{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T01:11:36Z","timestamp":1780449096522,"version":"3.54.1"},"reference-count":51,"publisher":"Wiley","issue":"35","license":[{"start":{"date-parts":[[2022,10,30]],"date-time":"2022-10-30T00:00:00Z","timestamp":1667088000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Science"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>On\u2010site quantification and early\u2010stage infection risk assessment of airborne severe acute respiratory syndrome coronavirus 2 (SARS\u2010CoV\u20102) with high spatiotemporal resolution is a promising approach for mitigating the spread of coronavirus disease 2019 (COVID\u201019) pandemic and informing life\u2010saving decisions. Here, a condensation (hygroscopic growth)\u2010assisted bioaerosol collection and plasmonic photothermal sensing (CAPS) system for on\u2010site quantitative risk analysis of SARS\u2010CoV\u20102 virus\u2010laden aerosols is presented. The CAPS system provided rapid thermoplasmonic biosensing results after an aerosol\u2010to\u2010hydrosol sampling process in COVID\u201019\u2010related environments including a hospital and a nursing home. The detection limit reached 0.25 copies\/\u00b5L in the complex aerosol background without further purification. More importantly, the CAPS system enabled direct measurement of the SARS\u2010CoV\u20102 virus exposures with high spatiotemporal resolution. Measurement and feedback of the results to healthcare workers and patients via a QR\u2010code are completed within two hours. Based on a dose\u2010response<jats:italic>\u00b5<\/jats:italic> model, it is used the plasmonic biosensing signal to calculate probabilities of SARS\u2010CoV\u20102 infection risk and estimate maximum exposure durations to an acceptable risk threshold in different environmental settings.<\/jats:p>","DOI":"10.1002\/advs.202204774","type":"journal-article","created":{"date-parts":[[2022,10,30]],"date-time":"2022-10-30T23:21:15Z","timestamp":1667172075000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["On\u2010Site Quantification and Infection Risk Assessment of Airborne SARS\u2010CoV\u20102 Virus Via a Nanoplasmonic Bioaerosol Sensing System in Healthcare Settings"],"prefix":"10.1002","volume":"9","author":[{"given":"Guangyu","family":"Qiu","sequence":"first","affiliation":[{"name":"Institute of Environmental Engineering ETH Z\u00fcrich  Z\u00fcrich 8093 Switzerland"},{"name":"Laboratory for Advanced Analytical Technologies Empa Swiss Federal Laboratories for Materials Science and Technology  D\u00fcbendorf 8600 Switzerland"},{"name":"Institute of Medical Robotics Shanghai Jiao Tong University  Shanghai P. 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