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Impacts of using auto-mode portable air cleaner on indoor PM2.5 levels: An intervention study

机译：在室内PM2.5水平上使用自动模式便携式空气清洁器的影响：干预研究

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"Auto-mode" portable air cleaners (PACs) designed to turn on automatically in response to elevated indoor PM2.5 concentrations are widely used in residences. This study assesses the impacts of using such PACs equipped with high-efficiency particulate air filters on residential PM2.5 levels in six households recruited in Seattle, Washington, for a randomized crossover study, in which participants used a PAC in their homes under three intervention scenarios: (1) sham-mode filtration in which all filters in the PAC were removed, (2) auto-mode filtration in which the PAC was set to auto mode, and (3) adjustable-mode filtration in which the participants were allowed to manually adjusted the PACs. Each filtration session was one-week long. PM2.5 levels were measured at 1-min intervals in the kitchen and living room of each household. Also, an hourly time-activity log was collected from each participant. The empirical concentrations and I/O ratios of PM2.5 were compared among the three filtration modes. Additionally, linear mixed-effects regression models (LMER) were developed to reveal the impacts of different filtration modes on indoor PM2.5, while controlling for outdoor PM2.5, indoor cooking events, and indoor relative humidity, and temperature. Based on the LMER models, when indoor cooking events were present and absent, auto-mode filtration significantly reduced the indoor PM2.5 levels by 31% [95% CI: 19%, 42%] and 28% [95% CI: 22%, 34%], respectively, compared with sham-mode filtration, and reduced the indoor PM2.5 levels by 19% [95% CI: 6%, 31%] and 4% [95% CI: 4%, 11%], respectively, compared with adjustable-mode filtration. These findings suggest that using such PACs running in auto mode is a practical and effective way to reduce indoor PM2.5 levels.
机译：“自动模式”便携式空气清洁剂（PAC）设计用于响应升高的室内PM2.5浓度自动打开浓度。本研究评估了在西雅图，华盛顿招聘的六户中使用高效微粒空气过滤器的影响，为华盛顿招聘的六个家庭，用于随机交叉研究，其中参与者在三个干预下使用了他们的家庭中的PAC场景：（1）假模式过滤，其中PAC中的所有过滤器被移除，（2）将PAC设置为自动模式的自动模式过滤，（3）允许参与者的调节模式过滤手动调整PAC。每次过滤会话为期一周。 PM2.5水平在每个家庭的厨房和客厅间隔为1分钟。此外，从每个参与者收集每小时时间活动日志。在三种过滤模式中比较了PM2.5的经验浓度和I / O比。此外，开发了线性混合效应回归模型（LMER）以揭示不同过滤模式对室内PM2.5的影响，同时控制室外PM2.5，室内烹饪活动和室内相对湿度和温度。基于LMOR模型，当存在室内烹饪事件并且不存在时，自动模式过滤显着降低室内PM2.5水平31％[95％CI：19％，42％]和28％[95％CI：22与假型过滤相比，％，34％]分别比较，并将室内PM2.5水平降低19％[95％CI：6％，31％]和4％[95％Ci：4％，11％ [分别与可调模式过滤相比。这些发现表明，使用在自动模式下运行的PACS是减少室内PM2.5水平的实用有效方法。

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