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Adv Sci (Weinh) . On-Site Quantification and Infection Risk Assessment of Airborne SARS-CoV-2 Virus Via a Nanoplasmonic Bioaerosol Sensing System i

tetano

Editor, Senior Moderator
Adv Sci (Weinh)


. 2022 Oct 30;e2204774.
doi: 10.1002/advs.202204774. Online ahead of print.
On-Site Quantification and Infection Risk Assessment of Airborne SARS-CoV-2 Virus Via a Nanoplasmonic Bioaerosol Sensing System in Healthcare Settings


Guangyu Qiu[SUP] 1 2 3 [/SUP], Martin Spillmann[SUP] 1 [/SUP], Jiukai Tang[SUP] 1 2 [/SUP], Yi-Bo Zhao[SUP] 1 2 [/SUP], Yile Tao[SUP] 1 [/SUP], Xiaole Zhang[SUP] 1 [/SUP], Heike Geschwindner[SUP] 4 [/SUP], Lanja Saleh[SUP] 5 [/SUP], Walter Zingg[SUP] 6 [/SUP], Jing Wang[SUP] 1 2 [/SUP]



Affiliations

Abstract

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/µL 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-responseµ 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.

Keywords: COVID-19; airborne transmission; bioaerosols; biosensors; coronavirus; plasmonics; risk assessment.
 
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