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Optical Thermometry: Concepts, Methods, and Applications
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Optical Thermometry: Concepts, Methods, and Applications

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

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 8936

Special Issue Editors

Dr. Liwang Liu

E-Mail Website
Guest Editor
Laboratory for soft matter and biophysics, Department of physics and astronomy, KU Leuven, 3001-Heverlee, Belgium
Interests: fast optical thermometry; thermal imaging; neural network recognition
Prof. Dr. Ping Lu

E-Mail Website
Guest Editor
School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: photonics; optical fiber sensors; fiber acoustic detection; gas detection
Special Issues, Collections and Topics in MDPI journals
Dr. Yovan de Coene

E-Mail Website
Guest Editor
Chemistry, KU Leuven, Leuven, Belgium
Interests: nonlinear optics; plasmonics; scattering; spectroscopy; biological interfaces; optical read-out
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Temperature is one of the fundamental thermodynamic quantities of many particle systems and plays a key role in the behavior of matter. Its measurement is ubiquitous in scientific research and industrial applications. Hence, developing novel sensors for temperature monitoring has long been an active and dynamic field of research. Optical thermometry allows optical read outs of local temperature and is able to circumvent many of the challenges and limitations encountered in other traditional thermometry techniques, which are mostly based on contact electrical resistance probes. Optical thermometry possesses the advantages of noncontactness and corrosion resistance, high accuracy and fast response, and multiplex and high-resolution imaging capacity. 

This Special Issue addresses the state-of-the-art research on optical thermometry, with emphasis on technical concepts, instrumentation, implementation, calibration algorithm, and novel applications. Topics of interest include but are not limited to  both development and application aspects, thermometry or temperature sensing based on fluorescence or photoluminescence, fiber-optics, and photonic bandgap.

Dr. Liwang Liu
Prof. Dr. Ping Lu
Dr. Yovan de Coene
Guest Editors

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • thermometry
  • optical probe
  • thermochromic fluorescence
  • fiber-optic sensor
  • microfluidic heating
  • photonic and plasmonic sensors

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Published Papers (4 papers)

