On-Site Quantification and Infection Risk Assessment of Airborne SARS-CoV-2 Virus Via a Nanoplasmonic Bioaerosol Sensing System in Healthcare Settings.
Guangyu QiuMartin SpillmannJiukai TangYi-Bo ZhaoYile TaoXiaole ZhangHeike GeschwindnerLanja SalehWalter ZinggJing WangPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
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.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- coronavirus disease
- risk assessment
- healthcare
- early stage
- label free
- single molecule
- particulate matter
- newly diagnosed
- end stage renal disease
- human health
- heavy metals
- loop mediated isothermal amplification
- high resolution
- squamous cell carcinoma
- emergency department
- photodynamic therapy
- cancer therapy
- peritoneal dialysis
- drug delivery
- mass spectrometry
- water soluble
- energy transfer
- social media
- drug release
- patient reported outcomes
- prognostic factors
- patient reported