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How can the Orbitrap Exploris GC 240 mass spectrometer and Compound Discoverer software lead discovery in metabolomics studies?

Others | 2021 | Thermo Fisher ScientificInstrumentation
Software, LC/HRMS, LC/MS, LC/MS/MS, LC/Orbitrap
Industries
Metabolomics
Manufacturer
Thermo Fisher Scientific

Summary

Importance of the Topic


The comprehensive profiling of small molecules in complex biological, environmental, and clinical samples is essential for understanding metabolic pathways, biomarker discovery, and quality control. High-resolution accurate mass (HRAM) gas chromatography–mass spectrometry (GC-MS) combined with advanced informatics enables researchers to achieve deeper coverage of the metabolome, offering sensitive detection, structural elucidation, and reliable quantification of volatile, semi-volatile, and derivatized polar metabolites.

Objectives and Study Overview


This study evaluates the capability of the Thermo Scientific Orbitrap Exploris GC 240 mass spectrometer in conjunction with Compound Discoverer software to support untargeted metabolomics workflows. The goals include demonstrating high-quality data acquisition via electron ionization (EI) and positive chemical ionization (PCI), streamlined data processing, confident compound identification, and robust statistical analysis across diverse sample groups.

Methodology and Instrumentation


The analytical workflow integrates GC-EI full-scan acquisition at 60,000 resolving power (FWHM at m/z 200) and PCI experiments using methane as reagent gas. Key steps:
  • Sample derivatization to volatilize polar metabolites.
  • GC separation followed by HRAM detection on the Orbitrap Exploris GC 240 MS.
  • Compound Discoverer processing nodes for EI and PCI data, including deconvolution, feature extraction, and library matching.
  • Spectral searches against nominal mass (NIST, Wiley) and high-resolution accurate mass libraries (Thermo Scientific GC-MS HRAM Metabolomics Library).
  • Elemental composition prediction and molecular ion annotation via PCI adducts ([M+H]+, [M+C2H5]+, [M+C3H5]+).
  • Multivariate statistical analysis (PCA, volcano plots, clustering) and FISh scoring for MS2 fragmentation confirmation.

Key Results and Discussion


The Orbitrap Exploris GC 240 MS delivered sub-ppm mass accuracy, a wide dynamic range, and fast scan rates, enabling reliable peak deconvolution and spectral fidelity. Compound Discoverer workflows:
  • Automatically extracted deconvoluted features and matched them to library entries with high spectral match scores (search index >800, HRF score >90).
  • Predicted elemental compositions with minimal candidate lists thanks to <1 ppm accuracy in PCI data.
  • Enabled FISh-based in silico MS2 spectral matching to support structural annotation of unknowns.
  • Revealed clear group separations in PCA and identified statistically significant metabolites via volcano plots and boxplots.

Together, EI and PCI data streams provided complementary information: EI offered detailed fragmentation patterns for spectral library matching, while PCI confirmed molecular ions and elemental compositions.

Benefits and Practical Applications


This integrated platform offers:
  • Unprecedented metabolome coverage through combined EI and CI workflows.
  • Rapid annotation of hundreds of compounds with high confidence.
  • User-friendly interface for feature extraction, statistical analysis, and pathway mapping.
  • Scalability for high-throughput clinical, environmental, and research laboratories.

Future Trends and Potential Applications


Emerging developments in GC-MS metabolomics may include:
  • Expanded high-resolution metabolic libraries covering novel derivatization chemistries.
  • Integration of machine-learning algorithms to predict retention indices and fragment structures.
  • Automated workflow pipelines linking GC-MS data to multi-omics databases.
  • New reagent gases and ionization methods to broaden analyte coverage and sensitivity.

Conclusion


The Orbitrap Exploris GC 240 MS coupled with Compound Discoverer software constitutes a powerful solution for untargeted metabolomics. High-resolution EI and PCI data acquisition, comprehensive library support, and advanced statistical tools accelerate reliable metabolite identification and biological insights.

References


1. Thermo Fisher Scientific Application Note 10724: Breakthrough performance of the Orbitrap Exploris GC for analytical testing and scientific research applications, 2020.

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