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Plasmon-Enhanced Surface-Enhanced Raman Scattering Mapping Concentrated on a Single Bead for Ultrasensitive and Multiplexed Immunoassay

机译:等离子体增强的表面增强拉曼散射映射浓缩在单个珠子上,用于超细和复用免疫测定

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摘要

A single microbead (MB)-concentrated surface-enhanced Raman scattering (SERS) mapping strategy is proposed for ultrasensitive and multiplexed immunoassay with high precision. In this design, the SERS tags are specifically immobilized on the surface of a plasmonic gold nanoparticle (GNP) layer-coated single MB via target protein-mediated immune coupling. By this means, even ultralow target dosage can bring highly concentrated SERS tags on the confined small zone around the single MB, and the target-induced SERS signals are largely enhanced by the plasmonic layer, endowing the proposed strategy with ultrahigh sensitivity to quantify subpicogram per milliliter levels of proteins. Moreover, the per-pixel averaged SERS intensity is adopted for target quantitation through mapping the SERS signals around the MB's surface, achieving greatly improved reproducibility compared with traditional single-point measurement. Benefiting from the intrinsic merits of SERS mapping, this elegant strategy also enables multiplexed immunoassay on a single MB.
机译:提出了一种单微珠(MB) - 营收的表面增强拉曼散射(SERS)测绘策略,用于高精度的超敏感和多路复用免疫测定。在这种设计中,通过靶蛋白介导的免疫偶联,SERS标签专门地固定在等离子体金纳米粒子(GNP)层涂覆的单MB的表面上。通过这种方式,即使是超级目标剂量也可以在单个MB周围的狭窄的小区域上带来高度浓缩的SERS标签,并且目标诱导的SERS信号由等离子体层大大提高,赋予了具有超高敏感性的提出的策略来量化每毫克水平的蛋白质。此外,通过映射MB表面周围的SERS信号,采用每个像素平均SERS强度,与传统单点测量相比,实现了大大提高的再现性。受益于SERS映射的内在优点,这种优雅的策略还使多重免疫测定在单个MB上。

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  • 来源
    《Analytical chemistry》 |2020年第18期|共7页
  • 作者单位

    Shaanxi Normal Univ Sch Chem &

    Chem Engn Xian 710119 Shaanxi Peoples R China;

    Shaanxi Normal Univ Sch Chem &

    Chem Engn Xian 710119 Shaanxi Peoples R China;

    Shaanxi Normal Univ Sch Chem &

    Chem Engn Xian 710119 Shaanxi Peoples R China;

    Shaanxi Normal Univ Sch Chem &

    Chem Engn Xian 710119 Shaanxi Peoples R China;

    Shaanxi Normal Univ Sch Chem &

    Chem Engn Xian 710119 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

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