Using aerosol tracers helps assess the risk of airborne infections in building designs, particularly against viruses like SARS-CoV-2 and influenza.
A method is proposed to enhance a quantitative microbial risk assessment (QMRA) model by using synthetic DNA tracer concentrations to understand aerosol emissions from coughing or sneezing.
The tracer-scaled QMRA model evaluates various risk reduction strategies, such as ventilation and air filtration, providing a simple way to assess the effectiveness of interventions in reducing infection risks in indoor spaces.
The study evaluated a bioscrubber system with a packed bed column and a stirred tank bioreactor for reducing N2O emissions over 95 days.
Up to 40% N2O removal efficiency was achieved at high liquid recirculation rates, with further reduction in the bioreactor reaching over 80% using methanol.
The research highlights the establishment of a diverse microbial community that effectively denitrifies N2O, marking a significant advancement in methods for abating this gas in air emissions.