Chemical characterization and source apportionment of PM2.5 personal exposure of two cohorts living in urban and suburban Beijing

Shang, Jing; Khuzestani, Reza Bashiri; Tian, Jingyu; Schauer, James J.; Hua, Jian; Zhang, Yang; Cai, Tianqi; Fang, Daqing; An, Jian-Xiong; Zhang, Yuanxun

doi:10.1016/j.envpol.2018.11.076

Cited by 41 publications

(17 citation statements)

References 49 publications

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“…Among elements of PM 2.5 , Fe was the most major component with a mean (±SD) of 0.85 (±0.45) μg/m 3 , followed by Si with 0.67 (±0.0.35) μg/m 3 . Our findings were comparable to previous studies reported in Hong Kong and Beijing . In addition, we observed correlations among constituents varied with constituents but they were all statistically significant at 1% levels (SI Table S4).…”

Section: Resultssupporting

confidence: 91%

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Personal Fine Particulate Matter Constituents, Increased Systemic Inflammation, and the Role of DNA Hypomethylation

Lei

Chen

Wang

et al. 2019

Environ. Sci. Technol.

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Limited evidence is available on the effects of various fine particulate matter (PM2.5) components on inflammatory cytokines and DNA methylation. We examined whether 16 PM2.5 components are associated with changes in four blood biomarkers, that is, tumor necrosis factor-α (TNF-α), soluble cluster of differentiation 40 ligand (sCD40L), soluble intercellular adhesion molecule-1 (sICAM-1), and fibrinogen, as well as their corresponding DNA methylation levels in a panel of 36 healthy college students in Shanghai, China. We used linear mixed-effect models to evaluate the associations, with controls of potential confounders. We further conducted mediation analysis to evaluate the potential mediation effects of components on inflammatory markers through change in DNA methylation. We observed that several components were consistently associated with TNF-α and fibrinogen as well as their DNA hypomethylation. For example, an interquartile range increase in personal exposure to PM2.5-lead (Pb) was associated with 65.20% (95% CI: 37.07, 99.10) increase in TNF-α and 2.66 (95% CI: 37.07, 99.10) decrease in TNF-α methylation, 30.51% (95% CI: 0.72, 69.11) increase in fibrinogen and 1.25 (95% CI: 0.67, 1.83) decrease in F3 methylation. PM2.5 components were significantly associated with sICAM-1 methylation but not with sICAM-1 protein. DNA methylation mediated 19.89%–41.75% of the elevation in TNF-α expression by various PM2.5 constituents. Our findings provide clues that personal PM2.5 constituents exposure may contribute to increased systemic inflammation through DNA hypomethylation.

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Section: Resultssupporting

confidence: 91%

“…Our findings were comparable to previous studies reported in Hong Kong 12 and Beijing. 19 In addition, we observed correlations among constituents varied with constituents but they were all statistically significant at 1% levels (SI Table S4).…”

Section: ■ Resultsmentioning

confidence: 99%

Personal Fine Particulate Matter Constituents, Increased Systemic Inflammation, and the Role of DNA Hypomethylation

Lei

Chen

Wang

et al. 2019

Environ. Sci. Technol.

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“…Increasingly strict requirements for buildings to adopt energy conservation measures have led to more airtight building envelopes to mitigate outdoor air infiltration, which reduced the air exchange between indoors and outdoors. Besides, there has been an increasing influx of synthetic chemicals used indoors 1,2 . As a result, buildings more readily produce and accumulate indoor air pollutants than ever before.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, there has been an increasing influx of synthetic chemicals used indoors. 1,2 As a result, buildings more readily produce and accumulate indoor air pollutants than ever before. Because we spend the majority of our time indoors, most of human daily air pollutant exposure, even to air pollutants of outdoor origin, occurs indoors 3,4 and those concentrations often exceed health-based standards for chronic and at times even acute exposures.…”

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confidence: 99%

Longitudinal assessment of personal air pollution clouds in ten home and office environments

