TY - JOUR
T1 - AirPen: A Wearable Monitor for Characterizing Exposures to Particulate Matter and Volatile Organic Compounds
T2 - A Wearable Monitor for Characterizing Exposures to Particulate Matter and Volatile Organic Compounds
AU - Tryner, Jessica
AU - Quinn, Casey
AU - Molina Rueda, Emilio
AU - Andales, Marie J.
AU - L’Orange, Christian
AU - Mehaffy, John
AU - Carter, Ellison
AU - Volckens, John
N1 - Funding Information:
This work was funded by National Institute for Occupational Safety and Health (NIOSH) under Grant number R01OH011660. We acknowledge Todd Hochwitz for designing the prototype AirPen circuit board. VOC samples were analyzed at the Colorado State University Analytical Resources Core (RRID: SCR_021758). The authors thank the Analytical Resources Core staff, especially Karolien Denef, for instrument access, training, and assistance with sample analysis. Finally, we thank our study participants for their time and hospitality.
Publisher Copyright:
© 2023 The Authors. Published by American Chemical Society.
PY - 2023/7/25
Y1 - 2023/7/25
N2 - Exposure to air pollution is a leading risk factor for disease and premature death, but technologies for assessing personal exposure to particulate and gaseous air pollutants, including the timing and location of such exposures, are limited. We developed a small, quiet, wearable monitor, called the AirPen, to quantify personal exposures to fine particulate matter (PM2.5) and volatile organic compounds (VOCs). The AirPen combines physical sample collection (PM onto a filter and VOCs onto a sorbent tube) with a suite of low-cost sensors (for PM, VOCs, temperature, pressure, humidity, light intensity, location, and motion). We validated the AirPen against conventional personal sampling equipment in the laboratory and then conducted a field study to measure at-work and away-from-work exposures to PM2.5 and VOCs among employees at an agricultural facility in Colorado, USA. The resultant sampling and sensor data indicated that personal exposures to benzene, toluene, ethylbenzene, and xylenes were dominated by a specific workplace location. These results illustrate how the AirPen can be used to advance our understanding of personal exposure to air pollution as a function of time, location, source, and activity, even in the absence of detailed activity diary data.
AB - Exposure to air pollution is a leading risk factor for disease and premature death, but technologies for assessing personal exposure to particulate and gaseous air pollutants, including the timing and location of such exposures, are limited. We developed a small, quiet, wearable monitor, called the AirPen, to quantify personal exposures to fine particulate matter (PM2.5) and volatile organic compounds (VOCs). The AirPen combines physical sample collection (PM onto a filter and VOCs onto a sorbent tube) with a suite of low-cost sensors (for PM, VOCs, temperature, pressure, humidity, light intensity, location, and motion). We validated the AirPen against conventional personal sampling equipment in the laboratory and then conducted a field study to measure at-work and away-from-work exposures to PM2.5 and VOCs among employees at an agricultural facility in Colorado, USA. The resultant sampling and sensor data indicated that personal exposures to benzene, toluene, ethylbenzene, and xylenes were dominated by a specific workplace location. These results illustrate how the AirPen can be used to advance our understanding of personal exposure to air pollution as a function of time, location, source, and activity, even in the absence of detailed activity diary data.
KW - exposome
KW - industrial hygiene
KW - low-cost sensors
KW - occupational health
KW - personal exposure assessment
UR - https://www.scopus.com/pages/publications/85165785325
UR - https://www.mendeley.com/catalogue/9771eb78-e742-31ce-ae99-a58c533e9289/
U2 - 10.1021/acs.est.3c02238
DO - 10.1021/acs.est.3c02238
M3 - Article
C2 - 37450410
SN - 0013-936X
VL - 57
SP - 10604
EP - 10614
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 29
ER -