Highly Sensitive and Selective Detection of Amoxicillin Using Carbon Quantum Dots Derived from Beet

doi:10.1007/s10895-018-2237-0

CORC > 兰州理工大学 > 兰州理工大学 > 石油化工学院

	Highly Sensitive and Selective Detection of Amoxicillin Using Carbon Quantum Dots Derived from Beet
	Wang, Kunjie 2; Ji, Qingjuan 2; Xu, Jialin 2; Li, Hongxia 2; Zhang, Deyi 2; Liu, Xiaoyu 2; Wu, Yujuan 2; Fan, Haiyan 1
刊名	JOURNAL OF FLUORESCENCE
	2018-05
卷号	28 期号:3 页码:759-765
关键词	Carbon quantumdots Detection Amoxicillin Fluorescent enhanced
ISSN号	1053-0509
DOI	10.1007/s10895-018-2237-0
英文摘要	In the present work, we synthesized the carbon quantum dots (CQDs) by one step hydrothermal method using the dried beet powder as the carbon source without additional chemical reagents and functionalization. The as-prepared CQDs are quasi-spherical carbon nanoparticles with diameters of 4-8 nm as well as surface functional groups such as carboxyl and hydroxyl groups, and exhibit good water-solubility, biocompatibility, and strong fluorescence. It is confirmed that amoxicillin (AMO) could enhance the fluorescent intensity of CQDs, the I/I-0 showed a linear correlation between the intensity of fluorescence and the concentration of AMO in a broad range. These superior properties render a potential application of the CQDs in biomedical.
资助项目	Lanzhou University of Technology[Q201211]
WOS研究方向	Biochemistry & Molecular Biology ; Chemistry
语种	英语
出版者	SPRINGER/PLENUM PUBLISHERS
WOS记录号	WOS:000440111700005
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/32671]
专题	石油化工学院
通讯作者	Wang, Kunjie
作者单位	1.Nazarbayev Univ, Chem Dept, Astana 010000, Kazakhstan 2.Lanzhou Univ Technol, Coll Petrochem Technol, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Kunjie,Ji, Qingjuan,Xu, Jialin,et al. Highly Sensitive and Selective Detection of Amoxicillin Using Carbon Quantum Dots Derived from Beet[J]. JOURNAL OF FLUORESCENCE,2018,28(3):759-765.
APA	Wang, Kunjie.,Ji, Qingjuan.,Xu, Jialin.,Li, Hongxia.,Zhang, Deyi.,...&Fan, Haiyan.(2018).Highly Sensitive and Selective Detection of Amoxicillin Using Carbon Quantum Dots Derived from Beet.JOURNAL OF FLUORESCENCE,28(3),759-765.
MLA	Wang, Kunjie,et al."Highly Sensitive and Selective Detection of Amoxicillin Using Carbon Quantum Dots Derived from Beet".JOURNAL OF FLUORESCENCE 28.3(2018):759-765.