Highly Sensitive and Selective Detection of Amoxicillin Using Carbon Quantum Dots Derived from Beet
Wang, Kunjie1; Ji, Qingjuan1; Xu, Jialin1; Li, Hongxia1; Zhang, Deyi1; Liu, Xiaoyu1; Wu, Yujuan1; Fan, Haiyan2
2018-05
发表期刊JOURNAL OF FLUORESCENCE
ISSN1053-0509
卷号28期号:3页码:759-765
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.
关键词Carbon quantumdots Detection Amoxicillin Fluorescent enhanced
DOI10.1007/s10895-018-2237-0
收录类别SCI ; SCIE
语种英语
资助项目Lanzhou University of Technology[Q201211]
WOS研究方向Biochemistry & Molecular Biology ; Chemistry
WOS类目Biochemical Research Methods ; Chemistry, Analytical ; Chemistry, Physical
WOS记录号WOS:000440111700005
出版者SPRINGER/PLENUM PUBLISHERS
EI入藏号20182105223409
EI主题词Carbon Quantum Dots
EI分类号461.9.1 Immunology - 714.2 Semiconductor Devices and Integrated Circuits - 741.1 Light/Optics - 761 Nanotechnology - 804 Chemical Products Generally
引用统计
被引频次:28[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/32671
专题石油化工学院
通讯作者Wang, Kunjie
作者单位1.Lanzhou Univ Technol, Coll Petrochem Technol, Lanzhou 730050, Gansu, Peoples R China;
2.Nazarbayev Univ, Chem Dept, Astana 010000, Kazakhstan
第一作者单位石油化工学院
通讯作者单位石油化工学院
第一作者的第一单位石油化工学院
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.
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