揭示能量转移机制和加速智能检测:用于近红外应用的Cr3+和Ni2+共掺杂Lu2CaMg2Si3O12荧光粉

IF 5.1 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zaidong Chen, Yuefei Xiang, Xinghui Qin, Lei Zhong, Hong Liao, Shiwen Liu, Jiaqi Wang, Kezhi Zheng, Dejian Hou, Lei Zhou and Mingmei Wu
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引用次数: 0

摘要

低蓝光吸收、低发光效率和低热稳定性是近红外II (NIR-II)荧光粉面临的关键问题,这些问题严重阻碍了它们在食品检测、医学成像和其他领域的应用。本文采用能量转移策略,将Cr3+引入Lu2CaMg2Si3O12:Ni2+中,增强蓝光吸收,从而提高其发光性能,包括量子效率和热稳定性。由于Cr3+→Ni2+具有优异的能量传递效率,与Lu2CaMg2Si3O12:Ni2+相比,Lu2CaMg2Si3O12:Cr3+,Ni2+的量子效率从23.0%提高到32.6%,热稳定性提高了18%。利用Dexter模型系统分析了过渡金属离子的能量传递机理。此外,由于Cr3+和Ni2+的温度响应存在差异,对该荧光粉的测温性能进行了研究。重要的是,提出了一种基于卷积神经网络模型的开创性食品成分检测方法,其检测成功率为100%。该研究不仅推动了新型蓝光可激发NIR-II荧光粉的发展,而且有助于智能照明技术的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Revealing energy transfer mechanisms and accelerating intelligent detection: Cr3+ and Ni2+ co-doped Lu2CaMg2Si3O12 phosphors for NIR applications†

Revealing energy transfer mechanisms and accelerating intelligent detection: Cr3+ and Ni2+ co-doped Lu2CaMg2Si3O12 phosphors for NIR applications†

The challenges of low blue light absorption, reduced luminous efficiency, and low thermal stability are critical issues confronting near-infrared II (NIR-II) phosphors, which significantly hinder their applications in food testing, medical imaging, and various other fields. Herein, an energy transfer strategy was adopted to enhance blue light absorption by introducing Cr3+ into Lu2CaMg2Si3O12:Ni2+, thereby enhancing their luminescence properties, including quantum efficiency and thermal stability. Given the superior energy transfer efficiency of Cr3+ → Ni2+, the quantum efficiency of Lu2CaMg2Si3O12:Cr3+,Ni2+ was increased from 23.0% to 32.6%, and the thermal stability improved by 18%, as compared to Lu2CaMg2Si3O12:Ni2+. Furthermore, the Dexter's model was employed to systematically analyze the energy transfer mechanism of transition metal ions. In addition, due to the difference in the temperature response of Cr3+ and Ni2+, the thermometry performance of this phosphor was studied. Importantly, a pioneering method for food components detection based on the convolutional neural network model was proposed, demonstrating a 100% detection success rate. This research not only propels the development of novel blue-light-excitable NIR-II phosphors but also contributes to the advancement of intelligent lighting technologies.

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来源期刊
Journal of Materials Chemistry C
Journal of Materials Chemistry C MATERIALS SCIENCE, MULTIDISCIPLINARY-PHYSICS, APPLIED
CiteScore
10.80
自引率
6.20%
发文量
1468
期刊介绍: The Journal of Materials Chemistry is divided into three distinct sections, A, B, and C, each catering to specific applications of the materials under study: Journal of Materials Chemistry A focuses primarily on materials intended for applications in energy and sustainability. Journal of Materials Chemistry B specializes in materials designed for applications in biology and medicine. Journal of Materials Chemistry C is dedicated to materials suitable for applications in optical, magnetic, and electronic devices. Example topic areas within the scope of Journal of Materials Chemistry C are listed below. This list is neither exhaustive nor exclusive. Bioelectronics Conductors Detectors Dielectrics Displays Ferroelectrics Lasers LEDs Lighting Liquid crystals Memory Metamaterials Multiferroics Photonics Photovoltaics Semiconductors Sensors Single molecule conductors Spintronics Superconductors Thermoelectrics Topological insulators Transistors
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