Department of Environmental Health and Engineering , Johns Hopkins Bloomberg School of Public Health , 615 North Wolfe Street , Baltimore , Maryland 21205 , United States.
Department of Chemical and Environmental Engineering , Yale University , 10 Hillhouse Avenue , New Haven , Connecticut 06511 , United States.
Environ Sci Technol. 2019 Jan 15;53(2):838-849. doi: 10.1021/acs.est.8b05174. Epub 2019 Jan 3.
Due to the rapid development of low-cost air-quality sensors, a rigorous scientific evaluation has not been conducted for many available sensors. We evaluated three Plantower PMS A003 sensors when exposed to eight particulate matter (PM) sources (i.e., incense, oleic acid, NaCl, talcum powder, cooking emissions, and monodispersed polystyrene latex spheres under controlled laboratory conditions and also residential air and ambient outdoor air in Baltimore, MD). The PM sensors exhibited a high degree of precision and R values greater than 0.86 for all sources, but the accuracy ranged from 13 to >90% compared with reference instruments. The sensors were most accurate for PM with diameters below 1 μm, and they poorly measured PM in the 2.5-5 μm range. The accuracy of the sensors was dependent on relative humidity (RH), with decreases in accuracy at RH > 50%. The sensors were able to produce meaningful data at low and high temperatures and when in motion, as it would be if utilized for outdoor or personal monitoring applications. It was most accurate in environments with polydispersed particle sources and may not be useful in specialized environments or experiments with narrow distributions of PM or aerosols with a large proportion of coarse PM.
由于低成本空气质量传感器的快速发展，许多可用传感器尚未进行严格的科学评估。我们在受控实验室条件下暴露于八种颗粒物 (PM) 源（即香薰、油酸、NaCl、滑石粉、烹饪排放物和单分散聚苯乙烯乳胶球），并在马里兰州巴尔的摩的住宅空气和环境室外空气中评估了三个 Plantower PMS A003 传感器。PM 传感器对所有来源表现出高度的精度和 R 值大于 0.86，但与参考仪器相比，精度范围从 13%到>90%。传感器对直径小于 1 μm 的 PM 最准确，而对 2.5-5 μm 范围内的 PM 测量效果不佳。传感器的准确性取决于相对湿度 (RH)，在 RH > 50%时准确性降低。传感器能够在低温和高温以及运动时产生有意义的数据，因为如果将其用于户外或个人监测应用，可能会出现这种情况。它在具有多分散颗粒源的环境中最准确，并且在具有 PM 或气溶胶窄分布或粗 PM 比例较大的特殊环境或实验中可能不适用。
