Literature DB >> 21397393

Assessment of carcinogenic risk due to inhalation of polycyclic aromatic hydrocarbons in PM10 from an industrial city: a Korean case-study.

Van-Tuan Vu1, Byeong-Kyu Lee, Ji-Tae Kim, Chi-Hyeon Lee, Ick-Hyun Kim.   

Abstract

This study investigated the effects of meteorological conditions and spatial variations on the toxicity of polycyclic aromatic hydrocarbons (PAHs) in airborne PM(10) in Ulsan, the largest industrial city in Korea. Daily PM(10) samples were collected on quartz microfiber filters using high volume samplers located in a downtown area, a residential area and an industrial area of Ulsan during spring and summer sampling periods. Sixteen individual PAHs were extracted into a mixture solution of dichloromethane and n-hexane (1:1, v/v) in an ultrasonic bath and were analyzed using a high performance liquid chromatography system with an ultra-violet detector (HPLC-UVD). The average total PAH concentrations from the three representative sampling sites of Ulsan ranged from 16.15 to 57.12 ng/m(3) in spring and from 11.11 to 34.56 ng/m(3) in summer. The toxicity equivalent concentrations (TEQs) of the PAHs in PM(10) of Ulsan ranged from 1.82 to 13.1 ng/m(3), with an average level of 4.17 ng/m(3). The highest TEQs were found in the downtown area, which had an average value of 6.30 ng/m(3) in spring and 5.52 ng/m(3) in summer. BaP and DahA were identified as the major carcinogenic PAHs that contributed to 34.8 and 59.4% of the total carcinogenic potency of PAHs in PM(10) in Ulsan. The identified TEQs were highly correlated (r(2) = 0.73-0.90, p<0.01) with the total PAH concentrations for each area. The TEQs showed a significant correlation (p < 0.01) with the concentration of air pollutants, including PM(10), PM(2.5) and NO(2).
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21397393     DOI: 10.1016/j.jhazmat.2011.02.043

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  7 in total

1.  Source apportionment of the carcinogenic potential of polycyclic aromatic hydrocarbons (PAH) associated to airborne PM10 by a PMF model.

Authors:  M S Callén; A Iturmendi; J M López; A M Mastral
Journal:  Environ Sci Pollut Res Int       Date:  2014-02       Impact factor: 4.223

2.  Lung cancer risk by polycyclic aromatic hydrocarbons in a Mediterranean industrialized area.

Authors:  Anna Cuadras; Enric Rovira; Rosa Maria Marcé; Francesc Borrull
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-07       Impact factor: 4.223

3.  Contamination of Scots pine forests with polycyclic aromatic hydrocarbons on the territory of industrial city of Siberia, Russia.

Authors:  Olga Vladimirovna Kalugina; Tatiana Alekseevna Mikhailova; Olga Vladimirovna Shergina
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-17       Impact factor: 4.223

4.  Distribution, sources, and risks of polycyclic aromatic hydrocarbons in the surface sediments from 28 lakes in the middle and lower reaches of the Yangtze River region, China.

Authors:  Shanying Li; Yuqiang Tao; Shuchun Yao; Bin Xue
Journal:  Environ Sci Pollut Res Int       Date:  2015-11-06       Impact factor: 4.223

Review 5.  Systematic Review and Meta-Analysis of Human Skin Diseases Due to Particulate Matter.

Authors:  Le Thi Nhu Ngoc; Duckshin Park; Yongil Lee; Young-Chul Lee
Journal:  Int J Environ Res Public Health       Date:  2017-11-25       Impact factor: 3.390

6.  Characterization and health risk assessment of PM2.5-bound polycyclic aromatic hydrocarbons in 5 urban cities of Zhejiang Province, China.

Authors:  Zhe Mo; Zhifang Wang; Guangming Mao; Xuejiao Pan; Lizhi Wu; Peiwei Xu; Shuchang Chen; Aihong Wang; Yongli Zhang; Jinbin Luo; Xialiang Ye; Xiaofeng Wang; Zhijian Chen; Xiaoming Lou
Journal:  Sci Rep       Date:  2019-05-13       Impact factor: 4.379

7.  Predicting the total PAHs concentrations in sediments from selected congeners using a multiple linear relationship.

Authors:  Weiwei Wang; Huaping Xu; Xiaolei Qu; Kun Yang; Daohui Lin
Journal:  Sci Rep       Date:  2022-02-28       Impact factor: 4.996

  7 in total

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