Piecing Together Pollutant Profiles: Combining High-Resolution MS From Multiple Ionization Modes With Multidimensional GC for Petroleum Forensics and Environmental Analyses
Posters | 2024 | LECOInstrumentation
Advances in detailed identification of complex mixtures are critical for assessing environmental exposure and source tracing in petroleum and pollutant analysis. Comprehensive two dimensional gas chromatography combined with high resolution time of flight mass spectrometry in multiple ionization modes addresses challenges in resolution deconvolution and confident assignment of biomarkers and halogenated pollutants.
This study aims to develop a unified analytical workflow for petroleum forensics and environmental monitoring. Specific goals include identifying hopane sterane biomarkers for oil source tracing and detecting persistent organic pollutants such as dibenzothiophenes and polychlorinated biphenyl congeners using targeted and nontargeted screening.
The methodology integrates comprehensive two dimensional gas chromatography with a Pegasus HRT4D high resolution time of flight mass spectrometer equipped with a multi mode ionization source. Electron ionization chemical ionization and electron capture negative ionization are applied sequentially without hardware changes. Data processing employs peak finding deconvolution scaled mass defect plots library matching and isotopic fidelity criteria to assign molecular formulas and classify compound families.
Enhanced chromatographic separation reduces spectral overlap enabling accurate deconvolution of complex matrices. EI spectra matched to commercial libraries yield initial identifications while PCI and ECNI confirm molecular ions and heteroatom content. Scaled mass defect plots target homologous series of dibenzothiophenes PCB congeners and hopane series. Examples include confident identification of trans nonachlor and 1 Methyldecahydronaphthalene with high spectral similarity and isotopic fidelity. Regions of interest for hopanes and steranes are visualized in extracted ion chromatograms facilitating biomarker profiling.
The workflow provides a streamlined platform for both targeted and nontargeted pollutant profiling in petroleum and environmental samples. Key advantages include single instrument operation without ion source switching improved identification confidence for low level halogenated species and rapid visualization of compound classes. This supports forensic source attribution environmental risk assessment and quality control in industrial laboratories.
Emerging developments include integration of machine learning for automated feature annotation expansion of suspect screening libraries and coupling with ion mobility for additional separation dimension. Cloud based data platforms will enhance collaborative interpretation and real time monitoring applications are expected in field deployable formats. Advanced heteroatom filters and deeper mass defect analytics will further refine pollutant source fingerprinting.
The combined use of multidimensional chromatography and multimode high resolution mass spectrometry delivers a powerful approach for comprehensive pollutant profiling. The unified workflow improves chromatographic resolution deconvolution accuracy and confidence in molecular assignments across diverse compound classes enabling robust petroleum forensic investigations and environmental pollutant analyses.
GCxGC, GC/MSD, GC/TOF
IndustriesEnergy & Chemicals , Environmental
ManufacturerLECO
Summary
Significance of the Topic
Advances in detailed identification of complex mixtures are critical for assessing environmental exposure and source tracing in petroleum and pollutant analysis. Comprehensive two dimensional gas chromatography combined with high resolution time of flight mass spectrometry in multiple ionization modes addresses challenges in resolution deconvolution and confident assignment of biomarkers and halogenated pollutants.
Objectives and Study Overview
This study aims to develop a unified analytical workflow for petroleum forensics and environmental monitoring. Specific goals include identifying hopane sterane biomarkers for oil source tracing and detecting persistent organic pollutants such as dibenzothiophenes and polychlorinated biphenyl congeners using targeted and nontargeted screening.
Methodology and Instrumentation
The methodology integrates comprehensive two dimensional gas chromatography with a Pegasus HRT4D high resolution time of flight mass spectrometer equipped with a multi mode ionization source. Electron ionization chemical ionization and electron capture negative ionization are applied sequentially without hardware changes. Data processing employs peak finding deconvolution scaled mass defect plots library matching and isotopic fidelity criteria to assign molecular formulas and classify compound families.
Main Results and Discussion
Enhanced chromatographic separation reduces spectral overlap enabling accurate deconvolution of complex matrices. EI spectra matched to commercial libraries yield initial identifications while PCI and ECNI confirm molecular ions and heteroatom content. Scaled mass defect plots target homologous series of dibenzothiophenes PCB congeners and hopane series. Examples include confident identification of trans nonachlor and 1 Methyldecahydronaphthalene with high spectral similarity and isotopic fidelity. Regions of interest for hopanes and steranes are visualized in extracted ion chromatograms facilitating biomarker profiling.
Practical Benefits and Applications
The workflow provides a streamlined platform for both targeted and nontargeted pollutant profiling in petroleum and environmental samples. Key advantages include single instrument operation without ion source switching improved identification confidence for low level halogenated species and rapid visualization of compound classes. This supports forensic source attribution environmental risk assessment and quality control in industrial laboratories.
