On-Site Quantification and Infection Risk Assessment of Airborne SARS-CoV-2 Virus Via a Nanoplasmonic Bioaerosol Sensing System in Healthcare Settings

被引:12
|
作者
Qiu, Guangyu [1 ,2 ,3 ]
Spillmann, Martin [1 ]
Tang, Jiukai [1 ,2 ]
Zhao, Yi-Bo [1 ,2 ]
Tao, Yile [1 ]
Zhang, Xiaole [1 ]
Geschwindner, Heike [4 ]
Saleh, Lanja [5 ]
Zingg, Walter [6 ]
Wang, Jing [1 ,2 ]
机构
[1] Swiss Fed Inst Technol, Inst Environm Engn, CH-8093 Zurich, Switzerland
[2] Swiss Fed Labs Mat Sci & Technol, Lab Adv Analyt Technol, Empa, CH-8600 Dubendorf, Switzerland
[3] Shanghai Jiao Tong Univ, Inst Med Robot, Shanghai, Peoples R China
[4] Senior Hlth Ctr City Zurich, Nursing Res & Sci, Zurich, Switzerland
[5] Univ Zurich, Univ Hosp Zurich, Inst Clin Chem, CH-8091 Zurich, Switzerland
[6] Univ Hosp Zurich, Clin Infect Dis & Hosp Hyg, CH-8091 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
airborne transmission; bioaerosols; biosensors; coronavirus; COVID-19; plasmonics; risk assessment;
D O I
10.1002/advs.202204774
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
On-site quantification and early-stage infection risk assessment of airborne severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with high spatiotemporal resolution is a promising approach for mitigating the spread of coronavirus disease 2019 (COVID-19) pandemic and informing life-saving decisions. Here, a condensation (hygroscopic growth)-assisted bioaerosol collection and plasmonic photothermal sensing (CAPS) system for on-site quantitative risk analysis of SARS-CoV-2 virus-laden aerosols is presented. The CAPS system provided rapid thermoplasmonic biosensing results after an aerosol-to-hydrosol sampling process in COVID-19-related environments including a hospital and a nursing home. The detection limit reached 0.25 copies/mu L in the complex aerosol background without further purification. More importantly, the CAPS system enabled direct measurement of the SARS-CoV-2 virus exposures with high spatiotemporal resolution. Measurement and feedback of the results to healthcare workers and patients via a QR-code are completed within two hours. Based on a dose-response mu model, it is used the plasmonic biosensing signal to calculate probabilities of SARS-CoV-2 infection risk and estimate maximum exposure durations to an acceptable risk threshold in different environmental settings.
引用
收藏
页数:11
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