2021
DOI: 10.1134/s0030400x21030048
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Calibration of Temperature by Normalized Up-Conversion Fluorescence Spectra of Germanate Glasses and Glass Ceramics Doped with Erbium and Ytterbium Ions

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Cited by 4 publications
(3 citation statements)
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“…In addition to reliability, this multiparametric approach could significantly improve the relative thermal sensitivity and temperature resolution of the sensor using a multiple linear regression-based strategy proposed by Carlos et al [ 33 , 34 ]. Another strategy to use several temperature-dependent luminescence parameters for the enhancement of thermometric characteristics has been reported by Khodasevich et al [ 35 ]. Authors developed a multivariate model of temperature calibration by the spectra of green upconversion fluorescence of GeO 2 –Na 2 O–Yb 2 O 3 –MgO–La 2 O 3 –Er 2 O 3 glass ceramics based on the principal component analysis, cluster analysis, and the interval projection to latent structures.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to reliability, this multiparametric approach could significantly improve the relative thermal sensitivity and temperature resolution of the sensor using a multiple linear regression-based strategy proposed by Carlos et al [ 33 , 34 ]. Another strategy to use several temperature-dependent luminescence parameters for the enhancement of thermometric characteristics has been reported by Khodasevich et al [ 35 ]. Authors developed a multivariate model of temperature calibration by the spectra of green upconversion fluorescence of GeO 2 –Na 2 O–Yb 2 O 3 –MgO–La 2 O 3 –Er 2 O 3 glass ceramics based on the principal component analysis, cluster analysis, and the interval projection to latent structures.…”
Section: Introductionmentioning
confidence: 99%
“…The great majority of luminescence thermometers that have been investigated so far rely on a single parameter to deliver an accurate temperature reading. The utilization of multiple thermometric parameters within the context of multimodal [19][20][21][22][23] or the multiparametric approach [24][25][26][27][28], on the other hand, has the potential to enhance the performance of thermometers. So far, the advantage of multiparametric thermometry has been realized through the application of multiple linear regression or similar statistical techniques and artificial neural networks [10,29,30].…”
Section: Introductionmentioning
confidence: 99%
“…5 TiO 3 :Yb 3+ ,Nd 3+ , Y 2 O 3 : Yb 3+ ,Nd 3+ , and (LiMg) 2 Mo 3 O 12 : Yb 3+ ,Nd 3+ [14]. The second approach exploits multiparameter temperature readings, advanced statistical techniques, and artificial neural networks [23][24][25][26][27][28][29][30] to account for the largest variations between photoluminescence levels collected at different temperatures to achieve the largest possible sensitivity.…”
Section: Introductionmentioning
confidence: 99%