Fluorometric microplate-based dimethoate assay using CdSe/ZnS quantum dots coated with a molecularly imprinted polymer
Fluorometric microplate-based dimethoate assay using CdSe/ZnS quantum dots coated with a molecularly imprinted polymer
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使用涂有分子印迹聚合物的 CdSe/ZnS 量子点进行基于荧光微孔板的乐果测定
DOI:
10.1007/s00604-019-3649-5
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发表时间:
2019-07
影响因子:
5.7
通讯作者:
Sun Xiaotao
中科院分区:
文献类型:
--
作者:
Yang Yukun;Chang Yuanyuan;Guo Yuanyuan;Yu Ligang;Zhang Guohua;Zhai Doudou;Wang Xiaomin;Sun Xiaotao
A microplate-based assay is described for the sensitive and selective fluorometric determination of the pesticide dimethoate. Molecularly imprinted polymer (MIP)-coated CdSe/ZnS quantum dots (QDs) are used as the molecular recognition probe. The MIP-coated QDs were synthesized using one-step reversed-phase microemulsion in the presence of hydrophobic CdSe/ZnS QDs. Copolymerization was performed by using 3-aminopropyltriethoxysilane as the functional monomer, tetraethoxysilane as the cross-linker, and dimethoate as the template. The fluorescence of the coated QDs is quenched by dimethoate when dimethoate becomes rebound on the imprinting sites of the MIP. Under the optimal conditions, fluorescence (best measured at excitation/emisison wavelengths of 380/620 nm) drops linearly in the 5.0–150 μg L−1dimethoate concentration range, and the limit of detection is 2.1 μg L−1(at S/N= 3). The assay was utilized for dimethoate determination in spiked real samples. Satisfactory recoveries (89.8%–98.0%) with relatively standard deviations of <4.9% are obtained. The method is rapid, cost-effective, sensitive, and selective. The use of microplate allows for the quantitation of a large number of samples simultaneously.Graphical abstractSchematic representation of sensitive and selective fluorometric microplate-based assay for the high-throughput determination of dimethoate (DM) based on recognition of molecularly imprinted polymer (MIP)-coated CdSe/ZnS quantum dots (QDs). DM exerts a quenching effect on the fluorescence of the QDs.
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影响因子:
5.7
作者:
Sun, Xiao-Yu;Ma, Run-Tian;Shi, Yan-Ping
通讯作者:
Shi, Yan-Ping
影响因子:
8.4
作者:
Shuhuai Li;Jinhui Luo;Guihao Yin;Zhi Xu;Le Yuan;Xiaofang Wu;Nancun Wu;Qun Zhang
通讯作者:
Shuhuai Li;Jinhui Luo;Guihao Yin;Zhi Xu;Le Yuan;Xiaofang Wu;Nancun Wu;Qun Zhang
影响因子:
6.6
作者:
Yukun Yang;Guo-zhen Fang;Xiaomin Wang;Fuyuan Zhang;Jingmin Liu;Wen-jie Zheng;Shuo Wang
通讯作者:
Yukun Yang;Guo-zhen Fang;Xiaomin Wang;Fuyuan Zhang;Jingmin Liu;Wen-jie Zheng;Shuo Wang
影响因子:
2.9
作者:
Amjadi, Mohammad;Jalili, Roghayeh;Manzoori, Jamshid L.
通讯作者:
Manzoori, Jamshid L.
影响因子:
5.7
作者:
Chen, Jian-Lian
通讯作者:
Chen, Jian-Lian