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用于检测 COVID-19 和其他病毒的生物传感器的最新进展。

Recent Advances in Biosensors for Detection of COVID-19 and Other Viruses.

出版信息

IEEE Rev Biomed Eng. 2023;16:22-37. doi: 10.1109/RBME.2022.3212038. Epub 2023 Jan 5.

Abstract

This century has introduced very deadly, dangerous, and infectious diseases to humankind such as the influenza virus, Ebola virus, Zika virus, and the most infectious SARS-CoV-2 commonly known as COVID-19 and have caused epidemics and pandemics across the globe. For some of these diseases, proper medications, and vaccinations are missing and the early detection of these viruses will be critical to saving the patients. And even the vaccines are available for COVID-19, the new variants of COVID-19 such as Delta, and Omicron are spreading at large. The available virus detection techniques take a long time, are costly, and complex and some of them generates false negative or false positive that might cost patients their lives. The biosensor technique is one of the best qualified to address this difficult challenge. In this systematic review, we have summarized recent advancements in biosensor-based detection of these pandemic viruses including COVID-19. Biosensors are emerging as efficient and economical analytical diagnostic instruments for early-stage illness detection. They are highly suitable for applications related to healthcare, wearable electronics, safety, environment, military, and agriculture. We strongly believe that these insights will aid in the study and development of a new generation of adaptable virus biosensors for fellow researchers.

摘要

本世纪给人类带来了非常致命、危险和传染性的疾病,如流感病毒、埃博拉病毒、寨卡病毒以及最具传染性的 SARS-CoV-2,通常称为 COVID-19,并在全球范围内引发了疫情和大流行。对于其中一些疾病,缺乏适当的药物和疫苗,早期发现这些病毒对于拯救患者至关重要。即使有 COVID-19 疫苗可用,COVID-19 的新变体,如德尔塔和奥密克戎,也在广泛传播。现有的病毒检测技术需要很长时间,成本高且复杂,其中一些会产生假阴性或假阳性,这可能会使患者失去生命。生物传感器技术是最有资格应对这一难题的技术之一。在本系统评价中,我们总结了基于生物传感器的这些大流行病毒(包括 COVID-19)检测的最新进展。生物传感器作为用于早期疾病检测的高效和经济的分析诊断仪器正在兴起。它们非常适合与医疗保健、可穿戴电子产品、安全、环境、军事和农业相关的应用。我们坚信,这些见解将有助于为研究人员开发新一代适应性强的病毒生物传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/730d/10009816/00b15b1e0b88/ahmed1-3212038.jpg

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