U.S. Geological Survey, 425 Jordan Road, Troy, NY 12180, USA.
Sci Total Environ. 2010 Jan 1;408(3):594-606. doi: 10.1016/j.scitotenv.2009.09.052. Epub 2009 Nov 10.
Mixtures of organochlorine compounds have the potential for additive or interactive toxicity to organisms exposed in the stream. This study uses a variety of methods to identify mixtures and a modified concentration-addition approach to estimate their potential toxicity at 845 stream sites across the United States sampled between 1992 and 2001 for organochlorine pesticides and polychlorinated biphenyls (PCBs) in bed sediment. Principal-component (PC) analysis identified five PCs that account for 77% of the total variance in 14 organochlorine compounds in the original dataset. The five PCs represent: (1) chlordane-related compounds and dieldrin; (2) p,p'-DDT and its degradates; (3) o,p'-DDT and its degradates; (4) the pesticide degradates oxychlordane and heptachlor epoxide; and (5) PCBs. The PC analysis grouped compounds that have similar chemical structure (such as parent compound and degradate), common origin (in the same technical pesticide mixture), and(or) similar relation of concentrations to land use. For example, the highest concentrations of chlordane compounds and dieldrin occurred at urban sites, reflecting past use of parent pesticides for termite control. Two approaches to characterizing mixtures--PC-based mixtures and unique mixtures--were applied to all 299 samples with a detection of two or more organochlorine compounds. PC-based mixtures are defined by the presence (in the sample) of one or more compounds associated with that PC. Unique mixtures are defined as a specific combination of two or more compounds detected in a sample, regardless of how many other compounds were also detected in that sample. The simplest PC-based mixtures (containing compounds from 1 or 2 PCs) commonly occurred in a variety of land use settings. Complex mixtures (containing compounds from 3 or more PCs) were most common in samples from urban and mixed/urban sites, especially in the Northeast, reflecting high concentrations of multiple chlordane, dieldrin, DDT-related compounds, and(or) PCBs. The most commonly occurring unique mixture (p,p'-DDE, p,p'-DDD) occurred in both simple and complex PC-based mixtures, and at both urban and agricultural sites. Mean Probable Effect Concentration Quotients (PEC-Q) values, which estimate the potential toxicity of organochlorine contaminant mixtures, were highest for complex mixtures. Mean PEC-Q values were highest for urban sites in the Northeast, followed by mixed/urban sites in the Northeast and agricultural sites in cotton growing areas. These results demonstrate that the PEC-Q approach can be used in combination with PC-based and unique mixture analyses to relate potential aquatic toxicity of contaminant mixtures to mixture complexity, land use, and other surrogates for contaminant sources.
有机氯化合物混合物有可能对溪流中暴露的生物产生附加或交互毒性。本研究使用多种方法来识别混合物,并采用改良的浓度加和法来估计 1992 年至 2001 年间在美国 845 个溪流地点采集的底泥中有机氯农药和多氯联苯(PCBs)的潜在毒性,这些地点的底泥中都含有有机氯化合物。主成分(PC)分析确定了 5 个 PC,它们占原始数据集 14 种有机氯化合物总方差的 77%。这 5 个 PC 代表:(1)氯丹相关化合物和狄氏剂;(2)p,p'-DDT 及其降解产物;(3)o,p'-DDT 及其降解产物;(4)农药降解产物氧氯丹和七氯环氧化物;(5)多氯联苯。PC 分析将具有相似化学结构(如母体化合物和降解产物)、共同来源(同一技术农药混合物中)和(或)浓度与土地利用关系相似的化合物分组。例如,氯丹化合物和狄氏剂的浓度最高出现在城市地区,反映了过去使用母体杀虫剂防治白蚁。对所有 299 个有两种或两种以上有机氯化合物检出的样本应用了两种混合物特征描述方法--基于 PC 的混合物和独特混合物。基于 PC 的混合物是指在样本中存在与该 PC 相关的一种或多种化合物。独特混合物是指在样本中检测到的两种或两种以上化合物的特定组合,而不管在该样本中还检测到多少其他化合物。最常见的基于 PC 的混合物(含有来自 1 个或 2 个 PC 的化合物)通常出现在各种土地利用环境中。复杂混合物(含有来自 3 个或更多 PC 的化合物)在城市和混合/城市地区的样本中最为常见,尤其是在东北部,这反映了高浓度的多种氯丹、狄氏剂、DDT 相关化合物和(或)多氯联苯。最常见的独特混合物(p,p'-DDE、p,p'-DDD)既出现在简单的基于 PC 的混合物中,也出现在复杂的基于 PC 的混合物中,既出现在城市和农业地区的样本中。估计有机氯污染物混合物潜在毒性的平均可能效应浓度商(PEC-Q)值最高的是复杂混合物。PEC-Q 值在东北部的城市地区最高,其次是东北部的混合/城市地区和棉花种植区的农业地区。这些结果表明,PEC-Q 方法可与基于 PC 的和独特混合物分析结合使用,将污染物混合物的潜在水生毒性与混合物复杂性、土地利用以及污染物来源的其他替代物联系起来。