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Post-Target Analysis of Halogenated Flame Retardants Using Mass Defect Plots

Posters | 2014 | LECOInstrumentation
GC/MSD, GC/HRMS, GC/TOF
Industries
Environmental
Manufacturer
Agilent Technologies, LECO

Summary

Importance of the Topic


Non-target screening of halogenated contaminants addresses a key challenge in environmental analysis: discovering unexpected compounds that may affect wildlife and human health. Time-of-flight high-resolution mass spectrometry (TOF-HRMS) combined with mass defect plotting provides a powerful approach to filter complex data and reveal halogen-bearing species in biological matrices.

Objectives and Study Overview


This work aimed to demonstrate the application of chlorine–hydrogen (Cl–H) mass defect plots for non-target identification of halogenated flame retardants and pesticides in American eel (Anguilla rostrata) tissues. Lake Ontario eels serve as sentinel species, and pooled extracts were analyzed to discover both legacy and previously unreported organohalogen compounds.

Methodology and Instrumentation


Sample Preparation and Acquisition:
  • Ten adult American eels collected from eastern Lake Ontario (2008) were extracted and pooled.
  • One microliter of extract was injected on a LECO Pegasus GC-HRT (EI, 36 eV) coupled to a 7890 GC with multi-mode inlet and Restek Rxi-5MS capillary column.
  • Oven program: 90 °C (2.4 min) to 320 °C at 8.5 °C/min, hold 15 min.
  • TOF-MS parameters: m/z 35–850, 6 spectra/s acquisition rate.

Data Processing:
  • ChromaTOF-HRT software with high-resolution deconvolution for peak finding.
  • Cl–H mass defect calculated by scaling exact masses (scaling factor = 34/33.960479) and subtracting nominal values.

Main Results and Discussion


Mass defect plots effectively separated halogenated ions from siloxanes, hydrocarbons, and background signals. Over 900 peaks were deconvoluted, and filtering by precise Cl–H defects and isotopic spacing (37Cl–35Cl, 81Br–79Br) highlighted clusters of halogenated species. Identified compounds include:
  • Legacy pollutants: PCBs, PBDEs, PCDEs, polychlorinated pesticides (dieldrin, DDT, mirex, HCB).
  • Breakdown products and metabolites: DDD, DDE, methoxy nonachlorodiphenyl ether.
  • Novel analogues such as Dechlorane 604 derivatives in eel tissue.

Mass defect mapping and extracted ion chromatograms validated the presence of unknown halogenated compounds via retention time alignment and library matching.

Benefits and Practical Applications


This mass defect approach provides a rapid screening tool for environmental laboratories to:
  • Distinguish halogenated contaminants in complex matrices.
  • Discover previously unmonitored organohalogens without targeted standards.
  • Guide follow-up identification via accurate mass and library searches.

Future Trends and Opportunities


Advances may include:
  • Extension of mass defect plotting to other heteroatoms (Br, S, P, F).
  • Automated workflows integrating multivariate statistics and suspect lists.
  • Fingerprinting methods for rapid sample comparison and source attribution.
  • Development of comprehensive non-target spectral libraries for environmental screening.

Conclusion


Cl–H mass defect plots coupled with high-resolution TOF-MS offer an efficient proof-of-concept workflow for non-target identification of halogenated flame retardants and pesticides in complex biological matrices. The technique successfully detected both known and novel organohalogens, expanding the analytical toolbox for environmental monitoring.

Reference


  1. Sleno L. J Mass Spectrom. 2012;47(2):226–236.
  2. Taguchi VY et al. J Am Soc Mass Spectrom. 2010;21(11):1918–1921.
  3. Jobst KJ et al. Anal Bioanal Chem. 2013;405:3289–3297.
  4. Byer JD et al. Chemosphere. 2013;90(5):1719–1728.

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