Zaidong Chen, Yuefei Xiang, Xinghui Qin, Lei Zhong, Hong Liao, Shiwen Liu, Jiaqi Wang, Kezhi Zheng, Dejian Hou, Lei Zhou and Mingmei Wu
{"title":"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","authors":"Zaidong Chen, Yuefei Xiang, Xinghui Qin, Lei Zhong, Hong Liao, Shiwen Liu, Jiaqi Wang, Kezhi Zheng, Dejian Hou, Lei Zhou and Mingmei Wu","doi":"10.1039/D5TC00476D","DOIUrl":null,"url":null,"abstract":"<p >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 Cr<small><sup>3+</sup></small> into Lu<small><sub>2</sub></small>CaMg<small><sub>2</sub></small>Si<small><sub>3</sub></small>O<small><sub>12</sub></small>:Ni<small><sup>2+</sup></small>, thereby enhancing their luminescence properties, including quantum efficiency and thermal stability. Given the superior energy transfer efficiency of Cr<small><sup>3+</sup></small> → Ni<small><sup>2+</sup></small>, the quantum efficiency of Lu<small><sub>2</sub></small>CaMg<small><sub>2</sub></small>Si<small><sub>3</sub></small>O<small><sub>12</sub></small>:Cr<small><sup>3+</sup></small>,Ni<small><sup>2+</sup></small> was increased from 23.0% to 32.6%, and the thermal stability improved by 18%, as compared to Lu<small><sub>2</sub></small>CaMg<small><sub>2</sub></small>Si<small><sub>3</sub></small>O<small><sub>12</sub></small>:Ni<small><sup>2+</sup></small>. 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 Cr<small><sup>3+</sup></small> and Ni<small><sup>2+</sup></small>, 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.</p>","PeriodicalId":84,"journal":{"name":"Journal of Materials Chemistry C","volume":" 18","pages":" 9382-9391"},"PeriodicalIF":5.1000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revealing energy transfer mechanisms and accelerating intelligent detection: Cr3+ and Ni2+ co-doped Lu2CaMg2Si3O12 phosphors for NIR applications†\",\"authors\":\"Zaidong Chen, Yuefei Xiang, Xinghui Qin, Lei Zhong, Hong Liao, Shiwen Liu, Jiaqi Wang, Kezhi Zheng, Dejian Hou, Lei Zhou and Mingmei Wu\",\"doi\":\"10.1039/D5TC00476D\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >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 Cr<small><sup>3+</sup></small> into Lu<small><sub>2</sub></small>CaMg<small><sub>2</sub></small>Si<small><sub>3</sub></small>O<small><sub>12</sub></small>:Ni<small><sup>2+</sup></small>, thereby enhancing their luminescence properties, including quantum efficiency and thermal stability. Given the superior energy transfer efficiency of Cr<small><sup>3+</sup></small> → Ni<small><sup>2+</sup></small>, the quantum efficiency of Lu<small><sub>2</sub></small>CaMg<small><sub>2</sub></small>Si<small><sub>3</sub></small>O<small><sub>12</sub></small>:Cr<small><sup>3+</sup></small>,Ni<small><sup>2+</sup></small> was increased from 23.0% to 32.6%, and the thermal stability improved by 18%, as compared to Lu<small><sub>2</sub></small>CaMg<small><sub>2</sub></small>Si<small><sub>3</sub></small>O<small><sub>12</sub></small>:Ni<small><sup>2+</sup></small>. 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 Cr<small><sup>3+</sup></small> and Ni<small><sup>2+</sup></small>, 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.</p>\",\"PeriodicalId\":84,\"journal\":{\"name\":\"Journal of Materials Chemistry C\",\"volume\":\" 18\",\"pages\":\" 9382-9391\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2025-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Materials Chemistry C\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2025/tc/d5tc00476d\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Chemistry C","FirstCategoryId":"1","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/tc/d5tc00476d","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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