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PROBABILISTIC EVALUATION OF CANCER AND NON-CANCER RISK ASSOCIATED WITH EXPOSURE TO BDE 209 IN AUTOMOBILES

机译:概率评估癌症和非癌症风险与机造成的BDE 209相关联

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Polybrominated diphenyl ethers (PBDEs) have historically been added to a variety of consumer products to increase their resistance to fire. Recently, there has been a growing interest in evaluating the levels of PBDEs found in automobiles. Collectively, these reports indicate that (a) concentrations of PBDEs are higher in dust relative to air, and (b) BDE 209 tends to dominate the congener profiles. Given the concerns about the levels of PBDEs in automobiles, the objective of this evaluation was to conduct a human health risk assessment associated with ingestion of BDE 209 from automobile dust in the U.S. Probabilistic techniques were employed to determine central tendency and upper-percentile estimates of theoretical excess cancer risk and non-cancer hazard, as well as to evaluate which parameters had the greatest contribution to variance of the estimates. Results of the probabilistic assessment indicated that for both adults and children, the non-cancer hazard estimates associated with ingestion of BDE 209 in automobiles was far below one, and that theoretical excess cancer risk estimates were also within acceptable risk ranges for both children and adults. The concentration of BDE 209 was the parameter that demonstrated the greatest contribution to variance in the probabilistic assessment. Many uncertainties were identified in this analysis, underlying the importance of obtaining robust data in order to more fully characterize this exposure scenario, as well as evaluate the potential toxicity associated with this exposure route.
机译:多溴二苯醚(PBDES)在历史上被添加到各种消费产品中,以增加他们对火灾的抵抗力。最近,对评估汽车中发现的PBDE的水平日益增长的兴趣日益增长。总的来说,这些报告表明,相对于空气的灰尘中,PBDE的浓度较高,(B)BDE 209倾向于主导Congener曲线。鉴于关于汽车中PBDES水平的担忧,该评估的目的是进行与来自美国概率技术的汽车尘埃的BDE 209摄入相关的人体健康风险评估,以确定中心趋势和高百分位估计理论过量的癌症风险和非癌症危害,以及评估哪些参数对估计的差异具有最大贡献。概率评估结果表明,对于成年人和儿童,与汽车中BDE 209的非癌症危险估计远远低于1,并且理论上过度的癌症风险估计也是儿童和成年人的可接受风险范围内。 BDE 209的浓度是表现出对概率评估方差最大贡献的参数。在该分析中确定了许多不确定因素,以获得稳健数据的重要性,以便更充分地表征该暴露场景,以及评估与该曝光路线相关的潜在毒性。

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