Source apportionment of Beijing air pollution during a severe winter haze event and associated pro-inflammatory responses in lung epithelial cells. (February 2016)

• Record Type: Journal Article
• Authors: Liu, Qingyang; Baumgartner, Jill; Zhang, Yuanxun; Schauer, James J.
• Is Part Of: Atmospheric environment. Volume 126(2016)
• Page Start: 28
• Page End: 35
• Publication Date: 2016-02
• Subjects: Air pollution -- Beijing -- Haze particles -- Pro-inflammatory cytokines -- Particulate matter -- Source apportionment; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2015.11.031
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: Air pollution is a leading risk factor for the disease burden in China and globally. Few epidemiologic studies have characterized the particulate matter (PM) components and sources that are most responsible for adverse health outcomes, particularly in developing countries. In January 2013, a severe haze event occurred over 25 days in urban Beijing, China. Ambient fine particulate matter (PM2.5 ) was collected at a central urban site in Beijing from January 16-31, 2013. We analyzed the samples for water soluble ions, metals, elemental carbon (EC), organic carbon (OC), and individual organic molecular markers including n-alkanes, hopanes, PAHs and sterols. Chemical components were used to quantify the source contributions to PM2.5 using the chemical mass balance (CMB) model by the conversion of the OC estimates combined with inorganic secondary components (e.g. NH4 +, SO4 2−, NO3 - ). Water extracts of PM were exposed to lung epithelial cells, and supernatants recovered from cell cultures were assayed for the pro-inflammatory cytokines by a quantitative ELLSA method. Linear regression models were used to estimate the associations between PM sources and components with pro-inflammatory responses in lung epithelial cells following 24-hrs and 48-hrs of exposure. The largest contributors to PM2.5 during the monitoring period were inorganic secondary ions (53.2% and 54.0% on haze and non-haze days, respectively). Other organic matter (OM) contributed to a larger proportion of PM2.5 during haze days (16.9%) compared with non-haze days (12.9%), and coal combustion accounted for 10.9% and 8.7% on haze and non-haze days, respectively. We found PM2.5 mass and specific sources (e.g. coal combustion, traffic emission, dust, other OM, and inorganic secondary ions) were highly associated with inflammatory responses of lung epithelial cells. Our results showed greater responses in the exposure to 48-hr PM2.5 mass and its sources compared to 24-hr PM exposure, and that secondary and coal combustion sources play an important role in short-term inflammation and require cost-effective policy to control their contributions to air pollution. Highlights: Daily PM2.5 samples were collected in Beijing during an episode of severe haze in January, 2013. The CMB model was used to identify PM sources and quantify emissions for PM2.5 . Secondary sources and coal combustion were the largest contributors to ambient PM during haze episodes. Secondary sources and coal combustion are vital contributors to the health burden of air pollution.