Intelligent and ligand-based surface-enhanced Raman spectroscopy biosensors for the instant screening of viral respiratory infections

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology
Bo Cao , Peng Lin , Yanling Wang , Weiwei Yang , Longxiang Ren , Zhongqiao Ge , Hongjing Sui , Yuan Gao , Mengyuan Liu , Guangcheng Bei , Susan Zhou , Qin Zhou , Feiyun Cui
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引用次数: 0

Abstract

The global spread of viral respiratory infections continues to pose a substantial threat to human health, exacerbating the societal burden. Timely and precise detection of viruses is pivotal in mitigating pandemic transmission. Currently, the prevalent diagnostic techniques for viruses include real-time quantitative polymerase chain reaction (RT-qPCR), enzyme-linked immunosorbent assay (ELISA), and colloidal gold assays. However, intricate workflows and protracted processing times of RT-qPCR and ELISA preclude real-time diagnostics, despite their high accuracy. Colloidal gold assays offer rapid turnaround. However, their accuracy and sensitivity are limited, particularly in the context of emerging variants like SARS-CoV-2, which renders them suboptimal test tools. Mounting evidence suggests that surface-enhanced Raman spectroscopy (SERS), with its streamlined operation, rapid analysis, high specificity and sensitivity, holds significant potential as a superior alternative test tool. This review consolidates various SERS-based approaches for detecting respiratory infection virus (RIV) and delineates their characteristics. The unique strengths of SERS technology, including its exceptional sensitivity, robust specificity, and expedited turnaround times, earmark it as particularly well-suited for large-scale instant screening of viral infections within populations.

用于即时筛查病毒性呼吸道感染的基于配体的智能表面增强拉曼光谱生物传感器
病毒性呼吸道感染在全球的传播继续对人类健康构成重大威胁,加重了社会负担。及时、精确地检测病毒对于缓解大流行病的传播至关重要。目前,流行的病毒诊断技术包括实时定量聚合酶链反应(RT-qPCR)、酶联免疫吸附测定(ELISA)和胶体金测定。然而,尽管 RT-qPCR 和 ELISA 具有很高的准确性,但其复杂的工作流程和漫长的处理时间使其无法进行实时诊断。胶体金检测法周转迅速。然而,它们的准确性和灵敏度有限,特别是在 SARS-CoV-2 等新变种的情况下,这使它们成为不理想的检测工具。越来越多的证据表明,表面增强拉曼光谱(SERS)具有操作简便、分析迅速、特异性强和灵敏度高等特点,有望成为一种优秀的替代检测工具。本综述整合了各种基于 SERS 的呼吸道感染病毒(RIV)检测方法,并阐述了它们的特点。SERS 技术具有独特的优势,包括极高的灵敏度、强大的特异性和快速的周转时间,因此特别适合对人群中的病毒感染进行大规模即时筛查。
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来源期刊
Biosensors and Bioelectronics: X
Biosensors and Bioelectronics: X Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
166
审稿时长
54 days
期刊介绍: Biosensors and Bioelectronics: X, an open-access companion journal of Biosensors and Bioelectronics, boasts a 2020 Impact Factor of 10.61 (Journal Citation Reports, Clarivate Analytics 2021). Offering authors the opportunity to share their innovative work freely and globally, Biosensors and Bioelectronics: X aims to be a timely and permanent source of information. The journal publishes original research papers, review articles, communications, editorial highlights, perspectives, opinions, and commentaries at the intersection of technological advancements and high-impact applications. Manuscripts submitted to Biosensors and Bioelectronics: X are assessed based on originality and innovation in technology development or applications, aligning with the journal's goal to cater to a broad audience interested in this dynamic field.
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