2023
DOI: 10.1002/adpr.202300106
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Antithermal Quenching and Multiparametric Temperature Sensing from Mn2+/Tb3+‐Codoped Ca2LaTaO6 Phosphor

Abstract: Luminescence thermometry plays significant roles in various fields including industrial production, environmental detection, aerospace, and medicine. However, its accuracy improvement remains highly challenging due to the thermal quenching effect of phosphors. Herein, for the first time, a thermal‐activated electron compensation Mn2+‐ and Tb3+‐codoped Ca2LaTaO6 phosphor is developed for multiparametric temperature sensing with tunable emission of Mn2+ and antithermal quenching emission of Tb3+, leading to exce… Show more

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Cited by 17 publications
(3 citation statements)
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“…Recently, RE ion-activated thermometers based on the FIR technique with advantages of real-time monitoring and remote control have been considered as promising candidates for a non-contact temperature probe, and the FIR can be derived and expressed as follows: 39 where T is the temperature, and A , B , and C are constants. As illustrated in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Recently, RE ion-activated thermometers based on the FIR technique with advantages of real-time monitoring and remote control have been considered as promising candidates for a non-contact temperature probe, and the FIR can be derived and expressed as follows: 39 where T is the temperature, and A , B , and C are constants. As illustrated in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…A noise floor of 13 mK/Hz 1/2 was achieved, resulting in a readout speed orders of magnitude faster than other all-optical methods with similar spatial resolution and temperature uncertainty. Chen et al 263 used multiple linear regression to improve the temperature sensitivity and reduce the temperature uncertainty of Mn 2+ / Tb 3+ codoped Ca 2 LaTaO 6 luminescent thermometers. Maturi et al 264 applied multiparametric analysis and multiple linear regression to thermometry based on green fluorescent protein and Ag 2 S nanoparticles, demonstrating temperature uncertainties as low as 0.05 K. Ximendes et al 265 applied a dimensionality reduction approach to calibration data sets obtained from nanoparticles containing Yb 3+ , Nd 3+ , and Er 3+ and Ag 2 S nanoparticles.…”
Section: Advanced Data Analysis and Machine Learning (Ml) Approachesmentioning
confidence: 99%
“…Therefore, some researchers have contemplated implementing multi-parameter based thermal sensing strategies to augment measurement precision. 24–27 Most recently, an increasing contingent of scientists has been devoted to boosting luminescence thermometry via machine learning technologies. 28–36 E. Ximendes employed dimensionality reduction in spectral data to obtain sensing parameters, which were superior to the LIR.…”
Section: Introductionmentioning
confidence: 99%