Comparison of Performance between Single- and Multiparameter Luminescence Thermometry Methods Based on the Mn5+ Near-Infrared Emission

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 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.

Single vs. mutliparametric luminescence thermometry: the case of Eu3+-doped Ba3(VO4)2 nanophosphors

“…To overcome this obstacle, Alrebdi et al suggested a procedure for the linearization and feature scaling of input variables to perform linear multiparametric regression. 56 Still temperature calibration for each chosen luminescence parameter should be performed beforehand in both approaches.…”

“…51–54 The advantage of multiparametric thermometry has been demonstrated using multiple linear regression. 10,55,56 Despite the benefits, this strategy still requires the selection of thermometric parameters and the building of calibration for each parameter. Application of dimensionality reduction methods could ensure overcoming these difficulties.…”

Ion-induced bias in Ag2S luminescent nanothermometers

“…20,24 The possibility of using multiple thermometric parameters (intensity and peak position) is key in the context of this study, since the thermal readouts obtained with these two parameters are in agreement only if no bias is present. 25…”