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Research

14 pages, 5075 KiB  
Article
Structure, Luminescence and Temperature Detection Capability of [C(NH2)3]M(HCOO)3 (M = Mg2+, Mn2+, Zn2+) Hybrid Organic–Inorganic Formate Perovskites Containing Cr3+ Ions
by Dagmara Stefańska, Adam Kabański, Thi Hong Quan Vu, Marek Adaszyński and Maciej Ptak
Sensors 2023, 23(14), 6259; https://doi.org/10.3390/s23146259 - 9 Jul 2023
Cited by 4 | Viewed by 1630
Abstract
Metal-organic frameworks are of great interest to scientists from various fields. This group also includes organic–inorganic hybrids with a perovskite structure. Recently their structural, phonon, and luminescent properties have been paid much attention. However, a new way of characterization of these materials has [...] Read more.
Metal-organic frameworks are of great interest to scientists from various fields. This group also includes organic–inorganic hybrids with a perovskite structure. Recently their structural, phonon, and luminescent properties have been paid much attention. However, a new way of characterization of these materials has become luminescence thermometry. Herein, we report the structure, luminescence, and temperature detection ability of formate organic–inorganic perovskite [C(NH2)3]M(HCOO)3 (Mg2+, Mn2+, Zn2+) doped with Cr3+ ions. Crystal field strength (Dq/B) and Racah parameters were determined based on diffuse reflectance spectra. It was shown that Cr3+ ions are positioned in the intermediate crystal field or close to it with a Dq/B range of 2.29–2.41. The co-existence of the spin-forbidden and spin-allowed transitions of Cr3+ ions enable the proposal of an approach for remote readout of the temperature. The relative sensitivity (Sr) can be easily modified by sample composition and Cr3+ ions concentration. The luminescent thermometer based on the 2E/4T2g transitions has the relative sensitivity Sr of 2.08%K−1 at 90 K for [C(NH2)3]Mg(HCOO)3: 1% Cr3+ and decrease to 1.20%K−1 at 100 K and 1.08%K−1 at 90 K for Mn2+ and Zn2+ analogs, respectively. Full article
(This article belongs to the Special Issue Optical Thermometry: Concepts, Methods, and Applications)
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11 pages, 1530 KiB  
Article
Comparison of Performance between Single- and Multiparameter Luminescence Thermometry Methods Based on the Mn5+ Near-Infrared Emission
by Tahani A. Alrebdi, Abdullah N. Alodhayb, Zoran Ristić and Miroslav D. Dramićanin
Sensors 2023, 23(8), 3839; https://doi.org/10.3390/s23083839 - 9 Apr 2023
Cited by 7 | Viewed by 1653
Abstract
Herein, we investigate the performance of single- and multiparametric luminescence thermometry founded on the temperature-dependent spectral features of Ca6BaP4O17:Mn5+ near-infrared emission. The material was prepared by a conventional steady-state synthesis, and its photoluminescence emission was measured [...] Read more.
Herein, we investigate the performance of single- and multiparametric luminescence thermometry founded on the temperature-dependent spectral features of Ca6BaP4O17:Mn5+ near-infrared emission. The material was prepared by a conventional steady-state synthesis, and its photoluminescence emission was measured from 7500 to 10,000 cm−1 over the 293–373 K temperature range in 5 K increments. The spectra are composed of the emissions from 1E → 3A2 and 3T2 → 3A2 electronic transitions and Stokes and anti-Stokes vibronic sidebands at 320 cm−1 and 800 cm−1 from the maximum of 1E → 3A2 emission. Upon temperature increase, the 3T2 and Stokes bands gained in intensity while the maximum of 1E emission band is redshifted. We introduced the procedure for the linearization and feature scaling of input variables for linear multiparametric regression. Then, we experimentally determined accuracies and precisions of the luminescence thermometry based on luminescence intensity ratios between emissions from the 1E and 3T2 states, between Stokes and anti-Stokes emission sidebands, and at the 1E energy maximum. The multiparametric luminescence thermometry involving the same spectral features showed similar performance, comparable to the best single-parameter thermometry. Full article
(This article belongs to the Special Issue Optical Thermometry: Concepts, Methods, and Applications)
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12 pages, 2747 KiB  
Article
Comprehensive Numerical Analysis of Temperature Sensitivity of Spherical Microresonators Based on Silica and Soft Glasses
by Maria P. Marisova, Alexey V. Andrianov and Elena A. Anashkina
Sensors 2023, 23(2), 717; https://doi.org/10.3390/s23020717 - 8 Jan 2023
Cited by 2 | Viewed by 2100
Abstract
In recent years, the use of optical methods for temperature measurements has been attracting increased attention. High-performance miniature sensors can be based on glass microspheres with whispering gallery modes (WGMs), as their resonant frequencies shift in response to the ambient parameter variations. In [...] Read more.
In recent years, the use of optical methods for temperature measurements has been attracting increased attention. High-performance miniature sensors can be based on glass microspheres with whispering gallery modes (WGMs), as their resonant frequencies shift in response to the ambient parameter variations. In this work, we present a systematic comprehensive numerical analysis of temperature microsensors with a realistic design based on standard silica fibers, as well as commercially available special soft glass fibers (GeO2, tellurite, As2S3, and As2Se3). Possible experimental implementation and some practical recommendations are discussed in detail. We developed a realistic numerical model that takes into account the spectral and temperature dependence of basic glass characteristics in a wide parameter range. To the best of our knowledge, spherical temperature microsensors based on the majority of the considered glass fibers have been investigated for the first time. The highest sensitivity dλ/dT was obtained for the chalcogenide As2Se3 and As2S3 microspheres: for measurements at room temperature conditions at a wavelength of λ = 1.55 μm, it was as high as 57 pm/K and 36 pm/K, correspondingly, which is several times larger than for common silica glass (9.4 pm/K). Importantly, dλ/dT was almost independent of microresonator size, WGM polarization and structure; this is a practically crucial feature showing the robustness of the sensing devices of the proposed design. Full article
(This article belongs to the Special Issue Optical Thermometry: Concepts, Methods, and Applications)
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11 pages, 3175 KiB  
Article
2D Temperature Field Reconstruction Using Optical Frequency Domain Reflectometry and Machine-Learning Algorithms
by Alexey Wolf, Nikita Shabalov, Vladimir Kamynin and Alexey Kokhanovskiy
Sensors 2022, 22(20), 7810; https://doi.org/10.3390/s22207810 - 14 Oct 2022
Viewed by 2023
Abstract
We present experimental results on the reconstruction of the 2D temperature field on the surface of a 250 × 250 mm sensor panel based on the distributed frequency shift measured by an optical backscatter reflectometer. A linear regression and a feed-forward neural network [...] Read more.
We present experimental results on the reconstruction of the 2D temperature field on the surface of a 250 × 250 mm sensor panel based on the distributed frequency shift measured by an optical backscatter reflectometer. A linear regression and a feed-forward neural network algorithm, trained by varying the temperature field and capturing thermal images of the panel, are used for the reconstruction. In this approach, we do not use any information about the exact trajectory of the fiber, material properties of the sensor panel, and a temperature sensitivity coefficient of the fiber. Mean absolute errors of 0.118 °C and 0.086 °C are achieved in the case of linear regression and feed-forward neural network, respectively. Full article
(This article belongs to the Special Issue Optical Thermometry: Concepts, Methods, and Applications)
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