Relationship between Atmospheric PM-Bound Reactive Oxygen Species, Their Half-Lives, and Regulated Pollutants: Investigation and Preliminary Model

• Published in: Environmental science & technology 2020-04, Vol.54 (8), p.4995-5002
• Main Authors: Brown, Reece A, Stevanovic, Svetlana, Bottle, Steven, Wang, Hao, Hu, Ziyuan, Wu, Changda, Wang, Boguang, Ristovski, Zoran
• Format: Article
• Language: English
• Subjects: Air pollution; Atmospheric monitoring; Carbon monoxide; Epidemiology; Nitroxide; Particulate emissions; Particulate matter; Pollutants; Reactive oxygen species; Standard deviation
• ISSN: 0013-936X; 1520-5851
• DOI: 10.1021/acs.est.9b06643

The concentration, nature, and persistence of particulate matter (PM)-bound reactive oxygen species (ROS) are of significant interest in understanding how atmospheric pollution affects health. However, the inherent difficulties in their measurement, particularly regarding the so-called “short-lived” ROS, have limited our understanding of their persistence and concentrations in the atmosphere. This paper aims to address this limitation through the analysis of PM-bound ROS measurements from the Particle Into Nitroxide Quencher (PINQ) system at an atmospheric monitoring site in the city of Heshan, Guangdong Province, China. The measured daily average and standard deviation for the measurement period was 0.050 ± 0.017 nmol·m–3. The averaged measured concentration of ROS per mass of PM and standard deviation was 0.0012 ± nmol·mg. The dataset was also correlated with standard pollutants, and a simplified model was constructed to separate the contributions of short-lived (t 1/2 = 5 min) and long-lived (t 1/2 ∼ infinity) ROS to total concentration using ozone, carbon monoxide, and PM mass. This showed that the short-lived ROS contribute an average of 33% of the daily PM-bound ROS burden over the measurement period, up to 52% of daily average on elevated days, and up to 71% for hourly averages. These results highlight the need for accurate measurements of short-lived ROS and provide the starting point for a general model to predict PM-bound ROS concentrations using widely available standard pollutants for future epidemiological research.