Orbitrap Fusion Lumos MS System

Unmatched analytical performance and Revolutionary MS architecture

Transforming biological research

In the world of systems and structural biology, research objectives continue to become more challenging: digging deeper into the proteome, identifying lower abundance analytes in more complex samples, making quantitative comparisons over more experimental conditions, elucidating structures faster. Meeting such challenges is the goal of the Thermo Scientific™ Orbitrap Fusion™ mass spectrometer. Its revolutionary Thermo Scientific™ Tribrid™ architecture combines the best of quadrupole, Orbitrap, and linear ion trap mass analyzers in a new class of instrument. The Tribrid architecture provides unprecedented depth of analysis, enabling scientists with the most challenging low-abundance, high-complexity, or difficult-to-analyze samples to identify more compounds faster, quantify more accurately, and elucidate structures more thoroughly. Easy to use, yet sophisticated, the Orbitrap Fusion MS lets researchers concentrate on their science rather than method development and instrument operation.

Identify more analytes more quickly

• Increased sensitivity, scan rate, and mass resolution enhance the ability to positively identify more low-abundance proteins, such as transcription factors, in less time. Productivity is enhanced through the massive parallelization enabled by Tribrid architecture and Dynamic Scan Management.

Quantify more accurately

• Synchronous Precursor Selection combined with MS3 significantly improves quantitative accuracy when using isobaric mass tags for relative quantitation of proteins.

Elucidate structures more thoroughly

• The ability to use any fragmentation mode, at any stage of MSn analysis, with detection by ion trap or Thermo Scientific™ Orbitrap™ mass analyzer, maximizes structural information from metabolites, glycans, PTMs, and sequence polymorphisms.

Work more efficiently

• Next-generation hardware and software make methods more universal and setup easier. Users can spend more time thinking about their research and less time optimizing their methods.