Literature DB >> 30609496

Pulmonary bioaccessibility of trace metals in PM2.5 from different megacities simulated by lung fluid extraction and DGT method.

Xiaosan Luo1, Zhen Zhao2, Jiawen Xie3, Jun Luo4, Yan Chen2, Hongbo Li4, Ling Jin3.   

Abstract

Atmospheric fine particulate matters (PM2.5) pose significant risks to human health through inhalation, especially in the rapidly developing China due to air pollution. The harmful effects of PM2.5 are determined not only by its concentrations and hazardous components from diverse sources, but more by their bioavailable fractions actually absorbed by human body. To accurately estimate the inhalation risks of airborne metals, a physiologically based bioaccessibility method combining Simulated Lung Fluid (SLF) extraction and Diffusive Gradients in Thin-films (DGT) approaches was developed, representing the dissolution of particulate metals into lung fluid and the subsequent lung absorption of free metal cations in solution, respectively. The new method was used to compare the lung bioaccessibility of typical trace metals in PM2.5 from three China megacities (Shanghai and Nanjing in the east, Guangzhou in south) during heavy pollution seasons. Generally, the SLF bioaccessibility (%) simulating the solubility of particulate metals in alveolar lung fluid was in order of Ni > Cd > Mn » Pb, while the succeeding DGT bioaccessibility representing labile metal fractions in solution phase absorbed directly by lung was lower and ranked as Ni ∼ Mn > Cd » Pb, thus Ni and Cd posed relatively higher potential risks owing to their high air pollution level and higher pulmonary bioaccessibility. Due to varied particle sources such as coal combustion and traffic emissions, some airborne metal concentrations (Pb, Ni) showed inconsistent spatial patterns with bulk PM2.5 concentrations, and also varied bioaccessibility in different regions. The framework for PM2.5 pollution risk assessments should be refined by considering both aerosol components and associated pollutants' bioaccessibility.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atmospheric particulate pollution; Diffusive gradients in Thin-films technique; Gamble's solution; Heavy metals; Inhalable bioaccessibility

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Year:  2018        PMID: 30609496     DOI: 10.1016/j.chemosphere.2018.11.079

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  5 in total

1.  Effect of filter extraction solvents on the measurement of the oxidative potential of airborne PM2.5.

Authors:  Maria Chiara Pietrogrande; Dimitri Bacco; Arianna Trentini; Mara Russo
Journal:  Environ Sci Pollut Res Int       Date:  2021-02-09       Impact factor: 4.223

2.  The influence that different urban development models has on PM2.5 elemental and bioaccessible profiles.

Authors:  Gabriela Polezer; Andrea Oliveira; Sanja Potgieter-Vermaak; Ana F L Godoi; Rodrigo A F de Souza; Carlos I Yamamoto; Rita V Andreoli; Adan S Medeiros; Cristine M D Machado; Erickson O Dos Santos; Paulo A de André; Theotonio Pauliquevis; Paulo H N Saldiva; Scot T Martin; Ricardo H M Godoi
Journal:  Sci Rep       Date:  2019-10-16       Impact factor: 4.379

3.  Inhalation Bioaccessibility and Risk Assessment of Metals in PM2.5 Based on a Multiple-Path Particle Dosimetry Model in the Smelting District of Northeast China.

Authors:  Siyu Sun; Na Zheng; Sujing Wang; Yunyang Li; Shengnan Hou; Qirui An; Changcheng Chen; Xiaoqian Li; Yining Ji; Pengyang Li
Journal:  Int J Environ Res Public Health       Date:  2022-07-22       Impact factor: 4.614

4.  Selection of metric for indoor-outdoor source apportionment of metals in PM2.5 : mg/kg versus ng/m3.

Authors:  Pat E Rasmussen; Christine Levesque; Owen Butler; Marc Chénier; H David Gardner
Journal:  Indoor Air       Date:  2021-08-21       Impact factor: 6.554

5.  Spatio-temporal variations and factors of a provincial PM2.5 pollution in eastern China during 2013-2017 by geostatistics.

Authors:  Xue Sun; Xiao-San Luo; Jiangbing Xu; Zhen Zhao; Yan Chen; Lichun Wu; Qi Chen; Dan Zhang
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

  5 in total

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