Bruker MRMS Applications Handbook

Guides | 2020 | BrukerInstrumentation
LC/MS, LC/Ultra-HRMS
Industries
Energy & Chemicals , Proteomics , Metabolomics, Other
Manufacturer
Bruker

Significance of the topic


The emergence of Magnetic Resonance Mass Spectrometry (MRMS) with conduction-cooled high-field magnets and advanced detection cells has transformed analysis of complex biomolecules and mixtures. Enabled by sub-ppm mass accuracy, extreme resolution, and access to isotopic fine structure (IFS), MRMS accelerates discovery across multiple fields:
  • Top-down proteomics and native MS for intact proteins and multi­protein complexes.
  • MALDI imaging in metabolomics, lipidomics and spatial phenotyping.
  • High-throughput metabolomic and phenomic profiling via FIA-MRMS.
  • Petroleomics and environmental analysis of ultra-complex organic mixtures.

Objectives and overview


  • Introduce solariX XR and scimaX MRMS platforms powered by ParaCell™ detection.
  • Demonstrate key applications spanning MALDI imaging, metabolomics/phenomics, native MS, top-down proteomics, and petroleomics.
  • Highlight advantages in throughput, sensitivity, mass accuracy and IFS for unambiguous formula assignments.

Methodology and instrumentation used


  • FT-ICR MS (solariX XR series) with conduction-cooled 7 T magnet and ParaCell detection.
  • scimaX MRMS for MALDI imaging at sub-ppm accuracy; dual ESI/MALDI ion source.
  • ultra-high speed MALDI-TOF/TOF rapifleX for high-throughput imaging.
  • UHPLC-QTOF (impact II, maXis II) and FIA-MRMS (MRMS aXelerate) for targeted/untargeted metabolomics.
  • GC-APCI interfaces for flow-injection petroleomics and environmental sample analysis.

Main results and discussion


  • MALDI MRMS imaging at 20–50 μm resolution visualizes thousands of lipids, metabolites and peptides in tissues, enabling SpatialOMx workflows and coregistration with histology.
  • Single-cell metabolomics via microMS-guided acquisition on scimaX and rapifleX reveals lipid heterogeneity in neurons and astrocytes, correlating MS profiles to immunocytochemical classification.
  • FIA-MRMS (MRMS aXelerate) achieves >200 samples/day for global profiling and biomarker discovery in phenomic studies, with <2 min analysis/sample.
  • Top-down proteomics and native MS on solariX XR and impact II deliver isotopic resolution of intact proteins (up to 200 kDa), mapping proteoforms and binding stoichiometries.
  • GC-APCI FTMS after thermal or chromatographic separation resolves sulfur and polyaromatic compounds in oils, enabling molecular classification and reproducible quantitation of trace species.

Benefits and practical applications


  • Sub-ppm accuracy and IFS remove ambiguity in formula assignment, speeding dereplication in natural products and metabolomics.
  • High throughput MALDI-TOF and FIA MRMS meet the needs of large-scale phenomics and fragment screening in drug discovery.
  • Native MS & top-down proteomics on solariX enable direct analysis of non-covalent complexes, proteoform mapping, and ligand binding studies without hardware mods.
  • Petroleomics and environmental workflows provide robust molecular profiling of oils, NOM, and pollutants for industrial QC and ecological monitoring.

Future trends and possibilities


  • Combining UHR-MS with ion mobility (TIMS) and PASEF (timsTOF fleX) for rapid separation of isomers, glycoforms and cellular spatial-omics.
  • Broader adoption of integrated MALDI Imaging and LC-MS workflows on timsTOF fleX for spatial multi-omics.
  • Wider application of top-down proteomics and native MS in structural biology, biomarker discovery, and personalized medicine.
  • Advanced software pipelines (MetaboScape, SCiLS Lab) for automated IFS-driven formula ID and data integration across modalities.

Conclusion


solariX XR and scimaX MRMS platforms do more than detect small metabolites—they resolve intact proteins, complexes, and trace compounds with unmatched resolution, accuracy, and throughput. These tools, coupled with advanced informatics, drive breakthroughs in proteomics, drug discovery, metabolomics, and environmental science, enabling researchers to see every molecule in complex mixtures.

References


  • Wongkongkathep P. et al., J. Proteomics 2019, 191, 504–513.
  • Spraggins J.M. et al., Anal. Chem. 2015, 87, 6372–6381.
  • Neumann E.K. et al., Angew. Chem. Int. Ed. 2019, 58, 5910–5914.
  • Campuzano I.D.G. et al., Anal. Chem. 2018, 90, 745–751.
  • Hoffmann T. et al., ACS Chem. Biol. 2018, 13, 3093–3102.
  • Rüger C.P. et al., Anal. Chem. 2015, 87, 6493–6499.
  • Tang Y. et al., Anal. Chem. 2018, 90, 3793–3801.
  • Koch B.P. et al., Geochim. Cosmochim. Acta 2005, 69, 3299–3308.

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