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利用HazDat数据库制定1188个危险废物场地中出现的化学混合物优先清单。

Development of a priority list of chemical mixtures occurring at 1188 hazardous waste sites, using the HazDat database.

作者信息

Fay R M, Mumtaz M M

机构信息

Division of Toxicology, Public Health Service, US Dept of Health and Human Services, Atlanta, GA 30333, USA.

出版信息

Food Chem Toxicol. 1996 Nov-Dec;34(11-12):1163-5. doi: 10.1016/s0278-6915(97)00090-2.

DOI:10.1016/s0278-6915(97)00090-2
PMID:9119332
Abstract

Under the Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA or Superfund) section 104 mandate, as amended by the Superfund Amendments and Reauthorization Act (SARA) of 1986 USC 9604 (i)(2), the Agency for Toxic Substances and Disease Registry (ATSDR) is to identify individual substances and combinations of substances that pose the greatest public health hazard at hazardous waste sites. This has led to certain mandated activities of the Agency, including development of toxicological profiles, identification of data gaps, and, ultimately, establishment of a research agenda. The Agency has also developed HazDat, a database that captures pertinent information from public health assessments conducted at hazardous waste sites. As a preliminary step, data from sites have been analysed to identify the combinations of chemicals found in various environmental media. The most frequently found combinations were perchloroethylene (PERC) and trichloroethylene (TCE) in water (23.5% of sites); chromium (Cr) and lead (Pb) in soil (20.5%); benzene and toluene in air (3.5%); PERC, 1,1,1-trichloroethane (1,1,1-TCA) and TCE in water (11.6%); Cr, cadmium (Cd) and Pb in soil (12.0%); and benzene, PERC and TCE in air (2.2%). The findings of this analysis can be enhanced by factoring into the algorithm paramenters such as toxicity, source contribution, and likelihood of human exposure similar to that used for the Agency's priority list of 275 single substances. Assessment of the impact of chemical mixtures on human health is a formidable task, and estimating the toxicity of such mixtures, including the role of chemical interactions, is an equally demanding challenge. Because limited experimental data exist for chemical interactions, alternative methods such as predictive approaches and in vitro techniques are needed to address the many substances and their potential combinations.

摘要

根据经1986年《超级基金修正与再授权法案》(SARA)修订的1980年《综合环境反应、赔偿和责任法》(CERCLA或超级基金)第104条规定(美国法典第9604条(i)(2)),有毒物质和疾病登记署(ATSDR)负责确定在危险废物场地对公众健康危害最大的单一物质和物质组合。这导致了该机构的某些法定活动,包括编制毒理学概况、识别数据缺口,并最终制定研究议程。该机构还开发了HazDat数据库,该数据库收集了在危险废物场地进行的公共卫生评估的相关信息。作为初步步骤,已对各场地的数据进行分析,以确定在各种环境介质中发现的化学物质组合。最常见的组合是水中的全氯乙烯(PERC)和三氯乙烯(TCE)(占场地的23.5%);土壤中的铬(Cr)和铅(Pb)(20.5%);空气中的苯和甲苯(3.5%);水中的PERC、1,1,1-三氯乙烷(1,1,1-TCA)和TCE(11.6%);土壤中的Cr、镉(Cd)和Pb(12.0%);以及空气中的苯、PERC和TCE(2.2%)。通过将毒性、源贡献和人类接触可能性等参数纳入算法,类似于该机构275种单一物质优先清单所使用的参数,可以强化该分析的结果。评估化学混合物对人类健康的影响是一项艰巨的任务,而估计此类混合物的毒性,包括化学相互作用的作用,同样是一项极具挑战性的工作。由于化学相互作用的实验数据有限,需要采用预测方法和体外技术等替代方法来处理众多物质及其潜在组合。

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