TY - JOUR
T1 - Emulating Near-Roadway Exposure to Traffic-Related Air Pollution via Real-Time Emissions from a Major Freeway Tunnel System
AU - Bein, Keith J.
AU - Wallis, Chris D.
AU - Silverman, Jill L.
AU - Lein, Pamela J.
AU - Wexler, Anthony Stein
N1 - Funding Information:
This research was funded by the National Institutes of Health (NIH: R21 ES026515, R21 ES025570, R01 ES026670, P30 ES023513, and P30 AG010129). K.J.B. was partially supported by the National Institute of Occupational Health & Safety (U54 OH007550) and the NIH (RF1 AG074709). The contents of this work do not necessarily represent the views of the NIH, and the NIH does not endorse the purchase of any commercial products or services mentioned in this publication. The authors thank Caltrans and their staff for allowing access to the Caldecott tunnel to site this facility and support during its construction and operation.
Publisher Copyright:
© 2022 American Chemical Society.
PY - 2021
Y1 - 2021
N2 - Epidemiological and toxicological studies continue to demonstrate correlative and causal relationships between exposure to traffic-related air pollution and various metrics of adverse pulmonary, cardiovascular, and neurological health effects. The key challenge for in vivo studies is replicating real-world, near-roadway exposure dynamics in laboratory animal models that mimic true human exposures. The advantage of animal models is the accelerated time scales to show statistically significant physiological and/or behavioral response. This work describes a novel exposure facility adjacent to a major freeway tunnel system that provides a platform for real-time chronic exposure studies. The primary conclusion is that particulate matter (PM) concentrations at this facility are routinely well below the National Ambient Air Quality Standards (NAAQS), but studies completed to date still demonstrate significant neurological and cardiovascular effects. Internal combustion engines produce large numbers of ultrafine particles that contribute negligible mass to the atmosphere relative to NAAQS regulated PM2.5 but have high surface area and mobility in the body. It is posited here that current federal and state air quality standards are thus insufficient to fully protect human health, most notably the developing and aging brain, due to regulatory gaps for ultrafine particles.
AB - Epidemiological and toxicological studies continue to demonstrate correlative and causal relationships between exposure to traffic-related air pollution and various metrics of adverse pulmonary, cardiovascular, and neurological health effects. The key challenge for in vivo studies is replicating real-world, near-roadway exposure dynamics in laboratory animal models that mimic true human exposures. The advantage of animal models is the accelerated time scales to show statistically significant physiological and/or behavioral response. This work describes a novel exposure facility adjacent to a major freeway tunnel system that provides a platform for real-time chronic exposure studies. The primary conclusion is that particulate matter (PM) concentrations at this facility are routinely well below the National Ambient Air Quality Standards (NAAQS), but studies completed to date still demonstrate significant neurological and cardiovascular effects. Internal combustion engines produce large numbers of ultrafine particles that contribute negligible mass to the atmosphere relative to NAAQS regulated PM2.5 but have high surface area and mobility in the body. It is posited here that current federal and state air quality standards are thus insufficient to fully protect human health, most notably the developing and aging brain, due to regulatory gaps for ultrafine particles.
KW - chronic inhalation exposure
KW - freeway tunnel systems
KW - health effects of air pollution
KW - near-roadway exposure
KW - real-time exposure studies
KW - traffic related air pollution
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U2 - 10.1021/acs.est.1c07047
DO - 10.1021/acs.est.1c07047
M3 - Article
C2 - 35235290
AN - SCOPUS:85126344377
JO - Environmental Science & Technology
JF - Environmental Science & Technology
SN - 0013-936X
ER -