Developing a New GC×GC-TOFMS Method for Quantitation of Biofuel Components in Jet Fuel
Posters | 2019 | LECOInstrumentation
The integration of renewable biofuels into aviation fuel supplies reduces carbon footprint but introduces risks such as pipeline cross-contamination and altered freeze-point behavior. Accurate quantitation of biofuel components in jet fuel is critical for regulatory compliance, fuel quality assurance, and prevention of gelling or performance issues.
This work aims to develop a robust two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC-TOFMS) method employing a novel diverting flow modulator. The method focuses on the precise quantification of fatty acid methyl esters (FAMEs) and synthetic iso-paraffin (SIP) hydrocarbons, such as farnesane, overcoming coelution and sensitivity limitations of existing ASTM D7974 and IP 585 methods.
The analytical strategy uses a 1 µL split injection of jet fuel samples onto a primary nonpolar column followed by a complementary secondary polar column. A diverting flow modulator alternates sample transfer and waste diversion each second (modulation period), ensuring at least three modulated slices per peak for quantitative reliability. Fast second-dimension separations yield peak widths below 50 ms, supporting high peak capacity.
Calibration for farnesane over 10–1000 µg/mL demonstrated excellent linearity (R² = 0.999). Six common FAME analytes were quantified from 0 to 10 mg/kg with R² > 0.995, using methyl heptadecanoate-d33 as internal standard. GC×GC contour plots show clear separation of target analytes from complex jet fuel matrix and aromatic interferences. Peak slicing met quantitative sampling requirements, and TOFMS spectra matched commercial libraries to identify non-target contaminants (e.g., sulfur- or nitrogen-substituted species).
This method enhances chromatographic resolution and specificity, reducing coelution artifacts and improving accuracy for low-level biofuel components. Regulators and refineries can implement this approach for routine QA/QC to monitor biofuel blending, ensure freeze-point specifications, and detect pipeline carryover.
Advances may include integration of chemometric deconvolution for complex mixtures, expansion to trace contaminant screening, and automation of GC×GC workflows. Miniaturized modulators and real-time data processing will further streamline high-throughput biofuel analysis.
The new GC×GC-TOFMS method with a diverting flow modulator delivers high-resolution separations and sensitive quantitation of FAMEs and SIP hydrocarbons in jet fuel. It addresses regulatory needs and offers a comprehensive tool for biofuel monitoring in complex petroleum matrices.
GCxGC, GC/MSD, GC/TOF
IndustriesEnergy & Chemicals
ManufacturerLECO
Summary
Importance of the Topic
The integration of renewable biofuels into aviation fuel supplies reduces carbon footprint but introduces risks such as pipeline cross-contamination and altered freeze-point behavior. Accurate quantitation of biofuel components in jet fuel is critical for regulatory compliance, fuel quality assurance, and prevention of gelling or performance issues.
Objectives and Study Overview
This work aims to develop a robust two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC-TOFMS) method employing a novel diverting flow modulator. The method focuses on the precise quantification of fatty acid methyl esters (FAMEs) and synthetic iso-paraffin (SIP) hydrocarbons, such as farnesane, overcoming coelution and sensitivity limitations of existing ASTM D7974 and IP 585 methods.
Methodology
The analytical strategy uses a 1 µL split injection of jet fuel samples onto a primary nonpolar column followed by a complementary secondary polar column. A diverting flow modulator alternates sample transfer and waste diversion each second (modulation period), ensuring at least three modulated slices per peak for quantitative reliability. Fast second-dimension separations yield peak widths below 50 ms, supporting high peak capacity.
Used Instrumentation
- Gas Chromatograph: LECO FLUX GC×GC system
- Primary Column: Rxi-5 ms (30 m × 0.25 mm × 0.25 µm)
- Secondary Column: Rxi-17Silms (0.77 m × 0.10 mm × 0.10 µm)
- Carrier Gas: Helium at 1.4 mL/min constant flow
- Modulator: Diverting flow modulator with 1 s cycle time
- Mass Spectrometer: LECO Pegasus BT TOFMS (m/z 50–550, 200 spectra/s)
Results and Discussion
Calibration for farnesane over 10–1000 µg/mL demonstrated excellent linearity (R² = 0.999). Six common FAME analytes were quantified from 0 to 10 mg/kg with R² > 0.995, using methyl heptadecanoate-d33 as internal standard. GC×GC contour plots show clear separation of target analytes from complex jet fuel matrix and aromatic interferences. Peak slicing met quantitative sampling requirements, and TOFMS spectra matched commercial libraries to identify non-target contaminants (e.g., sulfur- or nitrogen-substituted species).
