Magar Victor S, Johnson Glenn W, Brenner Richard C, Quensen John F, Foote Eric A, Durell Greg, Ickes Jennifer A, Peven-McCarthy Carole
Battelle Memorial Institute, 505 King Avenue, Columbus, Ohio 43201, USA.
Environ Sci Technol. 2005 May 15;39(10):3538-47. doi: 10.1021/es048622y.
Under anaerobic conditions, such as those typically found in buried sediments, the primary metabolic pathway for polychlorinated biphenyls (PCBs) is reductive dechlorination in which chlorine removal and substitution with hydrogen by bacteria result in a reduced organic compound with fewer chlorines. Vertical sediment cores were collected from Lake Hartwell (Pickens County, SC) and analyzed in 5-cm intervals for 107 PCB congeners in a total of more than 280 samples from 18 sediment cores and surface samples. This paper reports on extensive PCB dechlorination measured in Lake Hartwell sediments and the characterization of dechlorination end-member (EM) patterns using chemical forensic methods. PCB congener fingerprinting and a multivariate receptor modeling method, polytopic vector analysis (PVA), were used for identification and characterization of weathered and dechlorinated PCB congener patterns. Dechlorination resulted in a substantial shift in buried sediments from tetra- through decachlorobiphenyl congeners to mono- through trichlorobiphenyl congeners. Mono- through trichlorobiphenyls comprised approximately 80% of the PCBs in buried sediments that underwent maximum dechlorination as compared to approximately 20% in surface sediments. The major concentration decreases were seen in the tetra- through hexachlorobiphenyl homologues, which accounted for over 90% of the dechlorination. Octa- through decachlorobiphenyl congeners also were dechlorinated, but their overall contribution to dechlorination was relatively small due to their low initial concentrations (< 5%). The net accumulation of 2-CB, 2,2'/2,6-DCBs, 2,4'-DCB, 2,2',4-TCB, and 2,2',6-TCB at Lake Hartwell matched characteristic PCB dechlorination products reported in the literature, such as those for Processes M, Q, and C; and the persistence of tetrachlorobiphenyls (TeCBs) that contained 24- and 25-congener groups resembled dechlorination Processes H or H'. Although dechlorination tended to be very extensive in most of the cores, it was not always consistent from core to core or at various depth intervals within a single core. The reason for this variability in dechlorination extent could not be determined from the existing data and did not appear to correlate with such factors as PCB concentration, total organic carbon, or age. The authors used fingerprinting analysis and a PVA multivariate receptor model as exploratory data analysis tools to characterize PCB sources and their alteration patterns. Dominant sources and alteration patterns were determined in this large data set by comparing PVA EM patterns with known source patterns (i.e., Aroclors or Aroclor mixtures) and literature-reported alteration patterns. PVA also afforded an opportunity to characterize the vertical and lateral distributions of the weathered and unweathered PCB source patterns and dechlorination patterns, a task that would have been much more difficult to accomplish through comparison of chromatograms alone.
在厌氧条件下,比如在埋藏沉积物中常见的那种环境,多氯联苯(PCBs)的主要代谢途径是还原脱氯,即细菌去除氯并以氢取代,从而产生含氯量减少的有机化合物。从哈特韦尔湖(南卡罗来纳州皮肯斯县)采集了垂直沉积物岩芯,并以5厘米的间隔对18个沉积物岩芯和表层样品中的总共280多个样品进行了107种多氯联苯同系物的分析。本文报告了在哈特韦尔湖沉积物中测得的大量多氯联苯脱氯情况,以及使用化学鉴识方法对脱氯终态(EM)模式的特征描述。多氯联苯同系物指纹识别和一种多变量受体建模方法——多拓扑向量分析(PVA),被用于识别和表征风化及脱氯的多氯联苯同系物模式。脱氯导致埋藏沉积物中的四氯至十氯联苯同系物大幅转变为一氯至三氯联苯同系物。与表层沉积物中约20%的比例相比,一氯至三氯联苯在经历最大程度脱氯的埋藏沉积物中约占多氯联苯的80%。主要的浓度下降出现在四氯至六氯联苯同系物中,它们占脱氯量的90%以上。八氯至十氯联苯同系物也发生了脱氯,但由于其初始浓度较低(<5%),它们对脱氯的总体贡献相对较小。哈特韦尔湖2-CB、2,2'/2,6-DCBs、2,4'-DCB、2,2',4-TCB和2,2',6-TCB的净积累量与文献中报道的特征性多氯联苯脱氯产物相符,比如过程M、Q和C的产物;而含有24-和25-同系物组的四氯联苯(TeCBs)的持久性类似于脱氯过程H或H'。尽管在大多数岩芯中脱氯往往非常广泛,但在不同岩芯之间或单个岩芯内的不同深度间隔处并不总是一致的。脱氯程度这种变异性的原因无法从现有数据中确定,而且似乎与多氯联苯浓度、总有机碳或年代等因素无关。作者使用指纹识别分析和PVA多变量受体模型作为探索性数据分析工具来表征多氯联苯来源及其变化模式。通过将PVA EM模式与已知来源模式(即艾氏剂或艾氏剂混合物)以及文献报道的变化模式进行比较,在这个大数据集中确定了主要来源和变化模式。PVA还提供了一个机会来表征风化和未风化的多氯联苯来源模式及脱氯模式的垂直和横向分布,而仅通过比较色谱图来完成这项任务要困难得多。