GC-APCI-QTOF MS for Detection of PCBs and PCDDs: Classic innovation to meet today's trace detection and target quantitation requirements

Applications | 2020 | BrukerInstrumentation
GC/API/MS, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
Industries
Environmental, Food & Agriculture
Manufacturer
Bruker

Summary

Importance of the topic


The reliable detection and quantitation of dioxin-like polychlorinated biphenyls (PCBs) and polychlorinated dibenzo-p-dioxins/furans (PCDDs/PCDFs) at trace levels is critical for environmental monitoring, food safety, and regulatory compliance. These persistent organic pollutants pose serious health risks due to their toxicity and bioaccumulation. Modern analytical workflows demand both high sensitivity to detect low-abundance compounds and high resolution for unambiguous identification in complex matrices.

Objectives and Study Overview


This work evaluates a GC-APCI-QTOF MS workflow for the simultaneous screening and quantitation of targeted PCBs and PCDDs/PCDFs according to US EPA Method 1613B. The study demonstrates analytical performance in both standard solutions and fish tissue extracts to meet regulatory requirements.

Methodology and Instrumentation


The analytical protocol combines gas chromatography with atmospheric pressure chemical ionization and a quadrupole time-of-flight mass spectrometer:
  • Sample Preparation: Pressurized fluid extraction of fish tissue spiked with labelled standards.
  • Chromatography: Bruker 436 GC equipped with a 60 m × 0.25 mm BR-Dioxin2 column and temperature programming optimized for PCBs and PCDDs/PCDFs.
  • Ionization: APCI operated in “dry” and dopant-enriched modes to generate molecular ions (M•+ and [M+H]+) with minimal fragmentation.
  • Mass Spectrometry: Bruker impact II UHR QTOF MS in alternating full scan and data-dependent MS/MS modes at high resolution (>18 000) and mass accuracy to support target confirmation and suspect screening.
  • Data Processing: TASQ software for automated target identification using mass accuracy, retention time, isotopic pattern matching, and qualifier ion detection (MRSQ scoring).

Main Results and Discussion


Calibration curves for all targeted congeners exhibited excellent linearity (R2 > 0.997). Limits of detection reached 50 fg on-column and limits of quantitation 150 fg for representative targets. Recoveries in fish tissue ranged from 98%–115% with precision (RSD) below 13% for all analytes. Mass accuracy was maintained within ±3 mDa, and isotope ratio fidelity met EPA criteria. No carry-over was observed in solvent blanks. The soft ionization of APCI preserved molecular ions, enabling simplified MS/MS fragmentation patterns and robust identification in complex matrices.

Benefits and Practical Applications


  • High Sensitivity: Soft ionization yields intact molecular ions for low-abundance pollutants.
  • High Resolution: QTOF platform provides accurate mass and resolving power to distinguish isobaric interferences.
  • Regulatory Compliance: Meets or exceeds US EPA 1613B performance criteria for dioxins and PCBs.
  • Broad Screening Capability: Capable of retrospective data analysis and suspect screening beyond the initial target list.
  • Rapid Turnaround: APCI source swaps allow fast switching between LC and GC workflows.

Future Trends and Applications


Advances in GC-APCI-QTOF MS will focus on expanding non-targeted screening libraries, integrating high-throughput workflows for environmental and food safety applications, and coupling with automated sample preparation. Continued developments in data-processing algorithms and suspect-screening databases will further enhance the identification of emerging pollutants.

Conclusion


The GC-APCI-QTOF MS workflow delivers a robust, high-sensitivity, and high-resolution solution for the quantitative analysis of dioxin-like PCBs and PCDDs/PCDFs in complex matrices. By preserving molecular ions and providing comprehensive QC scoring, this method supports both targeted quantitation and broad screening applications in compliance with stringent regulatory standards.

References


  • Dzidic I, Carroll DI, Stillwell RN, Horning EC. Comparison of positive ions formed in atmospheric pressure ionization mass spectrometry. Anal Chem. 1976;48:1763–1768.
  • Horning EC, Carroll DI, Dzidic I, et al. Development and use of analytical systems based on mass spectrometry. Clin Chem. 1977;23:13–21.
  • U.S. Environmental Protection Agency. Method 1613B: Tetra-through Octa-Chlorinated Dioxins and Furans by Isotope Dilution HRGC/HRMS. 1994.
  • Cherta L, Portolés T, Pitarch E, et al. Non-target analysis in food packaging using GC-TOF and QTOF MS. Food Chem. 2015;188:301–308.
  • Canellas E, Vera P, Doménech C, et al. Identification of non-intentionally added substances in food packaging by GC-TOFMS. J Chromatogr A. 2012;1235:141–148.
  • Gómez-Pérez ML, Plaza-Bolaños P, Romero-González R, Frenich AG. Evaluation of GC-APCI-MS for pesticide residues in fatty matrices. J Am Soc Mass Spectrom. 2014;25:899–902.
  • Mesihää S, Ketola RA, Pelander A, et al. GC-APCI-QTOFMS library for new psychoactive substances. Anal Bioanal Chem. 2017;409:2007–2013.

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