Literature DB >> 23822835

Polybrominated diphenyl ethers in air across China: levels, compositions, and gas-particle partitioning.

Meng Yang1, Hong Qi, Hong-Liang Jia, Nan-Qi Ren, Yong-Sheng Ding, Wan-Li Ma, Li-Yan Liu, Hayley Hung, Ed Sverko, Yi-Fan Li.   

Abstract

Air samples were concurrently collected using high volume air samplers for 24 h every week from September 2008 to August 2009 at 15 sites (11 urban, 1 suburban, and 3 background/rural) across China. Twelve polybrominated diphenyl ether (PBDE) congeners (BDE-17, -28, -47, -66, -85, -99, -100, -138, -153, -154, -183, and -209) were measured. Total PBDE concentrations (∑12PBDEs) in air (gas + particle phases) were in the range of 11.0-838 pg m(-3) with a mean of 232 ± 72 (mean ± SE) pg m(-3). The site with the highest concentration was Guangzhou (838 ± 126 pg m(-3)), followed by Beijing (781 ± 107 pg m(-3)). Significant positive correlations were found between PBDEs levels and urban population (R = 0.69, P < 0.05) and gross industrial output values (R = 0.87, P < 0.001) as well. BDE-209 was the dominating congener with the contribution of 64 ± 23% to ∑12PBDEs, followed by BDE-47(8 ± 8%) and -99(6 ± 5%) at all urban and suburban sites. At background/rural sites, however, BDE-47 was the dominating congener, followed by BDE-99, together accounting for 52 ± 21% of ∑12PBDEs, while BDE-209 was only 11 ± 2%. It was found that PBDEs at the 15 sites showed a primary distribution and fractionation pattern. This study produced more than 700 pairs of air samples in gaseous and particulate phases with a wide temperature range of ∼60 °C, providing a good opportunity to investigate gas-particle partitioning for individual PBDE congeners. The results of gas-particle partitioning analysis for PBDEs using both subcooled-liquid-vapor pressure (PL)-based and octanol-air partition coefficient (KOA)-based models indicated that PBDEs in air at all sampling sites had not reached equilibrium because the slope values (mO) in the KOA-based equation and the opposite slope values (mP) in the PL-based equation at all 15 sampling sites were less than 1. It also found that both mO and -mP were significantly and positively correlated with the annual average temperatures of sampling sites and also significantly and negatively correlated with the mole masses of PBDE congeners, indicating a general trend that the higher the temperature at the sampling site and the lower the mole mass of the PBDE congeners are, the closer to the equilibrium the congeners approach and vice versa. To our knowledge, this is the first study to report the correlations of the slope values for both the KOA-based and PL-based equations with temperatures at sampling sites and mole masses for individual PBDE congeners.

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Year:  2013        PMID: 23822835     DOI: 10.1021/es4022409

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  11 in total

1.  Characterization of the molecular degradation mechanism of diphenyl ethers by Cupriavidus sp. WS.

Authors:  Sheng Wang; Naling Bai; Bing Wang; Zhuo Feng; William C Hutchins; Ching-Hong Yang; Yuhua Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2015-06-25       Impact factor: 4.223

2.  Temporal and spatial distributions of PBDEs in atmosphere at Shanghai rural regions, China.

Authors:  Yun-Juan Zhu; Dan Sun; Nuo-Er Yang; Yong-Sheng Ding; Wei-Bing Feng; Wen-Jun Hong; Shi-Mao Zhu; Yi-Fan Li
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-14       Impact factor: 4.223

3.  Brominated flame retardants and dechlorane plus on a remote high mountain of the eastern Tibetan Plateau: implications for regional sources and environmental behaviors.

Authors:  Xin Liu; Haijian Bing; Yanzhi Chen; Jun Li; Yanhong Wu; Gan Zhang
Journal:  Environ Geochem Health       Date:  2017-04-10       Impact factor: 4.609

4.  Polybrominated diphenyl ethers in the air and comparison of the daily intake and uptake through inhalation by Shanghai residents with those through other matrices and routes.

Authors:  Chunlei Li; Zhishen Zhao; Bingli Lei; Jing An; Xinyu Zhang; Yingxin Yu
Journal:  Environ Sci Pollut Res Int       Date:  2014-07-11       Impact factor: 4.223

5.  Polybrominated diphenyl ethers (PBDEs) in background air around the Aegean: implications for phase partitioning and size distribution.

Authors:  Athanasios Besis; Gerhard Lammel; Petr Kukučka; Constantini Samara; Aysun Sofuoglu; Yetkin Dumanoglu; Kostas Eleftheriadis; Giorgos Kouvarakis; Sait C Sofuoglu; Vassiliki Vassilatou; Dimitra Voutsa
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-09       Impact factor: 4.223

6.  Airborne polybrominated diphenyl ethers (PBDEs), polybrominated dibenzo-p-dioxins/furans (PBDD/Fs), and dechlorane plus (DP) in concentrated vehicle parking areas.

Authors:  Huiru Li; Hehuan Liu; Ligui Mo; Guoying Sheng; Jiamo Fu; Ping'an Peng
Journal:  Environ Sci Pollut Res Int       Date:  2016-02-17       Impact factor: 4.223

7.  Distribution of polybrominated diphenyl ethers in the atmosphere of the Pearl River Delta region, South China.

Authors:  Jiawen Zhang; Jing Zhao; Jing Cai; Xiangying Zeng; Jun Li; Shutao Gao; Zhiqiang Yu
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-16       Impact factor: 4.223

Review 8.  Environmental Characteristics of Polybrominated Diphenyl Ethers in Marine System, with Emphasis on Marine Organisms and Sediments.

Authors:  Ying Zhang; Weiliang Wang; Jinming Song; Zongming Ren; Huamao Yuan; Huijun Yan; Jinpeng Zhang; Zhen Pei; Zhipeng He
Journal:  Biomed Res Int       Date:  2016-11-24       Impact factor: 3.411

9.  Pollution Status and Human Exposure of Decabromodiphenyl Ether (BDE-209) in China.

Authors:  Xiaowen Ji; Jue Ding; Xianchuan Xie; Yu Cheng; Yu Huang; Long Qin; Chao Han
Journal:  ACS Omega       Date:  2017-07-10

10.  Characterization and Source Identification of Polybrominated Diphenyl Ethers (PBDEs) in Air in Xi'an: Based on a Five-Year Study.

Authors:  Lei Ye; Chengzhong Zhang; Deming Han; Zheng Ji
Journal:  Int J Environ Res Public Health       Date:  2019-02-12       Impact factor: 3.390

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