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Published March 2020 | Version v1
Journal article

A semi-target analytical method for quantification of OH-PCBs in environmental samples

  • 1. The University of Iowa. Graduate Program in Human Toxicology, Department of Civil and Environmental Engineering, IIHR-Hydroscience and Engineering (United States)
  • 2. The University of Iowa. Department of Occupational and Environmental Health, College of Public Health (United States)

Description

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 = β1 × #Cl^2 + β0) 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.

Additional details

Identifiers

Publishing Information

Journal Title
Environmental Science and Pollution Research International
Journal Volume
27
Journal Issue
9
Journal Page Range
p. 8859-8871
ISSN
0944-1344
CODEN
ESPLEC

Optional Information

Copyright
Copyright (c) 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019