Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Sci Rep. 2022 Apr 21;12(1):6546. doi: 10.1038/s41598-022-10440-4.
Development of efficient virus aerosol monitoring and removal devices requires aerosolization of the test virus using atomizers. The number concentration and size measurements of aerosolized virus particles are required to evaluate the performance of the devices. Although diffusion dryers can remove water droplets generated using atomizers, they often fail to remove them entirely from the air stream. Consequently, particle measurement devices, such as scanning mobility particle sizer (SMPS), can falsely identify the remaining nanosized water droplets as virus aerosol particles. This in turn affects the accuracy of the evaluation of devices for sampling or removing virus aerosol particles. In this study, a plaque-forming assay combined with SMPS measurement was used to evaluate sufficient drying conditions. We proposed an empirical equation to determine the total number concentration of aerosolized particles measured using the SMPS as a function of the carrier air flow rate and residence time of the particles in the diffusion dryers. The difference in the total number concentration of particles under sufficient and insufficient diffusion drying conditions was presented as a percentage of error.
开发高效的病毒气溶胶监测和去除设备需要使用雾化器将测试病毒雾化。需要对雾化病毒颗粒的数量浓度和尺寸进行测量,以评估设备的性能。虽然扩散干燥器可以去除雾化器产生的液滴,但它们往往不能将其完全从气流中去除。因此,颗粒测量设备(如扫描迁移率颗粒分析仪(SMPS))可能会错误地将剩余的纳米级水滴识别为病毒气溶胶颗粒。这反过来又会影响对用于采样或去除病毒气溶胶颗粒的设备的评估的准确性。在这项研究中,我们使用噬菌斑形成测定法结合 SMPS 测量来评估充分干燥条件。我们提出了一个经验方程,以确定使用 SMPS 测量的气溶胶化颗粒的总数量浓度作为载气流速和颗粒在扩散干燥器中的停留时间的函数。充分和不充分扩散干燥条件下颗粒总数量浓度的差异表示为误差百分比。