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表面增强拉曼光谱激光在生物材料检测中的应用综述以及对其在新冠病毒研究方面进展的简要介绍。

A review of applications of surface-enhanced raman spectroscopy laser for detection of biomaterials and a quick glance into its advances for COVID-19 investigations.

作者信息

Eskandari Vahid, Sahbafar Hossein, Zeinalizad Leila, Hadi Amin

机构信息

Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.

School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.

出版信息

ISSS J Micro Smart Syst. 2022;11(2):363-382. doi: 10.1007/s41683-022-00103-x. Epub 2022 May 5.

Abstract

Surface-enhanced Raman spectroscopy (SERS) is one of the most sensitive analytical tools. In some cases, it is possible to record a high-quality SERS spectrum in which even a single molecule is involved. Therefore, SERS is considered a significantly promising option as an alternative to routine analytical techniques used in food, environmental, biochemical, and medical analyzes. In this review, the definitive applications of SERS developed to identify biochemically important species (especially medical and biological) from the simplest to the most complex are briefly discussed. Moreover, the potential capability of SERS for being used as an alternative to routine methods in diagnostic and clinical cases is demonstrated. In addition, this article describes how SERS-based sensors work, addresses its advancements in the last 20 years, discusses its applications for detecting Coronavirus Disease 2019 (COVID-19), and finally describes future works. The authors hope that this article will be useful for researchers who want to enter this amazing field of research.

摘要

表面增强拉曼光谱(SERS)是最灵敏的分析工具之一。在某些情况下,有可能记录到高质量的SERS光谱,其中甚至涉及单个分子。因此,SERS被认为是一种极具前景的选择,可替代食品、环境、生物化学和医学分析中使用的常规分析技术。在这篇综述中,简要讨论了SERS在从最简单到最复杂的生物化学重要物种(尤其是医学和生物学物种)识别方面的权威应用。此外,还展示了SERS在诊断和临床病例中替代常规方法的潜在能力。此外,本文描述了基于SERS的传感器的工作原理,介绍了其在过去20年中的进展,讨论了其在检测2019冠状病毒病(COVID-19)方面的应用,最后描述了未来的工作。作者希望本文对想要进入这个神奇研究领域的研究人员有所帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b6/9070975/0d8b6d5b4ffb/41683_2022_103_Fig1_HTML.jpg

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