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基于表面增强拉曼散射的侧向流动免疫分析

Surface-Enhanced Raman Scattering-Based Lateral-Flow Immunoassay.

作者信息

Khlebtsov Boris, Khlebtsov Nikolai

机构信息

Institute of Biochemistry and Physiology of Plants and Microorganisms, Russian Academy of Sciences, 410049 Saratov, Russia.

Faculty of Nano- and Biomedical Technologies, Saratov State University, 410012 Saratov, Russia.

出版信息

Nanomaterials (Basel). 2020 Nov 10;10(11):2228. doi: 10.3390/nano10112228.

Abstract

Lateral flow immunoassays (LFIAs) have been developed and used in a wide range of applications, in point-of-care disease diagnoses, environmental safety, and food control. However, in its classical version, it has low sensitivity and can only perform semiquantitative detection, based on colorimetric signals. Over the past decade, surface-enhanced Raman scattering (SERS) tags have been developed in order to decrease the detection limit and enable the quantitative analysis of analytes. Of note, these tags needed new readout systems and signal processing algorithms, while the LFIA design remained unchanged. This review highlights SERS strategies of signal enhancement for LFIAs. The types of labels used, the possible gain in sensitivity from their use, methods of reading and processing the signal, and the prospects for use are discussed.

摘要

侧向流动免疫分析(LFIA)已得到开发并广泛应用于即时诊断疾病、环境安全和食品检测等众多领域。然而,传统的LFIA灵敏度较低,只能基于比色信号进行半定量检测。在过去十年中,为了降低检测限并实现对分析物的定量分析,人们开发了表面增强拉曼散射(SERS)标签。值得注意的是,这些标签需要新的读出系统和信号处理算法,而LFIA的设计保持不变。本综述重点介绍了用于LFIA的SERS信号增强策略。讨论了所使用的标记类型、使用它们可能获得的灵敏度提升、信号读取和处理方法以及应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78df/7696391/5a2baa05d655/nanomaterials-10-02228-g001.jpg

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