Files and links (2)
Data files, R script, and manual to generate quadratic model from R script. CC BY-NC V4.0, Open Access
Dataset
Dataset for a semi-target analytical method for quantification of OH-PCBs in environmental samples
University of Iowa
05/29/2019
DOI: 10.25820/036e-b439
Abstract
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) coupled with triple quadrupole (QqQ) mass spectrometry (MS) system, with positive electron impact (EI) ionization at 20 Ð 70 eV in selected ion monitoring (SIM) mode. We found correlations between the relative peak responses (RRFs) and the number of chlorines in the molecules of MeO-PCBs (#Cl). Among the studied models, the quadratic regression of #Cl is the most suitable model in the RRF prediction (RRF = B1^#Cl^2 + B0) when the peak responses are captured at 30 eV. We further demonstrate in 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. The data used in the study is in this dataset. We also provide an R-script to generate the predictive quadratic model and its manual for future study.
Details
- Title: Subtitle
- Dataset for a semi-target analytical method for quantification of OH-PCBs in environmental samples
- Creators
- Panithi SaktrakulklaRam C Dhakal - University of Iowa, Occupational and Environmental HealthHans-Joachim Lehmler - University of IowaKeri C. Hornbuckle - University of Iowa
- Resource Type
- Dataset
- Resource Sub-type
- Data and R-Script
- Publisher
- University of Iowa
- DOI
- 10.25820/036e-b439
- Copyright
- Copyright © 2019 Panithi Saktrakulkla, Ram C. Dhahkal, Hans-Joachim Lehmler, and Keri C. Hornbuckle
- Grants
- Superfund Hazardous Substance Research and Training Program (P42 Clinical Trial Optional), RFA-ES-18-002 , National Institutes of Health (United States, Bethesda) - NIH
- Language
- English
- Date collected
- 08/02/2018 - 05/09/2019
- Date published
- 05/29/2019
- Academic Unit
- Civil and Environmental Engineering; Iowa Superfund Research Program; Occupational and Environmental Health
- Record Identifier
- 9983557657202771
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