Calibration for number size distribution of bacterial cells measured with traditional size-segregated aerosol samplers

气溶胶 室内生物气溶胶 校准 环境科学 生物气溶胶 样本量测定 粒子数 航程(航空) 粒度分布 粒径 分析化学(期刊) 环境化学 化学 材料科学 数学 统计 物理 气象学 体积热力学 热力学 物理化学 复合材料
作者
Chunlan Fan,Wei Hu,Daizhou Zhang
出处
期刊:Journal of Aerosol Science [Elsevier]
卷期号:166: 106071-106071 被引量:2
标识
DOI:10.1016/j.jaerosci.2022.106071
摘要

Andersen samplers were invented to study the health effects of airborne particles according to the particle size and have been carefully validated and widely used. Recently, it turned to be necessary to quantify the cell concentration of airborne microbes with the progress in understanding the roles that bioaerosols play in the atmosphere. To collect enough particles on filters, collection time was frequently extended from minutes to hours and even days. However, prolonged impaction time may cause considerable microbes trapped in upper stage filters to drop to subsequent stage filters, leading to supposed uncertainties in the microbial size distribution. This study investigated the uncertainties in bacterial cell number size distribution measured with 8-stage Andersen samplers at a flow rate of 28.3 L min −1 (50% cutoff diameters: >11, 7.0, 4.7, 3.3, 2.1, 1.1, 0.65 and 0.43 μm). Results showed that the concentration of bacterial cells in the size range of >4.7 μm could be underestimated by 40–50% as the concentration in the size range smaller than 3.3 μm was overestimated when the sample collection time was more than 6 h. Sample collection time should be less than 20 min to suppress the uncertainty below 10%, and 42 min to be smaller than 20%. Based on identified exponential inverse relation between the dropping rate from each stage and sample collection time, a scheme is proposed to calibrate the counting results of Andersen sampler samples to obtain the number size distribution of airborne bacterial cells with examples. • Uncertainties of Andersen samplers for bacterial size distribution were assessed. • Bacteria dropped from larger to smaller size ranges during prolonged sampling. • 40–50% of bacteria in size >4.7 μm dropped when sampling time was over 6 h. • A calibration scheme was proposed to reduce the uncertainties.

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