Future Trends and Opportunities
Emerging developments include integration of machine learning for automated feature annotation expansion of suspect screening libraries and coupling with ion mobility for additional separation dimension. Cloud based data platforms will enhance collaborative interpretation and real time monitoring applications are expected in field deployable formats. Advanced heteroatom filters and deeper mass defect analytics will further refine pollutant source fingerprinting.
Conclusion
The combined use of multidimensional chromatography and multimode high resolution mass spectrometry delivers a powerful approach for comprehensive pollutant profiling. The unified workflow improves chromatographic resolution deconvolution accuracy and confidence in molecular assignments across diverse compound classes enabling robust petroleum forensic investigations and environmental pollutant analyses.
Reference
- Christina Kelly Joe Binkley John Hayes Piecing Together Pollutant Profiles Combining High Resolution MS From Multiple Ionization Modes With Multidimensional GC for Petroleum Forensics and Environmental Analyses LECO Corporation
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Characterization and Quantitative Hydrocarbon Group-Type Analysis of Plastic-Derived Pyrolysis Oils by GCxGC-TOFMS/FID
2024|LECO|Presentations
Characterization and Quantitative Hydrocarbon Group-Type Analysis of Plastic-Derived Pyrolysis Oils by GCxGC-TOFMS/FID 15th Multidimensional Chromatography Workshop January 2024 Pyrolysis Oils Characterization Workflow GCxGC Options Group-Type Analysis Tile-Based Statistics https://www.sciencedirect.com/science/article/pii/S2451904921000342 Heteroatomic Species Identification GCxGC Options Plastic-Derived Pyrolysis Oil Samples 1 2…
Key words
gcxgc, gcxgcheteroatomic, heteroatomicoptions, optionsmass, masspyrolysis, pyrolysisstructured, structuredspecies, speciesgroup, grouptile, tilenominal, nominallay, layoils, oilstype, typefid, fidgenerate
Advanced Data Visualization: The Many Dimensions of Petroleomics Using High Resolution Gas Chromatography and Time-of-Flight Mass Spectrometry
2017|LECO|Posters
Advanced Data Visualization: The Many Dimensions of Petroleomics Using High Resolution Gas Chromatography and Time-of-Flight Mass Spectrometry Christina N. Kelly; Joseph E. Binkley; Lorne M. Fell | LECO Corporation, Saint Joseph, MI 49085 Composite Spectral Information 0.02 57.0698 71.0854 31P…
Key words
splitsplit, splitsplitregion, regionsample, samplevenezuelan, venezuelantriaromatics, triaromaticsdiaromatics, diaromaticsmass, massmonoaromatics, monoaromaticsrdbe, rdbehopanes, hopanesgcxgc, gcxgcstructure, structurespectral, spectralparaffins, paraffinschromatogram
Non-Targeted Analysis of Complex Environmental Samples Using Thermal Desorption, Multidimensional Gas Chromatography, Multi-Mode Ionization Methods, and High-Resolution Time-of-Flight Mass Spectrometry
2024|Agilent Technologies|Posters
Non-Targeted Analysis of Complex Environmental Samples Using Thermal Desorption, Multidimensional Gas Chromatography, Multi-Mode Ionization Methods, and High-Resolution Time-of-Flight Mass Spectrometry David E. Alonso, John Hayes, Liz Humston-Fulmer, and Joseph E. Binkley | LECO Corporation, Saint Joseph, Michigan, USA High-Resolution Time-of-Flight…
Key words
hrt, hrtcontour, contourdiisocyanate, diisocyanatestyrene, styrenecaprolactam, caprolactamplot, plotcomplex, complexmonitoring, monitoringdimer, dimerdiphenyl, diphenylcomparisons, comparisonsdiisocyante, diisocyantexicp, xicpthousands, thousandsharmful
Post-Target Analysis of Halogenated Flame Retardants Using Mass Defect Plots
2014|Agilent Technologies|Posters
Post-Target Analysis of Halogenated Flame Retardants Using Mass Defect Plots Jonathan D. Byer1, Grazina Pacepavicius2, Mehran Alaee2, Karl Jobst3, and Joe Binkley1 Corporation, St Joseph, MI, USA; 2Environment Canada, Burlington, ON, Canada; 3Ontario Ministry of the Environment, 125 Resources Rd,…
Key words
defect, defectmass, massscaled, scaledeel, eelhalogenated, halogenatedconundrum, conundrumjuvenille, juvenillenonachlorodiphenyl, nonachlorodiphenylpcdes, pcdespchbs, pchbspcts, pctsphotomirex, photomirexplots, plotstool, toolsmd