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首页> 外文期刊>The Science of the Total Environment >Fluorescent enzyme-linked immunoassay based on silane-doped carbon dots for sensitive detection of microcystin-LR in water and crucian samples
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Fluorescent enzyme-linked immunoassay based on silane-doped carbon dots for sensitive detection of microcystin-LR in water and crucian samples

机译:基于硅烷掺杂碳点的荧光酶联免疫分析法用于水和water样品中微囊藻毒素-LR的灵敏检测

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摘要

In this work, a fluorescent nanoparticles labeling-free fluorescence enzyme-linked immunoassay (FELISA) has been established for the ultrasensitive detection of microcystin-LR (MC-LR) in water and fish samples. Polyclonal antibody against MC-LR was labeled with horseradish peroxidase (HRP) and used as signal probe for binding with analyte in sample or for coating antigen. After washing of the unbound antibody, the substrate system (2,2'-azinobis(3-ethylbenzothiazoline-6-sulfonate) (ABTS)/H_2O_2) was added. The oxidation product of ABTS (ox-ABTS) catalyzed by HRP effectively caused the fluorescence quenching of subsequently added silane-doped carbon dots (Si-CDs), and the change in fluorescence intensity of Si-CDs was used to realize the quantitative detection of MC-LR. Under the optimum conditions, the Si-CDs based FELISA method showed a good linear relationship from 0.001 to 3.20 μg L~(-1) (R~2 = 0.994) and provided a low detection limit of 0.6 ng L~(-1), which was approximately 30-fold lower than that of traditional indirect competitive ELISA. Average recovery values from 79.9% to 109.2% was obtained from spiked water and crucian samples, suggesting its potential application on the monitoring of MR-LR at a trace level.
机译:在这项工作中,已经建立了无荧光纳米颗粒标记的荧光酶联免疫测定法(FELISA),用于水和鱼样品中微囊藻毒素-LR(MC-LR)的超灵敏检测。用辣根过氧化物酶(HRP)标记抗MC-LR的多克隆抗体,并用作与样品中的分析物结合或包被抗原的信号探针。洗涤未结合的抗体后,加入底物系统(2,2'-叠氮基双(3-乙基苯并噻唑啉-6-磺酸盐)(ABTS)/ H_2O_2)。 HRP催化的ABTS氧化产物(ox-ABTS)有效地引起了随后添加的硅烷掺杂碳点(Si-CDs)的荧光猝灭,并利用Si-CDs荧光强度的变化实现了定量检测。 MC-LR。在最佳条件下,基于Si-CDs的FELISA方法在0.001至3.20μgL〜(-1)之间具有良好的线性关系(R〜2 = 0.994),检出限低至0.6 ng L〜(-1) ,比传统的间接竞争ELISA低约30倍。从加标水和cru样品中获得的平均回收率为79.9%至109.2%,表明其在痕量监测MR-LR方面的潜在应用。

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