The effect of size distribution of ambient air particulate matter on oxidative potential by acellular method Dithiothreitol; a systematic review

J Environ Health Sci Eng. 2022 Jan 22;20(1):579-588. doi: 10.1007/s40201-021-00768-w. eCollection 2022 Jun.

Abstract

Today air pollution caused by particulate matter (PM) is a global issue, especially in densely populated and high-traffic cities. The formation of reactive oxygen species (ROS) by various toxicological studies is considered as one of the important effects caused by airborne particles that can lead to adverse effects on human health. In this study, to answer the question of whether particle size affects oxidative potential (OP), we searched the main databases, including PubMed, Scopus, Embase, and Web of Science, and defined search strategy based on the MESH terms for the above-mentioned search engines. All articles published until 2021 were searched. An ANOVA was run using R software to show the correlation between the size distributions of particulate matter and oxidative potential (base on mass and volumetric units) in ambient air. As expected, the regression results showed that the relationship between particle size and OP values for the studies based on mass-logarithm has a significant difference in the different distribution size categories, which was related to the difference between the <2.5 and < 1 categories. However, ANOVA analysis did not show a significant difference in the volumetric OP logarithm in the different distribution size categories. In this study, it was found that sizes higher than 2.5 μm did not have much effect on human health, and it is recommended that future research focus on PM2.5.

Supplementary information: The online version contains supplementary material available at 10.1007/s40201-021-00768-w.

Keywords: Acellular assays; Ambient air; Dithiothreitol; Oxidative potential; Particulate matter; Size distribution.

Publication types

  • Review