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发光测温法聚焦:基础、挑战与前沿应用

Spotlight on Luminescence Thermometry: Basics, Challenges, and Cutting-Edge Applications.

作者信息

Brites Carlos D S, Marin Riccardo, Suta Markus, Carneiro Neto Albano N, Ximendes Erving, Jaque Daniel, Carlos Luís D

机构信息

Phantom-g, CICECO, Departamento de Física, Universidade de Aveiro, Campus Santiago, Aveiro, 3810-193, Portugal.

Departamento de Física de Materiales, Nanomaterials for Bioimaging Group (NanoBIG), Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, 28049, Spain.

出版信息

Adv Mater. 2023 Sep;35(36):e2302749. doi: 10.1002/adma.202302749. Epub 2023 Jul 21.

Abstract

Luminescence (nano)thermometry is a remote sensing technique that relies on the temperature dependency of the luminescence features (e.g., bandshape, peak energy or intensity, and excited state lifetimes and risetimes) of a phosphor to measure temperature. This technique provides precise thermal readouts with superior spatial resolution in short acquisition times. Although luminescence thermometry is just starting to become a more mature subject, it exhibits enormous potential in several areas, e.g., optoelectronics, photonics, micro- and nanofluidics, and nanomedicine. This work reviews the latest trends in the field, including the establishment of a comprehensive theoretical background and standardized practices. The reliability, repeatability, and reproducibility of the technique are also discussed, along with the use of multiparametric analysis and artificial-intelligence algorithms to enhance thermal readouts. In addition, examples are provided to underscore the challenges that luminescence thermometry faces, alongside the need for a continuous search and design of new materials, experimental techniques, and analysis procedures to improve the competitiveness, accessibility, and popularity of the technology.

摘要

发光(纳米)温度测量法是一种遥感技术,它依靠磷光体发光特性(如能带形状、峰值能量或强度、激发态寿命和上升时间)对温度的依赖性来测量温度。该技术能在短采集时间内提供具有卓越空间分辨率的精确热读数。尽管发光温度测量法刚刚开始成为一个更成熟的学科,但它在几个领域展现出了巨大潜力,如光电子学、光子学、微纳流体学和纳米医学。这项工作回顾了该领域的最新趋势,包括建立全面的理论背景和标准化实践。还讨论了该技术的可靠性、可重复性和再现性,以及使用多参数分析和人工智能算法来增强热读数。此外,还提供了实例以强调发光温度测量法面临的挑战,以及持续探索和设计新材料、实验技术和分析程序以提高该技术的竞争力、可及性和普及程度的必要性。

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