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, Fan 1; Tian, Jie1,2
刊名	ACS BIOMATERIALS SCIENCE & ENGINEERING
	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
DOI	10.1021/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.
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关键词	LIGHT ; NANOPARTICLES ; NANODOTS ; PLATFORM ; CELLS
WOS研究方向	Materials Science
语种	英语
出版者	AMER CHEMICAL SOC
WOS记录号	WOS:000453109000045
资助机构	Natural Science Foundation of China ; National Key R&D Program of China ; Fundamental Research Funds for the Central Universities
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25675]
专题	中国科学院自动化研究所
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.