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利用自动化化学发光酶免疫分析检测污水中的 SARS-CoV-2 抗原。

The Detection of SARS-CoV2 Antigen in Wastewater Using an Automated Chemiluminescence Enzyme Immunoassay.

机构信息

Research Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand.

Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand.

出版信息

Int J Environ Res Public Health. 2022 Jun 24;19(13):7783. doi: 10.3390/ijerph19137783.

Abstract

The SARS-CoV-2 virus, which is driving the current COVID-19 epidemic, has been detected in wastewater and is being utilized as a surveillance tool to establish an early warning system to aid in the management and prevention of future pandemics. qPCR is the method usually used to detect SARS-CoV-2 in wastewater. There has been no study using an immunoassay that is less laboratory-intensive than qPCR with a shorter turnaround time. Therefore, we aimed to evaluate the performance of an automated chemiluminescence enzyme immunoassay (CLEIA) for SARS-CoV-2 antigen in wastewater. The CLEIA assay achieved 100% sensitivity and 66.7% specificity in a field-captured wastewater sample compared to the gold standard RT-qPCR. Our early findings suggest that the SARS-CoV-2 antigen can be identified in wastewater samples using an automated CLEIA, reducing the turnaround time and improving the performance of SARS-CoV-2 wastewater monitoring during the pandemic.

摘要

正在引发当前 COVID-19 疫情的 SARS-CoV-2 病毒已在废水中被检出,并被用作监测工具,以建立早期预警系统,帮助管理和预防未来的大流行。qPCR 通常用于检测废水中的 SARS-CoV-2。目前还没有研究使用比 qPCR 实验室工作量更小、周转时间更短的免疫测定法。因此,我们旨在评估用于废水检测的 SARS-CoV-2 抗原自动化化学发光酶免疫测定法 (CLEIA) 的性能。与金标准 RT-qPCR 相比,该 CLEIA 检测法在野外采集的废水样本中实现了 100%的灵敏度和 66.7%的特异性。我们的初步发现表明,使用自动化 CLEIA 可以在废水样本中识别 SARS-CoV-2 抗原,从而缩短周转时间,并提高大流行期间 SARS-CoV-2 废水监测的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ff6/9265940/7d93b7580a95/ijerph-19-07783-g001.jpg

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