Sousan Sinan, Pender Jack, Streuber Dillon, Haley Meaghan, Shingleton Will, Soule Eric
Department of Public Health, Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA.
North Carolina Agromedicine Institute, Greenville, North Carolina, USA.
Aerosol Sci Technol. 2022;56(6):517-529. doi: 10.1080/02786826.2022.2047152. Epub 2022 Mar 18.
Research on secondhand electronic cigarette (ECIG) aerosol exposure using aerosol monitors has demonstrated that ECIG use can generate high concentrations of particulate matter (PM) and impact indoor air quality. However, quantifying indoor air PM concentrations using real-time optical monitors with on-site calibration specifically for different PM exposures has not been established. Therefore, the ECIG aerosol filter correction factors were calculated for different PM sizes (PM, PM, and PM) and different aerosol optical monitors, the MiniWRAS, pDR, and SidePak. ECIG aerosol generation was achieved using five ECIGs representing three ECIG types, disposable, pod-mod, and box mod. The aerosol size distribution by mass was measured for the five ECIGs during PM generation. Compared to the discrete filter measurements, the MiniWRAS performed the best when the concentrations were low, followed by the pDR and SidePak. The average PM concentrations and correction factor ranges for the different ECIGs were 323-1,775 μg/m and 0.64-6.01 for the MiniWRAS, 1,388-13,365 μg/m and 0.41-0.80 for the pDR, and 4,632-55,339 μg/m and 0.13-0.20 for the SidePak, respectively. The mass median diameter ranged from 0.41 and 0.62 μm, and most particles generated from the ECIGs were smaller than 1 μm. This study demonstrates that aerosol size distribution varies between ECIGs. Likewise, the correction factors developed for the real-time aerosol monitors are specific to the ECIG used. Thus, these data can help improve ECIG aerosol exposure measurement accuracy.
使用气溶胶监测器对二手电子烟气溶胶暴露进行的研究表明,使用电子烟会产生高浓度的颗粒物(PM)并影响室内空气质量。然而,尚未建立专门针对不同PM暴露情况进行现场校准的实时光学监测器来量化室内空气中PM浓度的方法。因此,针对不同的PM粒径(PM、PM和PM)以及不同的气溶胶光学监测器MiniWRAS、pDR和SidePak,计算了电子烟气溶胶过滤器校正因子。使用代表三种电子烟类型(一次性、烟弹式和盒子式)的五款电子烟来产生气溶胶。在产生PM期间,测量了这五款电子烟按质量计的气溶胶粒径分布。与离散过滤器测量结果相比,当浓度较低时,MiniWRAS表现最佳,其次是pDR和SidePak。不同电子烟的平均PM浓度和校正因子范围分别为:MiniWRAS为323 - 1775μg/m³和0.64 - 6.01,pDR为1388 - 13365μg/m³和0.41 - 0.80,SidePak为4632 - 55339μg/m³和0.13 - 0.20。质量中值直径范围为0.41至0.62μm,电子烟产生的大多数颗粒小于1μm。本研究表明,不同电子烟的气溶胶粒径分布有所不同。同样,为实时气溶胶监测器开发的校正因子特定于所使用的电子烟。因此,这些数据有助于提高电子烟气溶胶暴露测量的准确性。