Quantitation of PAHs in Used Engine Oil Using GCxGC and Time-of-Flight Mass Spectrometry
Applications | 2019 | LECOInstrumentation
Quantifying polycyclic aromatic hydrocarbons (PAHs) in used engine oil provides key insights into engine combustion efficiency and supports environmentally responsible waste disposal. Accurate PAH measurement informs maintenance schedules, regulatory compliance, and environmental risk assessments.
This study demonstrates a robust analytical workflow combining comprehensive two-dimensional gas chromatography (GC×GC) with time-of-flight mass spectrometry (TOFMS) to:
Samples of unused and used SAE 30 engine oils were diluted in toluene and spiked with internal PAH standards. Calibration standards ranged from 5 to 2500 pg/µL. GC×GC separation employed an Rxi-PAH primary column and Rxi-1HT secondary column with a thermal modulator. TOFMS detection covered m/z 45–500 at 200 spectra/s. Data processing utilized target analyte finding and non-target deconvolution in ChromaTOF software with NIST 17 library spectral matching.
Calibration curves for 16 priority PAHs exhibited excellent linearity (R² > 0.995). Among used oils, samples from vehicles driven short trips showed the highest levels of lighter PAHs (naphthalene, methylnaphthalenes). GC×GC significantly improved peak resolution, enabling correct identification of co-eluting compounds that would be misassigned in one-dimensional GC. Alkylated phenanthrene isomers (C0–C3) were resolved and matched to library spectra with high confidence. The method also detected heteroatom-containing compounds such as benzo[b]thiophene and tetrahydro-phenanthrenol derivatives.
This approach offers:
Advancements may include integration with high-resolution accurate mass spectrometry for ultra-trace detection, expanded non-targeted screening workflows, and application to other complex matrices such as environmental soils or industrial effluents. Machine learning-driven deconvolution and library matching could further automate identification of emerging contaminants.
The GC×GC-TOFMS method on the LECO Pegasus BT 4D delivers robust, sensitive quantitation of PAHs in complex used engine oils. Improved chromatographic resolution and mass precision enable reliable detection of regulated compounds and insights into combustion by-products.
No external references provided in the original application note.
GCxGC, GC/MSD, GC/TOF
IndustriesEnergy & Chemicals
ManufacturerLECO
Summary
Significance of the Topic
Quantifying polycyclic aromatic hydrocarbons (PAHs) in used engine oil provides key insights into engine combustion efficiency and supports environmentally responsible waste disposal. Accurate PAH measurement informs maintenance schedules, regulatory compliance, and environmental risk assessments.
Objectives and Study Overview
This study demonstrates a robust analytical workflow combining comprehensive two-dimensional gas chromatography (GC×GC) with time-of-flight mass spectrometry (TOFMS) to:
- Develop calibration for a standard PAH mixture across a broad concentration range.
- Apply the method to engine oils collected from vehicles subjected to short, medium, and long driving distances.
- Evaluate the presence of parent and alkylated PAHs and assess matrix interference removal.
Methodology and Instrumentation
Samples of unused and used SAE 30 engine oils were diluted in toluene and spiked with internal PAH standards. Calibration standards ranged from 5 to 2500 pg/µL. GC×GC separation employed an Rxi-PAH primary column and Rxi-1HT secondary column with a thermal modulator. TOFMS detection covered m/z 45–500 at 200 spectra/s. Data processing utilized target analyte finding and non-target deconvolution in ChromaTOF software with NIST 17 library spectral matching.
Used Instrumentation
- GC×GC Module: LECO GC×GC Quad Jet Thermal Modulator & L-PAL 3 Autosampler
- GC Columns: Rxi-PAH (60 m × 0.25 mm × 0.10 µm) and Rxi-1HT (0.6 m × 0.25 mm × 0.10 µm)
- Mass Spectrometer: LECO Pegasus BT 4D TOFMS (Ion source at 300 °C, transfer line at 350 °C)
Key Results and Discussion
Calibration curves for 16 priority PAHs exhibited excellent linearity (R² > 0.995). Among used oils, samples from vehicles driven short trips showed the highest levels of lighter PAHs (naphthalene, methylnaphthalenes). GC×GC significantly improved peak resolution, enabling correct identification of co-eluting compounds that would be misassigned in one-dimensional GC. Alkylated phenanthrene isomers (C0–C3) were resolved and matched to library spectra with high confidence. The method also detected heteroatom-containing compounds such as benzo[b]thiophene and tetrahydro-phenanthrenol derivatives.
Benefits and Practical Applications
This approach offers:
- Enhanced separation of PAHs from hydrocarbon matrix interferences.
- High throughput quantitation with minimal peak tailing and superior reproducibility.
- Comprehensive profiling including parent, alkylated, and heteroatomic aromatics.
- Actionable data for engine diagnostics, lubricant formulation, and waste management policies.
Future Trends and Applications
Advancements may include integration with high-resolution accurate mass spectrometry for ultra-trace detection, expanded non-targeted screening workflows, and application to other complex matrices such as environmental soils or industrial effluents. Machine learning-driven deconvolution and library matching could further automate identification of emerging contaminants.
Conclusion
The GC×GC-TOFMS method on the LECO Pegasus BT 4D delivers robust, sensitive quantitation of PAHs in complex used engine oils. Improved chromatographic resolution and mass precision enable reliable detection of regulated compounds and insights into combustion by-products.
References
No external references provided in the original application note.
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