Comparison of Performance between Single- and Multiparameter Luminescence Thermometry Methods Based on the Mn(5+) Near-Infrared Emission

Herein, we investigate the performance of single- and multiparametric luminescence thermometry founded on the temperature-dependent spectral features of Ca(6)BaP(4)O(17):Mn(5+) 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 (1)E → (3)A(2) and (3)T(2) → (3)A(2) electronic transitions and Stokes and anti-Stokes vibronic sidebands at 320 cm(−1) and 800 cm(−1) from the maximum of (1)E → (3)A(2) emission. Upon temperature increase, the (3)T(2) and Stokes bands gained in intensity while the maximum of (1)E 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 (1)E and (3)T(2) states, between Stokes and anti-Stokes emission sidebands, and at the (1)E energy maximum. The multiparametric luminescence thermometry involving the same spectral features showed similar performance, comparable to the best single-parameter thermometry.