Strategic Utilization of Gas Chromatography with Both Nominal and High Resolution Time-of-Flight Mass Spectrometers for Metabolomic Studies
Posters | 2014 | LECOInstrumentation
Metabolomics bridges the gap between genotype and phenotype by profiling small molecules in biological systems. Gas chromatography coupled to time-of-flight mass spectrometry (GC-TOFMS) delivers rapid, sensitive, and comprehensive detection of diverse metabolites. Combining nominal resolution (Pegasus HT/4D) with high resolution accurate mass spectrometry (Pegasus HRT) addresses key challenges such as chemical complexity, concentration range variability, and confident compound identification in metabolomic investigations.
This work demonstrates the strategic deployment of GC-TOFMS platforms for both discovery and confirmation in metabolomic studies. Key objectives include:
Blood plasma samples were derivatized in two steps: methoximation (MEOX) at 60 °C for 1 h, followed by silylation with MSTFA at 60 °C for 1 h. An internal standard (OFN) and fatty acid methyl esters were spiked to monitor retention indices and instrument performance. Samples were analyzed under both electron ionization (EI) and chemical ionization (CI) modes to enrich structural information.
The study utilized three GC-TOFMS platforms:
GC-TOFMS platforms offer:
By strategically combining nominal resolution (Pegasus HT/4D) for high-throughput discovery with high resolution accurate mass spectrometry (Pegasus HRT) for confirmation, researchers can overcome major metabolomic challenges. This workflow delivers robust, sensitive, and reliable metabolite identification, enhancing the depth and confidence of biological insights.
GCxGC, GC/MSD, GC/HRMS, GC/TOF
IndustriesMetabolomics
ManufacturerLECO
Summary
Importance of the Topic
Metabolomics bridges the gap between genotype and phenotype by profiling small molecules in biological systems. Gas chromatography coupled to time-of-flight mass spectrometry (GC-TOFMS) delivers rapid, sensitive, and comprehensive detection of diverse metabolites. Combining nominal resolution (Pegasus HT/4D) with high resolution accurate mass spectrometry (Pegasus HRT) addresses key challenges such as chemical complexity, concentration range variability, and confident compound identification in metabolomic investigations.
Objectives and Study Overview
This work demonstrates the strategic deployment of GC-TOFMS platforms for both discovery and confirmation in metabolomic studies. Key objectives include:
- Evaluating throughput and robustness of Pegasus HT/4D for broad metabolite screening
- Assessing chromatographic resolution and mass accuracy of Pegasus HRT for structural confirmation
- Illustrating complementary roles of nominal and high resolution analyses using human plasma reference material
Methodology
Blood plasma samples were derivatized in two steps: methoximation (MEOX) at 60 °C for 1 h, followed by silylation with MSTFA at 60 °C for 1 h. An internal standard (OFN) and fatty acid methyl esters were spiked to monitor retention indices and instrument performance. Samples were analyzed under both electron ionization (EI) and chemical ionization (CI) modes to enrich structural information.
Used Instrumentation
The study utilized three GC-TOFMS platforms:
- Pegasus HT: Single-dimension GC-TOFMS with Rxi-5MS column (30 m × 0.25 mm × 0.25 µm), He carrier gas at 1.0 mL/min, temperature program 70 °C (4 min) to 300 °C at 20 °C/min, acquisition at 10 spectra/s.
- Pegasus 4D: Two-dimensional GC-TOFMS adding an Rtx-200 secondary column (1.5 m × 0.25 mm × 0.25 µm), modulation every 5 s, secondary oven +5 °C offset, acquisition at 200 spectra/s.
- Pegasus HRT: High resolution GC-HRTOFMS using the same GC conditions as HT, EI mass range 30–600 m/z, CI mass range 65–1000 m/z (5% NH3 in CH4), acquisition up to 12 spectra/s, employing Peak True deconvolution and high resolution accurate mass measurement.
Main Results and Discussion
- Pegasus HT/4D achieved rapid profiling of NIST human plasma, resolving classes such as monosaccharides, amino acids, organic acids, fatty acids, sterols, and disaccharides in a single injection.
- Cryogenic focusing and Peak True deconvolution enhanced chromatographic resolution and sensitivity, delivering library match scores above 800 for key metabolites.
- Pegasus HRT provided high resolution spectra with mass accuracy typically within ±1 ppm, enabling confident identification through accurate mass and isotope pattern matching.
- Combination of EI-HRT and CI-HRT experiments for compounds like serine 3TMS and glucose MEOX 5TMS illustrated improved selectivity and structural confirmation via molecular adduct formulae.
Benefits and Practical Application
GC-TOFMS platforms offer:
- High throughput screening capable of detecting thousands of features per sample.
- Exceptional chromatographic separation for isomeric and co-eluting metabolites.
- Access to extensive spectral libraries (e.g., NIST) for rapid spectral matching.
- High resolution accurate mass data for definitive formula confirmation and structural elucidation.
Future Trends and Possibilities
- Integration of multi-dimensional GC separations with high resolution MS for deeper metabolome coverage.
- Expansion of public and proprietary libraries to include transformed, modified, and low-abundance metabolites.
- Automation of sample preparation and advanced data processing workflows leveraging machine learning.
- Adoption of combined EI/CI-HRT strategies for targeted biomarker quantitation in clinical and regulatory settings.
Conclusion
By strategically combining nominal resolution (Pegasus HT/4D) for high-throughput discovery with high resolution accurate mass spectrometry (Pegasus HRT) for confirmation, researchers can overcome major metabolomic challenges. This workflow delivers robust, sensitive, and reliable metabolite identification, enhancing the depth and confidence of biological insights.
References
- F. Hadacek et al., Metabolomics, 2013, 9, 564–574.
- P. Britz-McKibbin et al., Chemical Reviews, 2013, 113, 2437–2468.
- W.B. Dunn et al., Metabolomics, 2013, 9, S44–S66.
- Anal. Chem., 2013, 85, 11725–11731.
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