Literature DB >> 30327103

Cu-Mn codoped ZnS quantum dots-based ratiometric fluorescent sensor for folic acid.

Yongbo Wang1, Min Yang2, Yingkun Ren2, Jun Fan2.   

Abstract

In the design of new fluorescent sensors, exploration of new materials with excellent properties and smart designs is of continuing interest. Herein, we designed a dual-emission ratiometric fluorescent sensor by doping ZnS quantum dots (QDs) with Cu2+ and Mn2+ ions. The codoped ZnS QDs with two separated dopant emissions were used as ratiometric fluorescent sensors for folic acid (FA). With addition of FA, the Cu dopant emission was quenched while the Mn dopant emission was enhanced. The fluorescence intensity ratios versus the FA concentrations could be fitted to a linear regression equation ranging from 0.01 to 5 μM (R2 = 0.995) and the detection limit was calculated to be 6 nM. Thus, this method generated ratiometric fluorescence signals for quantitative detection of FA. To understand the specific fluorescence response of the sensors for FA, the sensing mechanism was proposed based on electron transfer between QDs and FA. Additionally, the sensors were successfully applied to the determination of FA in spiked samples and recoveries were ranged from 95.5 to 102.2%. Therefore, the sensors show high sensitivity and selectivity for FA and the proposed method has good potential for extension to the detection of other biological molecules after further development.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Codoped quantum dots; Folic acid; Quantitative detection; Ratiometric fluorescent sensors

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Year:  2018        PMID: 30327103     DOI: 10.1016/j.aca.2018.08.010

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  3 in total

1.  Selective Detection of Alkaline Phosphatase Activity in Environmental Water Samples by Copper Nanoclusters Doped Lanthanide Coordination Polymer Nanocomposites as the Ratiometric Fluorescent Probe.

Authors:  Xin Li; Xiaoling Wang; Wei Guo; Yunfei Wang; Qing Hua; Feiyan Tang; Feng Luan; Chunyuan Tian; Xuming Zhuang; Lijun Zhao
Journal:  Biosensors (Basel)       Date:  2022-05-28

2.  Determination of folic acid via its quenching effect on the fluorescence of MoS2 quantum dots.

Authors:  Yage Peng; Wenfei Dong; Le Wan; Xiaosai Quan
Journal:  Mikrochim Acta       Date:  2019-08-05       Impact factor: 5.833

3.  Quantitative Detection of Gastrointestinal Tumor Markers Using a Machine Learning Algorithm and Multicolor Quantum Dot Biosensor.

Authors:  Gaowa Saren; Linlin Zhu; Yue Han
Journal:  Comput Intell Neurosci       Date:  2022-09-01
  3 in total

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