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Polybrominated Diphenyl Ethers in Air across China: Levels, Compositions, and Gas-Particle Partitioning

机译:中国空气中的多溴联苯醚:含量,组成和气体-颗粒分配

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摘要

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 (∑_(12)PBDEs) 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 ∑_(12)PBDEs, 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 ∑_(12)PBDEs, 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 ℃, 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 (P_L)-based and octanol-air partition coefficient (K_(OA))-based models indicated that PBDEs in air at all sampling sites had not reached equilibrium because the slope values (m_O) in the K_(OA)-based equation and the opposite slope values (m_P) in the P_L-based equation at all 15 sampling sites were less than 1. It also found that both m_O and -m_P 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, ndicating 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 K_(OA)-based and P_L-based equations with temperatures at sampling sites and mole masses for individual PBDE congeners.
机译:从2008年9月至2009年8月,每周使用高容量空气采样器在全国15个站点(11个城市,1个郊区和3个背景/农村)同时采集空气样本。测量了十二个多溴联苯醚(PBDE)同系物(BDE-17,-28,-47,-66,-85,-99,-100,-138,-153,-154,-183和-209)。空气(气相+颗粒相)中的多溴二苯醚总浓度(∑_(12)PBDEs)在11.0-838 pg m〜(-3)范围内,平均值为232±72(平均值±SE)pg m〜( -3)。浓度最高的地点是广州(838±126 pg m〜(-3)),其次是北京(781±107 pg m〜(-3))。 PBDEs水平与城市人口(R = 0.69,P <0.05)和工业总产值(R = 0.87,P <0.001)之间也存在显着的正相关。 BDE-209是主要的同类物,对∑_(12)PBDEs的贡献为64±23%,其次是在所有城市和郊区的BDE-47(8±8%)和-99(6±5%)。然而,在背景/农村地区,BDE-47是主要的同类物,其次是BDE-99,合计占∑_(12)PBDEs的52±21%,而BDE-209仅占11±2%。发现在15个位点的多溴二苯醚显示出主要分布和分馏模式。这项研究生产了700多个成对的气相和颗粒状空气样品,温度范围约为60℃,这为研究单个PBDE同源物的气体颗粒分配提供了一个很好的机会。使用基于过冷液体蒸气压(P_L)和基于辛醇-空气分配系数(K_(OA))的模型对多溴二苯醚的气体颗粒分配分析结果表明,所有采样点的空气中多溴二苯醚均未达到因为在所有15个采样点上,基于K_(OA)的方程式中的斜率值(m_O)和基于P_L的方程式中的相对斜率值(m_P)都小于1,所以也达到了平衡。还发现m_O和-m_P与采样点的年平均温度显着正相关,也与多溴二苯醚同类物的摩尔质量显着正相关,这表明总体趋势是,采样点温度越高,多溴二苯醚同类物的摩尔质量越低是,同类物方法越接近平衡,反之亦然。据我们所知,这是第一个报告基于K_(OA)和基于P_L的方程的斜率值与各个PBDE同系物的采样点温度和摩尔质量的相关性的第一项研究。

著录项

  • 来源
    《Environmental Science & Technology》 |2013年第15期|8978-8984|共7页
  • 作者单位

    International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), College of Environmental Science and Engineering, Dalian Maritime University, Dalian, P. R. China;

    IJRC-PTS, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, P. R. China,School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, P. R. China;

    International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), College of Environmental Science and Engineering, Dalian Maritime University, Dalian, P. R. China;

    IJRC-PTS, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, P. R. China,School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, P. R. China;

    IJRC-PTS, Shanghai Maritime University, Shanghai 201306, P. R. China;

    IJRC-PTS, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, P. R. China,School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, P. R. China;

    IJRC-PTS, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, P. R. China,School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, P. R. China;

    Air Quality Processes Research Section, Environment Canada, Toronto, Ontario, Canada;

    NLET, Science and Technology Branch, Environment Canada, Burlington, Ontario, Canada;

    IJRC-PTS, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, P. R. China,School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, P. R. China,International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), College of Environmental Science and Engineering, Dalian Maritime University, Dalian, P. R. China,IJRC-PTS-NA, Toronto, Ontario M2N 6X9, Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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