New Trends in Optical Sensing Techniques

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Lasers, Light Sources and Sensors".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 1029

Editors


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Guest Editor
Departamento de Estudios Multidisciplinarios, División de Ingenierías, Universidad de Guanajuato, Av. Universidad s/n, Yuriria 38940, Guanajuato, Mexico
Interests: interferometry; optical sensors; optoelectronics; fabry-perot interferometer; fiber laser sensors; artificial intelligence; optical materials
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Departamento de Estudios Multidisciplinarios, División de Ingenierías, Universidad de Guanajuato, Av. Universidad s/n, Yuriria 38940, Guanajuato, Mexico
Interests: optical sensors; interferometry; fiber lasers; machine learning and artificial intelligence on sensor data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Optical sensing has been evolving rapidly in last decades, allowing us to measure with high precision different variables such as refractive index, gas concentration, temperature, curvature and torsion. Based on this, complex control and automation systems are implemented for practically all types of industry, from manufacturing to medical. In general, it is necessary to consider the physics of the materials, light sources and detectors, the interaction of matter with light for the design, simulation and implementation of an optical sensing system. Moreover, it is compulsory to consider aspects related to the signal acquisition and processing system that will be used to recover the sensor signal and to provide the overall output. In all these fields recently, new techniques are emerging to enhance optical sensing systems' performance, such as artificial intelligence. Therefore, this Special Issue is intended for the presentation of new techniques for modeling, designing, fabricating and implementing optical sensing systems and their applications.

Topics include, but are not limited to, the following domains:

  • All-fiber sensors.
  • Laser-based sensors.
  • Sensors based on interferometric systems.
  • Biosensors.
  • Optical chemical sensors.
  • Application of machine learning algorithms in optical sensing systems.
  • Artificial intelligence on sensor data.
  • Multiparametric optical sensing systems.
  • Optical sensing for special applications.

Prof. Dr. Everardo Vargas-Rodriguez
Prof. Dr. Ana Dinora Guzman-Chavez
Guest Editors

Manuscript Submission Information

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Keywords

  • optical sensors
  • interferometry
  • fiber sensors
  • biosensors
  • laser sensing systems
  • optical materials
  • artificial intelligence

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Published Papers (2 papers)

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Research

14 pages, 3930 KB  
Article
Design of a Nanovoid Ring-Core Fiber for Ultra-Low-Bending-Loss Few-Mode Transmission
by Asma Mimouni, Younès Messaddeq and Bora Ung
Photonics 2026, 13(9), 810; https://doi.org/10.3390/photonics13090810 - 25 Aug 2026
Abstract
We present a nanovoid-assisted ring-core fiber designed for low-bending-loss few-mode transmission. We develop a 3D model that accounts for stress-induced perturbation in bending-loss evaluation. Our model yields closer agreement with published experimental data compared to conventional conformal mapping. The nanovoid ring-core fiber reduces [...] Read more.
We present a nanovoid-assisted ring-core fiber designed for low-bending-loss few-mode transmission. We develop a 3D model that accounts for stress-induced perturbation in bending-loss evaluation. Our model yields closer agreement with published experimental data compared to conventional conformal mapping. The nanovoid ring-core fiber reduces the bending loss of higher-order modes by up to three orders of magnitude, and improves the degeneracy of the higher-order pair nearly ten-fold at tight bending radii. The proposed fiber maintains the same intermodal separation compared to the reference ring-core fiber across all investigated radii. Full article
(This article belongs to the Special Issue New Trends in Optical Sensing Techniques)
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16 pages, 2021 KB  
Article
PPB-Level Detection of Dissolved Acetylene in Transformer Oil Based on a Clamp-Type Quartz-Enhanced Photoacoustic Spectroscopy System
by Yihua Qian, Yaohong Zhao, Qing Wang, Kun Jia, Guobin Zhong and Huadan Zheng
Photonics 2026, 13(6), 545; https://doi.org/10.3390/photonics13060545 - 1 Jun 2026
Viewed by 630
Abstract
Dissolved gas analysis (DGA) is an essential technique for the fault diagnosis and condition monitoring of oil-immersed power transformers. Among various characteristic gases, acetylene (C2H2) is a key indicator of high-energy discharge and arc faults. In this work, a [...] Read more.
Dissolved gas analysis (DGA) is an essential technique for the fault diagnosis and condition monitoring of oil-immersed power transformers. Among various characteristic gases, acetylene (C2H2) is a key indicator of high-energy discharge and arc faults. In this work, a high-sensitivity dissolved acetylene detection system is developed based on clamp-type quartz-enhanced photoacoustic spectroscopy (QEPAS). A specially designed clamp-type quartz tuning fork (Clamp-type QTF) is employed as the acoustic transducer to improve acoustic coupling efficiency and optical alignment tolerance. Compared with conventional standard quartz tuning forks, the clamp-type structure exhibits enlarged acoustic interaction volume, lower damping loss, and higher signal collection capability. A near-infrared distributed feedback (DFB) laser operating at 1531.6 nm is used as the excitation source. The dissolved gas is extracted from transformer oil using a headspace degassing module and introduced into the QEPAS cell for real-time measurement. Experimental results showed that the developed system achieves a 1σ-based SNR-estimated detection limit of 17 ppb at a 50 s integration time, derived from the continuous measurement of 0.75 ppm C2H2, with excellent linearity in the concentration range from 100 ppm to 500 ppm. The measured concentration of dissolved acetylene in transformer oil is in good agreement with gas chromatography (GC), validating the effectiveness and practical applicability of the proposed system. Full article
(This article belongs to the Special Issue New Trends in Optical Sensing Techniques)
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