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Optimization of Red Luminescent Intensity in Eu3+-Doped Lanthanide Phosphors Using Genetic Algorithm

文献类型：期刊论文

作者Lv, Ruichan1; Xiao, Liyang1; Jiang, Xue1; Feng, Miao1; Yang, Fan1; Tian, Jie1,2
刊名ACS BIOMATERIALS SCIENCE & ENGINEERING
出版日期2018-12-01
卷号4期号:12页码:4378-4384
关键词Eu3+-doped phosphors optimization algorithm genetic algorithm bioimaging fingerprint detection
ISSN号2373-9878
DOI10.1021/acsbiomaterials.8b00513
通讯作者Lv, Ruichan(rclv@xidian.edu.cn) ; Tian, Jie(jie.tian@ia.ac.cn)
英文摘要In this research, four steps including synthesis experiment, brightness evaluation, optimized calculation using brightness as fitness reference, and new calculated composition for the next preparation have been proceeded to find the brightest Eu3+ doped phosphors combined with chemical experiments and genetic algorithm (GA) calculation. The evolutionary operations, such as elitism, selection, crossover, and mutation, are applied to the compound combination. Feasible optimized combination would be obtained until the phosphor is found to be satisfactory. Through GA calculation and thd experimental process, the final luminescence enhancement factor of the optimal phosphor is up to 141% compared with the best one in the first generation. Thus, the GA calculation could be well applied to combinatorial chemistry to find the better phosphor. Additionally, the optimized phosphor is potentially applied as the fingerprint detection nanoparticle and dual-modal imaging agent of the CT/luminescent agent with high penetration and resolution.
WOS关键词LIGHT ; NANOPARTICLES ; NANODOTS ; PLATFORM ; CELLS
资助项目Natural Science Foundation of China[NSFC 81227901] ; Natural Science Foundation of China[81801744] ; National Key R&D Program of China[2017YFA0205200] ; Fundamental Research Funds for the Central Universities[XJS17011] ; Fundamental Research Funds for the Central Universities[JBX181202]
WOS研究方向Materials Science
语种英语
WOS记录号WOS:000453109000045
出版者AMER CHEMICAL SOC
资助机构Natural Science Foundation of China ; National Key R&D Program of China ; Fundamental Research Funds for the Central Universities
源URL[http://ir.ia.ac.cn/handle/173211/25675]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Lv, Ruichan; Tian, Jie
作者单位1.Xidian Univ, Sch Life Sci & Technol, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian 710071, Shaanxi, Peoples R China
2.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Lv, Ruichan,Xiao, Liyang,Jiang, Xue,et al. Optimization of Red Luminescent Intensity in Eu3+-Doped Lanthanide Phosphors Using Genetic Algorithm[J]. ACS BIOMATERIALS SCIENCE & ENGINEERING,2018,4(12):4378-4384.
APA Lv, Ruichan,Xiao, Liyang,Jiang, Xue,Feng, Miao,Yang, Fan,&Tian, Jie.(2018).Optimization of Red Luminescent Intensity in Eu3+-Doped Lanthanide Phosphors Using Genetic Algorithm.ACS BIOMATERIALS SCIENCE & ENGINEERING,4(12),4378-4384.
MLA Lv, Ruichan,et al."Optimization of Red Luminescent Intensity in Eu3+-Doped Lanthanide Phosphors Using Genetic Algorithm".ACS BIOMATERIALS SCIENCE & ENGINEERING 4.12(2018):4378-4384.

入库方式： OAI收割

来源：自动化研究所

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