受限环境中病毒气溶胶浓度的表征和检测
Viral Aerosol Concentration Characterization and Detection in Bounded Environments
摘要：
随着时间的推移，病毒传播一直在间歇性地威胁人类生命。因此，确定病毒浓度特征和建立病毒传播模型被认为是提高病毒检测能力的主要里程碑。本文讨论了在有限环境中基于呼出气的病毒气溶胶检测问题，例如，一个有围墙的房间本文将呼出的气体模拟为连续穿过房间的云，并通过考虑房间两侧的部分吸收和反射来分析时空病毒浓度。本文首先推导了时空病毒浓度的封闭表达式。然后考虑部署由空气采样器和生物传感器组成的接收器，以检测特定病毒的病毒存在。因此，我们通过评估作为采样体积和接收器侧的检测时间实例的函数的病毒误检概率来评估所提出的系统的检测能力。我们的数值模拟验证了分析结果的有效性，并说明所提出的系统在室内环境中检测病毒的能力。结果进一步表征了几个系统参数对误检概率的影响。
英文摘要：
Viral spread has been intermittently threatening human life over time. Characterizing the viral concentration and modelling the viral transmission are, therefore, considered major milestones for enhancing viral detection capabilities. This paper addresses the problem of viral aerosol detection based on the exhaled breath in a bounded environment, e.g., a bounded room. The paper models the exhaled breath as a cloud which is emitted through the room continuously, and analyzes the temporal-spatial virus concentration by accounting for partial absorption and reflection at each side of the room. The paper first derives a closed form expression of the temporal-spatial virus concentration. It then considers the deployment of a receiver composed of an air sampler and a bio-sensor to detect the viral existence of a specific virus. We, therefore, assess the detection capabilities of the proposed system via evaluating the viral miss-detection probability as a function of the sampling volume and the detection time-instance at the receiver side. Our numerical simulations verify the validity of the analytical results, and illustrate the ability of the proposed system to detect viruses in indoor environments. The results further characterize the impacts of several system parameters on the miss-detection probability.
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