the design and experimental performance of fiber sensors, as well as on the design, development, and applications of novel specialty optical fibers.

Prof. Dr. Jian Wang
Guest Editor

Manuscript Submission Information

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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.

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Published Papers (2 papers)

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Research

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29 pages, 13558 KiB  
Article
Experimental Investigation for Monitoring Corrosion Using Plastic Optical Fiber Sensors
by Liang Hou, Shinichi Akutagawa, Yuki Tomoshige and Takashi Kimura
Sensors 2024, 24(3), 885; https://doi.org/10.3390/s24030885 - 29 Jan 2024
Viewed by 524
Abstract
The timely and cost-effective identification of the onset of corrosion and its progress would be critical for effectively maintaining structural integrity. Consequently, a series of fundamental experiments were conducted to capture the corrosion process on a steel plate using a new type of [...] Read more.
The timely and cost-effective identification of the onset of corrosion and its progress would be critical for effectively maintaining structural integrity. Consequently, a series of fundamental experiments were conducted to capture the corrosion process on a steel plate using a new type of plastic optical fiber (POF) sensor. Electrolytic corrosion experiments were performed on a 5 mm thick steel plate immersed in an aqueous solution. The POF sensor installed on the upper side of the plate and directed downward detected the upward progression of the corrosion zone that formed on the underside of the plate. The results showed that the POF sensors could detect the onset of the upward-progressing corrosion front as it passed the 1 and 2 mm marks related to the thickness of the corroded zone. The POF sensors were designed to optically identify corrosion; therefore, the data obtained by these sensors could be processed using a newly developed graphic application software for smartphones and also identified by the naked eye. This method offered an easy and cost-effective solution for verifying the corrosion state of structural components. Full article
(This article belongs to the Special Issue Specialty Optical Fiber-Based Sensors)
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Review

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35 pages, 3105 KiB  
Review
Plasmonic Nanostructure Biosensors: A Review
by Huimin Wang, Tao Wang, Xuyang Yuan, Yuandong Wang, Xinzhao Yue, Lu Wang, Jinyan Zhang and Jian Wang
Sensors 2023, 23(19), 8156; https://doi.org/10.3390/s23198156 - 28 Sep 2023
Cited by 1 | Viewed by 1431
Abstract
Plasmonic nanostructure biosensors based on metal are a powerful tool in the biosensing field. Surface plasmon resonance (SPR) can be classified into localized surface plasmon resonance (LSPR) and propagating surface plasmon polariton (PSPP), based on the transmission mode. Initially, the physical principles of [...] Read more.
Plasmonic nanostructure biosensors based on metal are a powerful tool in the biosensing field. Surface plasmon resonance (SPR) can be classified into localized surface plasmon resonance (LSPR) and propagating surface plasmon polariton (PSPP), based on the transmission mode. Initially, the physical principles of LSPR and PSPP are elaborated. In what follows, the recent development of the biosensors related to SPR principle is summarized. For clarity, they are categorized into three groups according to the sensing principle: (i) inherent resonance-based biosensors, which are sensitive to the refractive index changes of the surroundings; (ii) plasmon nanoruler biosensors in which the distances of the nanostructure can be changed by biomolecules at the nanoscale; and (iii) surface-enhanced Raman scattering biosensors in which the nanostructure serves as an amplifier for Raman scattering signals. Moreover, the advanced application of single-molecule detection is discussed in terms of metal nanoparticle and nanopore structures. The review concludes by providing perspectives on the future development of plasmonic nanostructure biosensors. Full article
(This article belongs to the Special Issue Specialty Optical Fiber-Based Sensors)
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