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[Pollution characteristics and risk assessment of carcinogenicity or non-carcinogenicityonheavy metalsin Particulate Matter 2.5 in Shenzhen]. | LitMetric

AI Article Synopsis

  • The study analyzes pollution and health risks associated with heavy metals in PM(2.5) air samples collected from Shenzhen, over two years (2014-2015) by season.
  • Twelve heavy metals were detected using ICP-MS, with non-carcinogenic risks identified particularly in spring, autumn, and winter, highlighting As, Mn, and Cd as having elevated risk levels.
  • Carcinogenic risk varied by season, being highest in winter, with As, Cr, and Cd posing the most significant cancer risks to residents, underscoring the need for improved occupational health management and further research.

Article Abstract

To assess the pollution characteristics and risk assessment of carcinogenicity or non-carcinogenicity on heavy metals in PM(2.5) in Shenzhen. PM(2.5) samples were collected monthly from the year of 2014 to 2015, and analyzed by seasons. 12 heavy metal elements (Pb, Hg, Mn, Sb, Al, As, Be, Cd, Cr, Ni, Se, Tl) in PM(2.5) were detected by ICP-MS spectrometry. Health risk assessment was conducted using the recommended United States Environmental Protection Agency (USA EPA) model. The median of PM(2.5) concentration was 45.10 μg/m(3) in Longgang district of Shenzhen. The non-carcinogenecity risks of the metals in PM(2.5) existed in spring, autumn and winter (HQ>1). Three metal elements including As, Mn and Cd have higher HQ levels. The carcinogenecity risk levels in four seasons were winter, autumn, spring and summer, respectively. The carcinogenecity risks in four seasons were between 10(-6) to 10(-4). As, Cr and Cd have higher carcinogenicityrisks. The heavy metals in PM(2.5) have both carcinogenecity risk and non-carcinogenecity risk to residents in Longgang district of Shenzhen, the occupational health management must be continuously strengthened, the further research and the measures for prevention and control should be considered.

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Source
http://dx.doi.org/10.3760/cma.j.issn.1001-9391.2019.06.007DOI Listing

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