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被动感应公共交通车辆中的 SARS-CoV-2 RNA。

Passively sensing SARS-CoV-2 RNA in public transit buses.

机构信息

Paul G. Allen School of Computer Science and Engineering, University of Washington, 185 E. Stevens Way NE, Seattle 98195, WA, USA.

Department of Electrical and Computer Engineering, University of Washington, 185 Stevens Way, Seattle 98195, WA, USA.

出版信息

Sci Total Environ. 2022 May 15;821:152790. doi: 10.1016/j.scitotenv.2021.152790. Epub 2022 Jan 8.

Abstract

Affordably tracking the transmission of respiratory infectious diseases in urban transport infrastructures can inform individuals about potential exposure to diseases and guide public policymakers to prepare timely responses based on geographical transmission in different areas in the city. Towards that end, we designed and tested a method to detect SARS-CoV-2 RNA in the air filters of public buses, revealing that air filters could be used as passive fabric sensors for the detection of viral presence. We placed and retrieved filters in the existing HVAC systems of public buses to test for the presence of trapped SARS-CoV-2 RNA using phenol-chloroform extraction and RT-qPCR. SARS-CoV-2 RNA was detected in 14% (5/37) of public bus filters tested in Seattle, Washington, from August 2020 to March 2021. These results indicate that this sensing system is feasible and that, if scaled, this method could provide a unique lens into the geographically relevant transmission of SARS-CoV-2 through public transit rider vectors, pooling samples of riders over time in a passive manner without installing any additional systems on transit vehicles.

摘要

在城市交通基础设施中,以可负担的成本跟踪呼吸道传染病的传播,可以使个人了解潜在的疾病暴露风险,并指导公共政策制定者根据城市不同地区的地理传播情况及时做出反应。为此,我们设计并测试了一种在公共汽车空气过滤器中检测 SARS-CoV-2 RNA 的方法,结果表明空气过滤器可以用作被动织物传感器,用于检测病毒的存在。我们将过滤器放置并回收在公共汽车现有的空调系统中,使用苯酚-氯仿提取和 RT-qPCR 检测捕获的 SARS-CoV-2 RNA。我们在 2020 年 8 月至 2021 年 3 月期间从华盛顿州西雅图市的 37 个公共汽车过滤器中检测到 14%(5/37)的 SARS-CoV-2 RNA。这些结果表明,这种传感系统是可行的,如果大规模应用,该方法可以通过公共交通乘客载体提供 SARS-CoV-2 地理相关传播的独特视角,随着时间的推移,以被动的方式对乘客进行样本采集,而无需在运输车辆上安装任何额外的系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d24/8741327/366bc29a5c60/ga1_lrg.jpg

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