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

doi:10.1021/acsbiomaterials.8b00513

	Optimization of Red Luminescent Intensity in Eu3+-Doped Lanthanide Phosphors Using Genetic Algorithm
	Lv, Ruichan 1; Xiao, Liyang 1; Jiang, Xue 1; Feng, Miao 1; Yang, Fan1 ; Tian, Jie 1,2
发表期刊	ACS BIOMATERIALS SCIENCE & ENGINEERING
ISSN	2373-9878
	2018-12-01
卷号	4 期号:12 页码:4378-4384
通讯作者	Lv, Ruichan(rclv@xidian.edu.cn) ; Tian, Jie(jie.tian@ia.ac.cn)
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.
关键词	Eu3+-doped phosphors optimization algorithm genetic algorithm bioimaging fingerprint detection
DOI	10.1021/acsbiomaterials.8b00513
关键词[WOS]	LIGHT ; NANOPARTICLES ; NANODOTS ; PLATFORM ; CELLS
收录类别	SCI
语种	英语
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] ; 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]
项目资助者	Natural Science Foundation of China ; National Key R&D Program of China ; Fundamental Research Funds for the Central Universities
WOS研究方向	Materials Science
WOS类目	Materials Science, Biomaterials
WOS记录号	WOS:000453109000045
出版者	AMER CHEMICAL SOC
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/25676
专题	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
通讯作者单位	中国科学院自动化研究所
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.