发表机构
Institute of Low Temperature and Structure Research Polish Academy of Sciences; State Key Laboratory of High Pressure and Superhard Materials, College of Physics, Jilin University; Departamento de Física, and IUdEA, Universidad de La Laguna（波兰科学院低温结构研究所; 吉林大学物理学院高压与超硬材料国家重点实验室; 拉帕尔马大学物理系和IUdEA）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过浓度可调的KGaGeO4:Bi3+,Eu3+平台实现温度与压力多模态传感，利用RGB成像结合多元线性回归将颜色变化转化为定量图谱，显著提升灵敏度，首次实现MLR辅助的定量发光压力传感。
AI 中文摘要
通过成分控制将单一发光主体转变为不同的温度和压力传感系统，为多功能光学传感器提供了一条强有力的途径。在此，我们介绍一种浓度可调的KGaGeO4:Bi3+,Eu3+平台，其传感功能可通过调节掺杂剂平衡而选择性地导向测温或测压。光谱上不同的Bi3+中心和Eu3+发射对温度和压力表现出差异化的响应，从而通过比率发光、色度坐标、光谱位移和可见颜色变化实现多模态读出。重要的是，这些颜色变化通过RGB成像结合多元线性回归（MLR）被转化为定量的温度和压力图谱。通过同时利用多个颜色通道，MLR将最大相对热灵敏度从传统RGB比率的约1% K-1提高到8.8% K-1，并将压力灵敏度从169% GPa-1提高到近721% GPa-1。这项工作首次展示了MLR辅助RGB分析用于定量发光压力传感。所提出的策略整合了成分控制的功能性、多模态光谱传感、直接视觉读出和数据辅助成像，展示了材料工程与多变量分析之间的协同作用，以实现高灵敏度的多功能光学传感。
英文摘要
Transforming a single luminescent host into distinct temperature- and pressure-sensing systems through composition control provides a powerful route toward multifunctional optical sensors. Here, we introduce a concentration-tunable KGaGeO4:Bi3+,Eu3+ platform whose sensing function can be selectively directed toward thermometry or manometry by adjusting the dopant balance. Spectroscopically distinct Bi3+ centers and Eu3+ emission exhibit differentiated responses to temperature and pressure, enabling multimodal readout through ratiometric luminescence, chromaticity coordinates, spectral shifts, and visible color changes. Importantly, these color changes were translated into quantitative temperature and pressure maps using RGB imaging combined with multiple linear regression (MLR). By simultaneously exploiting multiple color channels, MLR increased the maximum relative thermal sensitivity from approximately 1% K-1 for conventional RGB ratios to 8.8% K-1 and the pressure sensitivity from 169% GPa-1 to nearly 721% GPa-1. This work presents the first application of MLR-assisted RGB analysis for quantitative luminescence pressure sensing. The proposed strategy integrates composition-controlled functionality, multimodal spectroscopic sensing, direct visual readout, and data-assisted imaging, demonstrating the synergy between material engineering and multivariate analysis for highly sensitive multifunctional optical sensing.
