基于多元线性回归增强的RGB发光测温法用于高灵敏度热读出
Multiple Linear Regression-Enhanced RGB-based Luminescence Thermometry for High-sensitivity Thermal Readout
- Institute of Low Temperature and Structure Research, Polish Academy of Sciences（波兰科学院低温结构研究所）
- Faculty of Chemistry, Adam Mickiewicz University（亚当·密茨凯维奇大学化学学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究首次将数码相机RGB成像与多元线性回归结合，使相对灵敏度提升3倍以上，实现高灵敏度空间分辨发光测温。
AI中文摘要：
基于发光体的温度传感和成像的实际应用需要简单、用户友好的方法，以便实现便捷且灵敏的温度读出。据我们所知，这是首次将使用传统数码相机的RGB热成像与多元线性回归（MLR）相结合，以实现直接且高灵敏度的温度测定和空间分辨热成像。重要的是，与仅基于G/R或B/R强度比的传统分析相比，MLR方法的实施将相对灵敏度提高了3倍以上。将Ca3Al2O6:Mn2+-Ce3+用作发光温度探针，其中Ce3+和Mn2+发射带之间的强度比表现出显著的温度依赖性，使得能够通过几种互补方法进行温度读出。这些方法包括传统的发光强度比测温法（SR = 1.46% K-1）、CIE 1931色度坐标分析（SRx = 0.45% K-1和SRy = 0.14% K-1），以及使用数码相机的RGB热传感和成像。这种多模态光学响应，加上基于相机的读出的可及性以及MLR带来的显著灵敏度增强，为空间分辨发光测温法建立了一种实用策略。
英文摘要：
The practical implementation of phosphors for luminescence-based thermal sensing and imaging requires simple, user-friendly approaches that enable convenient and sensitive temperature readout. To the best of our knowledge, this is the first demonstration of combining RGB-based thermal imaging using a conventional digital camera with multiple linear regression (MLR) to achieve straightforward and highly sensitive temperature determination and spatially resolved thermal imaging. Importantly, the implementation of the MLR approach enhances the relative sensitivity by more than 3-fold, compared with conventional analysis based solely on the G/R or B/R intensity ratios. The application of Ca3Al2O6:Mn2+-Ce3+ as a luminescent temperature probe, in which the intensity ratio between the Ce3+ and Mn2+ emission bands exhibits a pronounced temperature dependence, enables temperature readout through several complementary approaches. These include conventional luminescence intensity ratio thermometry (SR = 1.46% K-1), analysis of the CIE 1931 chromaticity coordinates (SRx = 0.45% K-1 and SRy = 0.14% K-1), as well as RGB-based thermal sensing and imaging using a digital camera. This multimodal optical response, together with the accessibility of camera-based readout and the substantial sensitivity enhancement enabled by MLR, establishes a practical strategy for spatially resolved luminescence thermometry.
