Facultad de Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.
Facultad de Ciencias Biológicas, Benemérita Universidad Autónoma de Puebla, 72570 Puebla, Mexico.
Biosensors (Basel). 2021 Feb 28;11(3):66. doi: 10.3390/bios11030066.
The diagnosis of respiratory viruses of zoonotic origin (RVsZO) such as influenza and coronaviruses in humans is crucial, because their spread and pandemic threat are the highest. Surface-enhanced Raman spectroscopy (SERS) is an analytical technique with promising impact for the point-of-care diagnosis of viruses. It has been applied to a variety of influenza A virus subtypes, such as the H1N1 and the novel coronavirus SARS-CoV-2. In this work, a review of the strategies used for the detection of RVsZO by SERS is presented. In addition, relevant information about the SERS technique, anthropozoonosis, and RVsZO is provided for a better understanding of the theme. The direct identification is based on trapping the viruses within the interstices of plasmonic nanoparticles and recording the SERS signal from gene fragments or membrane proteins. Quantitative mono- and multiplexed assays have been achieved following an indirect format through a SERS-based sandwich immunoassay. Based on this review, the development of multiplex assays that incorporate the detection of RVsZO together with their specific biomarkers and/or secondary disease biomarkers resulting from the infection progress would be desirable. These configurations could be used as a double confirmation or to evaluate the health condition of the patient.
诊断人畜共患呼吸道病毒(RVsZO),如流感病毒和冠状病毒,对人类至关重要,因为它们的传播和大流行威胁是最高的。表面增强拉曼光谱(SERS)是一种具有前景的分析技术,可用于即时诊断病毒。它已应用于多种流感 A 病毒亚型,如 H1N1 和新型冠状病毒 SARS-CoV-2。在这项工作中,对 SERS 检测 RVsZO 所采用的策略进行了综述。此外,还提供了有关 SERS 技术、人畜共患病和 RVsZO 的相关信息,以帮助更好地理解主题。直接识别是基于将病毒捕获在等离子体纳米粒子的间隙内,并记录基因片段或膜蛋白的 SERS 信号。通过基于 SERS 的三明治免疫测定的间接方法实现了定量单和多重分析。基于这项综述,开发多重分析将是可取的,这些分析将 RVsZO 的检测与它们的特异性生物标志物和/或感染进展引起的继发性疾病生物标志物结合起来。这些配置可用于双重确认或评估患者的健康状况。
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