Graduate Program in Human Toxicology, Department of Civil and Environmental Engineering, IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA, 52242, USA.
Department of Occupational and Environmental Health, College of Public Health, The University of Iowa, Iowa City, IA, 52242, USA.
Environ Sci Pollut Res Int. 2020 Mar;27(9):8859-8871. doi: 10.1007/s11356-019-05775-x. Epub 2019 Jul 29.
Hydroxylated polychlorinated biphenyls (OH-PCBs) are oxidative metabolites of PCBs and residuals found in original Aroclors. OH-PCBs are known to play a role as genotoxicants, carcinogens, and hormone disruptors, and therefore it is important to quantify their presence in human tissues, organisms, and environmental matrices. Of 837 possible mono-OH-PCBs congeners, there are only ~ 70 methoxylated PCB (MeO-PCB) standards commercially available. Hence, a semi-target analytical method is needed for unknown OH-PCBs. The mass concentrations of these unknowns are sometimes determined by assuming the peak responses of other available compounds. This can bias the results due to the choices and availabilities of standards. To overcome this issue, we investigated the peak responses of all commercially available MeO-PCB standards with gas chromatography (GC) coupling with triple quadrupole (QqQ) mass spectrometry (MS) system, with positive electron impact (EI) ionization at 20-70 eV in selected ion monitoring (SIM) mode. We found correlations between the relative peak responses (RRFs) and the number of chlorine (#Cl) in the molecules of MeO-PCBs. Among the studied models, the quadratic regression of #Cl is the most suitable model in the RRF prediction (RRF = β × #Cl^ + β) when the peak responses are captured at 30 eV. We evaluated the performance of the model by analyzing 12 synthesized MeO-PCB standards and a PCB-contaminated sediment collected from a wastewater lagoon. We further demonstrate the utility of the model using a different chromatography column and GC-EI-MS system. We found the method and associated model to be sufficiently simple, accurate, and versatile for use in quantifying OH-PCBs in complex environmental samples.
羟基多氯联苯(OH-PCBs)是多氯联苯的氧化代谢物和原始 Aroclor 中的残留物。OH-PCBs 已知具有遗传毒性、致癌性和激素干扰作用,因此定量测定其在人体组织、生物和环境基质中的存在非常重要。在 837 种可能的单-OH-PCBs 同系物中,只有约 70 种甲氧基化多氯联苯(MeO-PCB)标准品可商购获得。因此,需要一种半靶向分析方法来测定未知的 OH-PCBs。这些未知物的质量浓度有时通过假设其他可用化合物的峰响应来确定。由于标准品的选择和可用性,这可能会导致结果产生偏差。为了克服这个问题,我们使用气相色谱(GC)与三重四极杆(QqQ)质谱(MS)联用,在正电子轰击(EI)电离下,在选择离子监测(SIM)模式下,在 20-70 eV 的范围内,研究了所有市售 MeO-PCB 标准品的峰响应,以研究所有市售 MeO-PCB 标准品的峰响应。我们发现 MeO-PCB 分子中的相对峰响应(RRF)与氯原子数(#Cl)之间存在相关性。在所研究的模型中,当在 30 eV 下捕获峰响应时,#Cl 的二次回归是 RRF 预测(RRF = β × #Cl^ + β)最适合的模型。我们通过分析 12 种合成 MeO-PCB 标准品和从废水塘采集的 PCB 污染沉积物来评估模型的性能。我们进一步使用不同的色谱柱和 GC-EI-MS 系统展示了该模型的实用性。我们发现该方法和相关模型足够简单、准确和通用,可用于定量测定复杂环境样品中的 OH-PCBs。