Environment international · 2026
Dynamic oxidative potential of organic matter and their source-specific key toxicants during haze episodes in North China.
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Cao Feiyan, Feng Xinxin, Han Yong, Chen Yingjun, Jiang Hongxing, Chen Tian, Shang Yu, Peng Yu, Liu Zeyu, Cai Junjie, Li Dan
Аннотация
Haze episodes pose substantial health risks to human-beings, yet the connections between the sources and chemical composition of fine particulate matter (PM2.5) and health effects remain inadequately understood. This study employed the high time-resolution (1-h) offline sampling and investigated the chemical characteristics and oxidative potential (OP) of the methanol-soluble organic matter (MSOM) in PM2.5 during three haze events in the North China Plain in 2020. The average volume-normalized and mass-normalized OP (OPv and OPm) during the three episodes (EP1-EP3) were 4.1 ± 1.6, 3.4 ± 1.2, 5.5 ± 1.9 pmol/min/m3, and 20.3 ± 4.9, 27.9 ± 6.7, 22.4 ± 5.3 pmol/min/μg, respectively. Positive matrix factorization model analysis revealed that the contributions of primary combustion (vehicle emission, biomass burning and coal combustion) accounted for ∼60% of total OPm, and the first- and secondary-generation aqueous-phase secondary organic aerosol formation processes (aqSOA I and aqSOA Ⅱ) contributed ∼36% of total OPm. The average OPm in nighttime showed higher values than that in daytime, with the nighttime OPm being predominantly influenced by primary emissions, whereas daytime SOA processes making a major contribution to OPm. Non-targeted screening based on Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) analysis suggested that nitrogen-containing organic compounds were the dominant contributors to OPm (61%), especially those nitro-/oxygenated-condensed aromatics (Nitro-/O-ConA) and high-oxygen highly unsaturated compounds (HO-HUPC). By integrating the source information with molecular fingerprinting, we find that nitro- ConA were key toxic components in primary emissions, whereas secondary sources were enriched with HO-HUPC. Overall, our results improved the molecular-level understanding of the sources and evolution of key toxic components during haze events.