Serrano

Licina

2022

Indoor Air

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Elevated exposure to indoor air pollution is associated with negative human health and well‐being outcomes. Inhalation exposure studies commonly rely on stationary monitors in combination with human time–activity patterns; however, this method is susceptible to exposure misclassification. We tracked ten participants during five consecutive workdays with stationary air pollutant monitors at their homes and offices, and wearable personal monitors. Real‐time measures of size‐resolved particulate matter (within range 0.3–10 μm) and CO2, and integrated samples of PM10, VOCs, and aldehydes were collected. The PM10 cloud magnitude (excess of PM10 beyond stationary room concentration) was detected for all participants in homes and offices. The PM10 cloud magnitude ranged within 5–37 μg/m3 and was the most discernible in the coarse particle size fraction. Particles associated with “Urban mix,” “Traffic,” and “Human activities” sources contributed the most to PM10 exposures. The personal CO2 clouds were detected for participants with the SEMs in their living rooms and private or low‐occupancy offices. The stationary monitors placed in bedrooms were better predictors of personal PM10 and CO2 exposures. An overall of 33 VOCs and aldehydes were detected in both microenvironments, with the majority exhibiting high correlation between personal and stationary stations.

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“…According to a certain amount of research, the high PM 2.5 level will have an extreme impact on the human health, especially in the near-ground altitude in the densely populated area (Kakkad et al, 2022). The increased morality together with the respiratory diseases and cardiovascular diseases has an adjacent inter relation between each other (Gauderman et al, 2015;Xie et al, 2016;Shang et al, 2019;Sugiyama et al, 2020). PM 2.5 is basically a complex mixture of multiple components from elementary natural and anthropogenic sources (Tao et al, 2014;Taghvaee et al, 2018;Bi et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Atmospheric PM2.5 near an Urban-Industrial Complex during Air-pollution Episodes with Various Meteorological Conditions

Lin

Deng

Huang

et al. 2022

Aerosol Air Qual. Res.

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This study investigates the atmospheric fine particulate matter (PM 2.5 ) issue caused by the multi-effect of complicated sources, terrain, and meteorology at Southern Taiwan. Three sampling stations represent an urban, a rural, and a coastal sites near an urban-industrial complex. The atmospheric PM 2.5 were measured during a pollution episode from November to February, when the reference samples were collected in April. The sample was collected with a constant-flow sampler with the Federal Reference Method performance. After determining the PM 2.5 mass, their chemical compositions of ions, metals, and carbons were analyzed for the different properties caused by the multi-factors. The chemical mass balance (CMB) model was employed to evaluate the emission contributions. Additionally, an inverse trajectory model is used to analyze the pollutant transport and support the CMB results. The air-pollution episodes occurred within the winter to spring. The PM2.5 were composed of 51-69% ions, 18-31% carbonaceous species, and 1.5-3.0% metals. The SO 4 2-, NH 4 + , and NO 3contributed 92-96% of the ions. Most of the organic/elemental carbon ratios were low, suggesting more primary carbon emissions. The metal contents were minor and dominated by Fe and Zn. The CMB model indicated the PM 2.5 were dominated by 24% secondary SO 4 2-, 14.7% traffics, 8.3% petrochemical emissions, 6.8% soil dust, and 4.5% sintering plant emission. For non-episode days, the PM 2.5 were contributed by 34.9% traffics, 30% the secondary SO 4 2-, 10.3% secondary NO 3 -, and 6.8% soil dust. Nevertheless, the frequent sea-land breeze might lead to more powerful wind eddies and bring the primary PM 2.5 and the aerosol precursors from the emission areas. Consequently, the uncontrollable meteorological changings would lead to the pollution issues at the lowly convective area. Therefore, the averaging emissions of the PM 2.5 and precursors should be lowered; meanwhile, the rapid controls of the primary emissions are suggested when the high-level PM 2.5 are forecasted.

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Chemical characterization and source apportionment of PM2.5 personal exposure of two cohorts living in urban and suburban Beijing

Cited by 41 publications

References 49 publications

Personal Fine Particulate Matter Constituents, Increased Systemic Inflammation, and the Role of DNA Hypomethylation

Personal Fine Particulate Matter Constituents, Increased Systemic Inflammation, and the Role of DNA Hypomethylation

Longitudinal assessment of personal air pollution clouds in ten home and office environments

Atmospheric PM2.5 near an Urban-Industrial Complex during Air-pollution Episodes with Various Meteorological Conditions

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