A novel self-enhanced electrochemiluminescence immunosensor based on hollow Ru-SiO2@PEI nanoparticles for NSE analysis.
A novel self-enhanced electrochemiluminescence immunosensor based on hollow Ru-SiO2@PEI nanoparticles for NSE analysis.
复制标题
一种基于空心 Ru-SiO2@PEI 纳米粒子的新型自增强电化学发光免疫传感器，用于 NSE 分析
DOI：
10.1038/srep22234
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发表时间：
2016-02-26
影响因子：
4.6
通讯作者：
You T
中科院分区：
文献类型：
--
作者：
Zhou L;Huang J;Yu B;You T
将聚乙烯亚胺（PEI）和Ru（bpy）32+掺杂的SiO2纳米粒子（Ru-SiO2）简单混合，制备了一种新型的Ru-SiO2@PEI自增强电化学发光（ECL）复合物。利用空心Ru-SiO2@PEI纳米粒子构建了电化学发光免疫传感器，用于神经元特异性烯醇化酶（NSE）的检测。PEI不仅通过静电相互作用组装在Ru-SiO2纳米粒子表面，作为Ru（bpy）32+ECL的共反应物，而且提供碱性条件刻蚀Ru-SiO2纳米粒子，形成具有多孔壳层的空心Ru-SiO2@PEI纳米粒子。Ru-SiO2@PEI纳米粒子的独特结构使其同时负载了大量的Ru（bpy）32+及其共反应物PEI，缩短了电子转移距离，从而大大提高了发光效率，放大了ECL信号。该免疫传感器对NSE的线性范围为1.0 × 10− 11 ~ 1.0 × 10− 5 mg mL− 1，检测限为1.0 × 10− 11 mg mL− 1。将该免疫传感器用于临床人血清中NSE的测定，结果与酶联免疫吸附测定（ELISA）法相当。该方法为临床样品中NSE的分析提供了一种有前途的替代方法。
Poly(ethylenimine) (PEI) and Ru(bpy)32+-doped silica (Ru-SiO2) nanoparticles were simply mixed together to prepare a novel self-enhanced electrochemiluminescence (ECL) composite of Ru-SiO2@PEI. The hollow Ru-SiO2@PEI nanoparticles were used to build an ECL immunosensor for the analysis of neuron specific enolase (NSE). PEI not only assembled on the surface of Ru-SiO2nanoparticles through the electrostatic interaction to act as co-reactant for Ru(bpy)32+ECL, but also provided alkaline condition to etch the Ru-SiO2nanoparticles to form the hollow Ru-SiO2@PEI nanoparticles with porous shell. The unique structure of the Ru-SiO2@PEI nanoparticles loaded both a large amount of Ru(bpy)32+and its co-reactant PEI at the same time, which shortened the electron-transfer distance, thereby greatly enhanced the luminous efficiency and amplified the ECL signal. The developed immunosensor showed a wide linear range from 1.0 × 10−11to 1.0 × 10−5mg mL−1with a low detection limit of 1.0 × 10−11mg mL−1for NSE. When the immunosensor was used for the determination of NSE in clinical human serum, the results were comparable with those obtained by using enzyme-linked immunosorbent assay (ELISA) method. The proposed method provides a promising alternative for NSE analysis in clinical samples.