Oak Ridge Associated Universities (ORAU), Environmental Protection Agency National Student Services Contract (EPA NSSC), TN, USA.
U.S. Environmental Protection Agency (US EPA), Office of Research and Development, Center for Public Health and Environmental Assessment (CPHEA), NC, USA.
Environ Res. 2024 Dec 15;263(Pt 1):120081. doi: 10.1016/j.envres.2024.120081. Epub 2024 Sep 28.
Exposure to polychlorinated biphenyls (PCBs) remains a potential human health risk due to their persistence in the environment, despite a global ban on their production. Understanding the composition of PCB mixtures is essential for the application of a mixtures-based approach to assessing health risks of PCB exposure. This work represents the most extensive effort to date to compile and make publicly available the PCB congener profiles for mixtures with toxicological data, providing a foundation for understanding toxicological potency of PCB mixtures in the environment. We searched for published congener profiles across 29 commercial and simulated environmental PCB mixtures, including various Aroclors, Phenoclors, Clophens, and Kanechlors, among others. A total of 117 references containing 401 distinct complete or partial tabularized profiles were found. Aroclor 1254 had the most published profiles, with 79 unique datasets characterizing multiple mixture lots. In contrast, no congener-specific composition data were identified for Fenclors, Clophen C, or Pyralenes. Eighty-seven of the most complete and clearly reported profiles underwent a detailed extraction of the congener data, PCB mixture source, and analytical methods. Challenges encountered during data extraction included congener coelutions, incomplete methods reporting, and inconsistencies in PCB nomenclature. These factors complicate data visualization, comparisons across datasets, and use of the data in subsequent analyses. Where possible, we have converted profiles to the same units and congener numbering convention to allow for easier comparison. The extracted data are publicly available online as interactive visuals and as a downloadable Microsoft Excel® workbook. This dataset provides researchers with an overview of the current PCB mixture profile landscape that can serve as a tool to support efforts to minimize the health impacts of environmental PCB exposure, including the exploration of links between mixture composition and toxicity and the identification of the most efficient and effective remediation strategies at contaminated sites.
多氯联苯 (PCBs) 的暴露仍然是一个潜在的人类健康风险,因为尽管已经在全球范围内禁止生产,但它们仍在环境中持续存在。了解 PCB 混合物的组成对于应用基于混合物的方法来评估 PCB 暴露的健康风险至关重要。这项工作是迄今为止最广泛的努力,旨在编译和公开具有毒理学数据的 PCB 混合物的同系物概况,为了解环境中 PCB 混合物的毒理学效力提供了基础。我们在 29 种商业和模拟环境 PCB 混合物的已发表文献中搜索了同系物概况,包括各种 Aroclors、Phenoclors、Clophens 和 Kanechlors 等。共发现 117 篇参考文献,其中包含 401 个完整或部分表格化的独特数据。Aroclor 1254 拥有最多的发表概况,有 79 个独特的数据集,用于描述多个混合物批次。相比之下,没有 Fenclors、Clophen C 或 Pyralenes 的特定同系物组成数据。在 87 个最完整和明确报告的概况中,我们详细提取了同系物数据、PCB 混合物来源和分析方法。在数据提取过程中遇到的挑战包括同系物共洗脱、不完整的方法报告以及 PCB 命名法的不一致。这些因素使数据可视化、数据集之间的比较以及在后续分析中使用数据变得复杂。在可能的情况下,我们将概况转换为相同的单位和同系物编号约定,以便更容易比较。提取的数据在线上以交互式视觉效果和可下载的 Microsoft Excel®工作簿形式提供。该数据集为研究人员提供了当前 PCB 混合物概况的概述,可作为支持减轻环境 PCB 暴露对健康影响的工具,包括探索混合物组成与毒性之间的联系以及识别受污染地点最有效和最有效的修复策略。