Ran Chen , Lili Li , Likun Huang , Guangzhi Wang , Yan Wang
{"title":"PM2.5 and microbial aerosols in cold climates: Biological and chemical characteristics, correlation, and source identification during the heating period","authors":"Ran Chen , Lili Li , Likun Huang , Guangzhi Wang , Yan Wang","doi":"10.1016/j.psep.2025.107103","DOIUrl":null,"url":null,"abstract":"<div><div>PM<sub>2.5</sub> pollution in cold, dry regions demonstrates heightened cumulative effects through dual roles as chemical and microbial carriers. This study investigated PM<sub>2.5</sub> and associated microbial aerosols in Harbin (October 2023–March 2024) to track temporal trends and identify biological component drivers. PM<sub>2.5</sub> concentrations ranged from 0.020–0.101 mg/m<sup>3</sup>, with mean concentrations of: heavy metals (699.42 ng/m<sup>3</sup>), secondary ions (16.51 μg/m<sup>3</sup>), PAHs (20.99 ng/m<sup>3</sup>), and culturable microbes (129.57 CFU/m<sup>3</sup>). PAH health risk assessments indicate a low risk of cancer. Using enrichment factor analysis, scanning electron microscopy (SEM), and principal component analysis-multiple linear regression (PCA-MLR), we identified coal combustion and vehicle emissions as dominant sources. Microbial aerosols peaked within 1.1–2.1 μm particles (21.04 %–51.31 %), demonstrating greater activity on coarse particles. Genomic sequencing revealed Achromobacter (44.68 %) as the predominant bacterial genus and Epicoccum (33.13 %) as the dominant fungal genus. Functional profiling indicated bacterial dominance in metabolic processes and fungal specialization in saprotrophy. Spearman correlation analysis further demonstrated distinct chemical-microbial interactions: elements like Sb, Se, Ni, Al, As, Cr, PAHs, and inorganic ions, along with meteorological factors such as atmospheric pressure and wind speed, exhibited varying positive or negative correlations with microbial concentrations, activity levels, and community composition.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"198 ","pages":"Article 107103"},"PeriodicalIF":6.9000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Process Safety and Environmental Protection","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957582025003702","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
PM2.5 and microbial aerosols in cold climates: Biological and chemical characteristics, correlation, and source identification during the heating period
PM2.5 pollution in cold, dry regions demonstrates heightened cumulative effects through dual roles as chemical and microbial carriers. This study investigated PM2.5 and associated microbial aerosols in Harbin (October 2023–March 2024) to track temporal trends and identify biological component drivers. PM2.5 concentrations ranged from 0.020–0.101 mg/m3, with mean concentrations of: heavy metals (699.42 ng/m3), secondary ions (16.51 μg/m3), PAHs (20.99 ng/m3), and culturable microbes (129.57 CFU/m3). PAH health risk assessments indicate a low risk of cancer. Using enrichment factor analysis, scanning electron microscopy (SEM), and principal component analysis-multiple linear regression (PCA-MLR), we identified coal combustion and vehicle emissions as dominant sources. Microbial aerosols peaked within 1.1–2.1 μm particles (21.04 %–51.31 %), demonstrating greater activity on coarse particles. Genomic sequencing revealed Achromobacter (44.68 %) as the predominant bacterial genus and Epicoccum (33.13 %) as the dominant fungal genus. Functional profiling indicated bacterial dominance in metabolic processes and fungal specialization in saprotrophy. Spearman correlation analysis further demonstrated distinct chemical-microbial interactions: elements like Sb, Se, Ni, Al, As, Cr, PAHs, and inorganic ions, along with meteorological factors such as atmospheric pressure and wind speed, exhibited varying positive or negative correlations with microbial concentrations, activity levels, and community composition.
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