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基于 SERS 的免疫分析平台:探针、编码方法及应用。

SERS-Activated Platforms for Immunoassay: Probes, Encoding Methods, and Applications.

机构信息

Advanced Photonics Center, Southeast University , Nanjing 210096, Jiangsu, China.

出版信息

Chem Rev. 2017 Jun 28;117(12):7910-7963. doi: 10.1021/acs.chemrev.7b00027. Epub 2017 May 23.

DOI:10.1021/acs.chemrev.7b00027
PMID:28534612
Abstract

Owing to their excellent multiplexing ability, high sensitivity, and large dynamic range, immunoassays using surface-enhanced Raman scattering (SERS) as the readout signal have found prosperous applications in fields such as disease diagnosis, environmental surveillance, and food safety supervision. Various ever-increasing demands have promoted SERS-based immunoassays from the classical sandwich-type ones to those integrated with fascinating automatic platforms (e.g., test strips and microfluidic chips). As recent years have witnessed impressive progress in SERS immunoassays, we try to comprehensively cover SERS-based immunoassays from their basic working principles to specific applications. Focusing on several basic elements in SERS immunoassays, typical structures of SERS nanoprobes, productive optical spectral encoding strategies, and popular immunoassay platforms are highlighted, followed by their representative biological applications in the last 5 years. Moreover, despite the vast advances achieved to date, SERS immunoassays still suffer from some annoying shortcomings. Thus, proposals on how to improve the SERS immunoassay performance are also discussed, as well as future challenges and perspectives, aiming to give brief and valid guidelines for choosing suitable platforms according to particular applications.

摘要

由于表面增强拉曼散射(SERS)作为读出信号的免疫分析具有出色的多重检测能力、高灵敏度和大动态范围,因此在疾病诊断、环境监测和食品安全监管等领域得到了广泛的应用。各种不断增长的需求促使基于 SERS 的免疫分析从经典的三明治型发展到与迷人的自动平台(例如,测试条和微流控芯片)集成的免疫分析。近年来,SERS 免疫分析取得了令人瞩目的进展,我们试图从基本工作原理到具体应用全面涵盖基于 SERS 的免疫分析。本文重点介绍了 SERS 免疫分析中的几个基本要素、SERS 纳米探针的典型结构、高效的光学光谱编码策略以及流行的免疫分析平台,并在最后 5 年中介绍了它们在代表性生物应用方面的进展。此外,尽管迄今为止已经取得了巨大的进展,但 SERS 免疫分析仍然存在一些令人烦恼的缺点。因此,还讨论了如何提高 SERS 免疫分析性能的建议,以及未来的挑战和展望,旨在根据特定应用为选择合适的平台提供简洁有效的指导。

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