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基于聚多巴胺包覆金纳米粒子的侧向流免疫层析法用于玉米中玉米赤霉烯酮的灵敏检测。

Lateral Flow Immunoassay Based on Polydopamine-Coated Gold Nanoparticles for the Sensitive Detection of Zearalenone in Maize.

机构信息

State Key Laboratory of Food Science and Technology , Nanchang University , Nanchang 330047 , China.

School of Chemical and Biomedical Engineering , Nanyang Technological University , Singapore 637457.

出版信息

ACS Appl Mater Interfaces. 2019 Aug 28;11(34):31283-31290. doi: 10.1021/acsami.9b08789. Epub 2019 Aug 19.

Abstract

In this work, polydopamine-coated gold nanoparticles (Au@PDAs) were synthesized by the oxidative self-polymerization of dopamine (DA) on the surface of AuNPs and applied for the first time as a signal-amplification label in lateral flow immunoassays (LFIAs) for the sensitive detection of zearalenone (ZEN) in maize. The PDA layer functioned as a linker between AuNPs and anti-ZEN monoclonal antibody (mAb) to form a probe (Au@PDA-mAb). Compared with AuNPs, Au@PDA had excellent color intensity, colloidal stability, and mAb coupling efficiency. The limit of detection of the Au@PDA-based LFIA (Au@PDA-LFIA) was 7.4 pg/mL, which was 10-fold lower than that of the traditional AuNP-based LFIA (AuNP-LFIA) (76.1 pg/mL). The recoveries of Au@PDA-LFIA were 93.80-111.82%, with the coefficient of variation of 1.08-9.04%. In addition, the reliability of Au@PDA-LFIA was further confirmed by the high-performance liquid chromatography method. Overall, our study showed that PDA coating can chemically modify the surface of AuNPs through a simple method and can thus significantly improve the detection sensitivity of LFIA.

摘要

在这项工作中,通过多巴胺(DA)在 AuNPs 表面的氧化自聚合合成了聚多巴胺包覆的金纳米粒子(Au@PDAs),并首次将其作为信号放大标记物应用于侧向流动免疫分析(LFIAs)中,用于检测玉米中的玉米赤霉烯酮(ZEN)。PDA 层作为 AuNPs 和抗 ZEN 单克隆抗体(mAb)之间的连接物,形成探针(Au@PDA-mAb)。与 AuNPs 相比,Au@PDA 具有出色的颜色强度、胶体稳定性和 mAb 偶联效率。基于 Au@PDA 的 LFIA(Au@PDA-LFIA)的检测限为 7.4 pg/mL,比传统的基于 AuNP 的 LFIA(AuNP-LFIA)(76.1 pg/mL)低 10 倍。Au@PDA-LFIA 的回收率为 93.80-111.82%,变异系数为 1.08-9.04%。此外,高效液相色谱法进一步证实了 Au@PDA-LFIA 的可靠性。总体而言,我们的研究表明,PDA 涂层可以通过简单的方法化学修饰 AuNPs 的表面,从而显著提高 LFIA 的检测灵敏度。

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