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关于 2019 年冠状病毒病 (COVID-19) 的综述:当前进展、临床特征和生物分析诊断方法。

A review on corona virus disease 2019 (COVID-19): current progress, clinical features and bioanalytical diagnostic methods.

机构信息

Department of Chemistry, Yasouj University, Yasouj, 75918-74831, Iran.

出版信息

Mikrochim Acta. 2022 Feb 14;189(3):103. doi: 10.1007/s00604-022-05167-y.

Abstract

A new epidemic of acute respiratory viral pneumonia was discovered in central China at the end of 2019. The disease was given the name coronavirus disease 2019 (COVID-19), and the virus that caused this disease was known as severe acute respiratory syndrome coronavirus (SARS-CoV-2). So far, diagnostic methods have been focused on (a) human antibody detection, (b) viral antigen detection and (c) viral gene detection, the latter using RT-PCR being the most accurate approach. In this paper, we present a summary of the COVID-19 pandemic, clinical features and epidemiology and pathogenesis. Also, we focus on the recent advances in bioanalytical diagnostic methods based on various techniques for SARS-CoV-2 sensing that have recently been published (2020-2021). Furthermore, we present the mechanisms, advantages and disadvantages of the most common biosensors for COVID-19 detection, which include optical, electrochemical and piezoelectric biosensors as well as wearable and smart nanobiosensors, immunosensors, aptasensors and genosensors.

摘要

2019 年末,中国中部地区发现了一种新型急性呼吸道病毒性肺炎疫情。该疾病被命名为 2019 年冠状病毒病(COVID-19),导致该病的病毒被称为严重急性呼吸综合征冠状病毒(SARS-CoV-2)。到目前为止,诊断方法主要集中在 (a) 人体抗体检测、(b) 病毒抗原检测和 (c) 病毒基因检测,其中使用 RT-PCR 的方法最为准确。本文总结了 COVID-19 大流行、临床特征和流行病学及发病机制。此外,我们还重点介绍了基于各种 SARS-CoV-2 感测技术的最新生物分析诊断方法的最新进展(2020-2021 年)。此外,我们还介绍了用于 COVID-19 检测的最常见生物传感器的机制、优点和缺点,包括光学、电化学和压电生物传感器以及可穿戴和智能纳米生物传感器、免疫传感器、适体传感器和基因传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37ed/8852957/e6521c9185b5/604_2022_5167_Sch1_HTML.jpg

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