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Environmental Science and Pollution Research

, Volume 26, Issue 30, pp 30826–30835 | Cite as

Fraction distribution of arsenic in different-sized atmospheric particulate matters

  • Jiao-Jiao Xie
  • Chun-Gang YuanEmail author
  • Jin Xie
  • Yi-Wen Shen
  • Da-Wen Zha
  • Ke-Gang Zhang
  • Hong-Tao Zhu
Research Article
  • 99 Downloads

Abstract

The sequential extraction method was used to determine the fraction of arsenic (As) in different-sized particulate matters (PMs) (i.e., PM2.5, PM10, and total suspended particles (TSP)). Samples were collected from Baoding, a typical medium-sized city with the serious haze pollution in China. The bioavailabilities of As in the samples were estimated based on the fraction results. A large percentage of fine particles were detected in TSP, with the average PM2.5/PM10 and PM10/TSP ratios all above 0.69. The total concentrations of As in PM2.5, PM10, and TSP samples were in the range of 4.5–296.4, 14.1–708.0, and 32.8–798.0 ng m−3, respectively. The mass percentages of As in PM2.5, PM2.5–10, and PM10–100 were calculated; the results indicated that As tended to concentrate in fine particles. PM-bound As mainly presented in the nonspecifically sorbed fraction (F1) during all of the sampling periods. The percentages of F1-As and bioavailability of As were higher in PM2.5, followed by PM10 and TSP. By contrast, the residual fraction (F5-As) contents declined in the order of TSP > PM10 > PM2.5. Significant differences in the speciation and bioavailability of As in different-sized PMs were found, and the influence of particle size on the speciation and bioavailability of As in PMs was verified. Fine particles adsorbed more As with higher bioavailability, and potentially led to more serious adverse effects on human health than the larger ones.

Keywords

Particulate matter Size distribution Bioavailability Arsenic Sequential extraction 

Notes

Funding information

This study was kindly funded by the National Key R&D Program of China (No. 2018YFB0605101), the National Natural Science Foundation of China (91543107), and the Fundamental Research Funds for the Central Universities (2017ZZD07, 2017XS126).

Supplementary material

11356_2019_6176_MOESM1_ESM.docx (21 kb)
ESM 1 (DOCX 20 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and EngineeringNorth China Electric Power UniversityBaodingPeople’s Republic of China
  2. 2.MOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijingPeople’s Republic of China

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