Benefits and Practical Applications
This method enhances chromatographic resolution and specificity, reducing coelution artifacts and improving accuracy for low-level biofuel components. Regulators and refineries can implement this approach for routine QA/QC to monitor biofuel blending, ensure freeze-point specifications, and detect pipeline carryover.
Future Trends and Applications
Advances may include integration of chemometric deconvolution for complex mixtures, expansion to trace contaminant screening, and automation of GC×GC workflows. Miniaturized modulators and real-time data processing will further streamline high-throughput biofuel analysis.
Conclusion
The new GC×GC-TOFMS method with a diverting flow modulator delivers high-resolution separations and sensitive quantitation of FAMEs and SIP hydrocarbons in jet fuel. It addresses regulatory needs and offers a comprehensive tool for biofuel monitoring in complex petroleum matrices.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
FLUX™ GCxGC The operation, use, and concepts behind a diverting flow technique
2019|LECO|Technical notes
FLUX™ GCxGC The operation, use, and concepts behind a diverting flow technique Introduction Comprehensive two-dimensional gas chromatography (GCxGC) offers dramatic improvements over traditional GC for the analysis of complex mixtures in various application fields—including, but not limited to—petrochemical, food, flavor,…
Key words
flow, flowmodulator, modulatormodulation, modulationthermal, thermaldifferential, differentialfirst, firstflux, fluxrates, rateswidths, widthsgcxgc, gcxgctermal, termaldifference, differenceoffers, offersdimensional, dimensionalefficiency
FLUX™ GCxGC - The operation, use, and concepts behind a diverting flow technique
2019|LECO|Technical notes
FLUX™ GCxGC The operation, use, and concepts behind a diverting flow technique Introduction Comprehensive two-dimensional gas chromatography (GCxGC) offers dramatic improvements over traditional GC for the analysis of complex mixtures in various application fields—including, but not limited to—petrochemical, food, flavor,…
Key words
flow, flowmodulator, modulatormodulation, modulationthermal, thermalfirst, firstdifferential, differentialflux, fluxrates, rateswidths, widthsgcxgc, gcxgctermal, termaldifference, differenceoffers, offersdimensional, dimensionalefficiency
Detection and Quantification of Fatty Acid Methyl Esters (FAMES) in Jet Fuel by GCxGC-TOFMS
2013|Agilent Technologies|Applications
Detection and Quantification of Fatty Acid Methyl Esters (FAMES) in Jet Fuel by GCxGC-TOFMS LECO Corporation; Saint Joseph, Michigan USA Key Words: GCxGC-TOFMS, FAMES, Quantification 1. Introduction Jet fuel is frequently shipped in multi-use pipelines and distribution containers. There is…
Key words
methyl, methylhexadecanoate, hexadecanoateheptadecanoate, heptadecanoatelinoleate, linoleatelinolenate, linolenategcxgc, gcxgcstearate, stearateoleate, oleatejet, jettofms, tofmsfuel, fuelfames, famesfatty, fattyfame, fameoleaate
GC×GC Handbook Fundamental Principles of Comprehensive 2D GC
2012|Shimadzu|Guides
C146-E177 GC×GC Handbook Fundamental Principles of Comprehensive 2D GC GCxGC Handbook Fundamental Principles of Comprehensive 2D GC Prof. Luigi Mondello Università degli Studi di Messina 1 Principle of GCxGC [P.2-3] 2 Basic Design of GCxGC Instrumentation [P.4-10] 3 Detectors for…
Key words
gcxgc, gcxgchandbook, handbookmodulator, modulatorcoeluent, coeluentmodulation, modulationtwo, twofirst, firstdimension, dimensionmodulators, modulatorsretention, retentionstage, stagerotating, rotatingmodula, moduladifferent, differenthave