Seasonal variation of driving factors of ambient PM2.5 oxidative potential in Shenzhen, China

Chunbo Xing; Yixiang Wang; Xin Yang; Yaling Zeng; Jinghao Zhai; Baohua Cai; Antai Zhang; Tzung-May Fu; Lei Zhu; Ying Li; Xinming Wang; Yanli Zhang

doi:10.1016/j.scitotenv.2022.160771

Seasonal variation of driving factors of ambient PM_2.5 oxidative potential in Shenzhen, China

Sci Total Environ. 2023 Mar 1:862:160771. doi: 10.1016/j.scitotenv.2022.160771. Epub 2022 Dec 10.

Authors

Chunbo Xing¹, Yixiang Wang², Xin Yang³, Yaling Zeng², Jinghao Zhai², Baohua Cai², Antai Zhang², Tzung-May Fu², Lei Zhu², Ying Li⁴, Xinming Wang⁵, Yanli Zhang⁵

Affiliations

¹ School of Environment, Harbin Institute of Technology, Harbin 150001, China; Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
² Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
³ Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area, Shenzhen, Guangdong 518055, China. Electronic address: yangx@sustech.edu.cn.
⁴ Department of Ocean Sciences and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
⁵ State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China.

PMID: 36513240
DOI: 10.1016/j.scitotenv.2022.160771

Abstract

Reactive oxygen species (ROS) play a central role in health effects of ambient fine particulate matter (PM_2.5). In this work, we screened for efficient and complementary oxidative potential (OP) measurements by comparing the response values of multiple chemical probes (OP^DTT, OP^OH, OP^GSH) to ambient PM_2.5 in Shenzhen, China. Combined with meteorological condition and PM_2.5 chemical composition analysis, we explored the effects of different chemical components and emission sources on the ambient PM_2.5 OP and analyzed their seasonal variations. The results show that OP_m^DTT(mass-normalized) and OP_m^GSH-SLF were highly correlated (r = 0.77). OP^DTT was mainly influenced by organic carbon, while OP^OH was highly dominated by heavy metals. The combination of OP^DTT and OP^OH provides an efficient and comprehensive measurement of OP. Temporally, the OPs were substantially higher in winter than in summer (1.4 and 4 times higher for OP_m^DTT and OP_m^OH, respectively). The long-distance transported biomass burning sources from the north dominated the OP^DTT in winter, while the ship emissions mainly influenced the summer OP. The OP_m^DTT increased sharply with the decrease of PM_2.5 mass concentration, especially when the PM_2.5 concentration was lower than 30 μg/m³. The huge differences in wind fields between the winter and summer cause considerable variations in PM_2.5 concentrations, components, and OP. Our work emphasizes the necessity of long-term, multi-method, multi-component assessment of the OP of PM_2.5.

Keywords: Dithiothreitol; Emission source; Hydroxyl radical; Oxidative potential; PM(2.5); Seasonal variation.

MeSH terms

Air Pollutants* / analysis
China
Environmental Monitoring / methods
Oxidative Stress
Particulate Matter / analysis
Seasons

Substances

Air Pollutants
Particulate Matter