基于Er^(3+)的力致温度传感  

Mechanically excited thermometry in erbium ions

作　　者：李磊朋 宁静静 蔡重阳 朱铮 韩逸潇 郑元钿 彭登峰 邱建荣 杨艳民 Leipeng Li;Jingjing Ning;Chongyang Cai;Zheng Zhu;Yixiao Han;Yuantian Zheng;Dengfeng Peng;Jianrong Qiu;Yanmin Yang(Hebei Key Laboratory of Optic-electronic Information and Materials,College of Physics Science and Technology,Hebei University,Baoding 071002,China;College of Physics and Optoelectronic Engineering,Shenzhen University,Shenzhen 518060,China;State Key Laboratory of Modern Optical Instrumentation,College of Optical Science and Engineering,Zhejiang University,Hangzhou 310058,China)

机构地区：[1]Hebei Key Laboratory of Optic-electronic Information and Materials,College of Physics Science and Technology,Hebei University,Baoding 071002,China [2]College of Physics and Optoelectronic Engineering,Shenzhen University,Shenzhen 518060,China [3]State Key Laboratory of Modern Optical Instrumentation,College of Optical Science and Engineering,Zhejiang University,Hangzhou 310058,China

出　　处：《Science China Materials》2023年第4期1615-1622,共8页中国科学（材料科学（英文版）

基　　金：financially supported by the National Natural Science Foundation of China(12104125,11974097,61875136,and 52002246);the Advanced Talents Incubation Program of Hebei University(521100221006);the Natural Science Foundation of Hebei Province(A2019201073);Guangdong Provincial Science Fund for Distinguished Yong Scholars(2022B1515020054);the Fundamental Research Project of Guangdong Province(2020A1515011315);the Scientific Research Foundation as PhaseⅡconstruction of High Level University for the Youth Scholars of Shenzhen University 2019(000002110223)。

摘　　要：近年来,力致发光(ML)材料引起了科研人员的广泛关注,因其在众多领域特别是温度传感领域具有潜在的应用价值.值得注意的是,基于ML的温度传感尚处于萌芽期,且目前没有理论支持.本文中,我们基于CaZnOS:Er^(3+)力致发光材料和玻尔兹曼分布建立了ML温度传感技术的理论框架.在外部应力刺激下,CaZnOS:Er^(3+)力致发光材料能够发射出明亮的绿色荧光,且遵从玻尔兹曼分布理论.基于此,我们证实了该ML温度传感理论框架的适用性,并将其应用到实际案例中,即监测水壶的温度.与此同时,我们也开发了CaZnOS:Er^(3+)力致发光材料的多重功能,验证了其在动态防伪和信息加密提取方面的应用.简言之,本工作从实验和理论两方面进行研究,奠定了ML温度传感技术实用化的基础.Mechanoluminescence(ML)is used in many areas,in particular for ML-based optical thermometry.However,ML-based thermometry is limited owing to the lack of a strong theoretical foundation.Here,using CaZnOS:Er^(3+)and the well-established Boltzmann distribution,a solid and novel ML thermometry framework is established.Upon external force stimulation,CaZnOS:Er^(3+)generates bright green ML ascribed to the^(2)H_(11/2)→^(4)I_(15/2)and^(4)S_(3/2)→^(4)I_(15/2)transitions of Er^(3+).And the populations at the^(2)H_(11/2)and^(4)S_(3/2)excited states are confirmed to follow the Boltzmann distribution during the ML process.The utility of this novel ML thermometry framework is demonstrated here on a practical example.Further,potential applications of CaZnOS:Er^(3+)to anti-counterfeiting and information encryption are discussed.These results demonstrate that CaZnOS:Er^(3+)luminescent materials are promising for multifunctional applications(especially for temperature sensing),and provide the foundation for future ML applications.

关 键 词：信息加密 温度传感 玻尔兹曼分布 力致发光 科研人员 外部应力 萌芽期 绿色荧光 

分 类 号：TP212.11[自动化与计算机技术—检测技术与自动化装置] TB34[自动化与计算机技术—控制科学与工程]