Deeper and broader analysis for untargeted metabolomics
Untargeted metabolomics compares the relative abundances of all metabolites in multiple samples, often complex, without prior knowledge. Both the separation techniques and the high-resolution, accurate-mass (HRAM) Thermo Scientific Orbitrap MS must be highly reproducible, have high sensitivity and be capable of measuring a wide dynamic range of compounds ranging from very hydrophilic to hydrophobic metabolites for comprehensive coverage.
Thermo Scientific metabolomics software is specially designed to mine the rich HRAM Orbitrap MS data to convert large data sets into meaningful insights.
Obtain valuable quantitative insights from small- to large-scale studies across a variety of applications from untargeted, semi-targeted to targeted metabolomics studies. With optimized methods, the Thermo Scientific Orbitrap Exploris 240 mass spectrometer delivers a fast turnaround of sample to results with operational simplicity. Best-in-class performance together with Thermo Scientific AcquireX intelligent data acquisition delivers a fast track to confident results, all within a compact footprint, so you can go beyond with everyday versatility.
Obtain maximum insights on your most complex compounds and biological systems. With new innovations that deliver the experimental versatility to address chemical diversity, built-in AcquireX intelligent data acquisition strategy to collect more meaningful data and MSn for structural elucidation, the Thermo Scientific Orbitrap IQ-X Tribrid mass spectrometer redefines untargeted metabolomics, accelerating your path to real biological results so you can drive your science beyond today’s discovery. Utilizing intelligent MSn with Real-Time Library Search and expanded AcquireX workflows, the Orbitrap IQ-X Tribrid MS goes beyond to deliver unrivaled small molecule insights.
GC-MS produces reproducible molecular fragmentation patterns, making it an integral tool for metabolite identification. Accurate mass electron ionization (EI) fragment patterns are also suitable for matching against widely available spectral libraries, while offering Orbitrap HRAM for more in-depth characterization.
Metabolomics data analysis consists of component extraction, quantitation, statistical analysis, compound identification and biological interpretation. Thermo Scientific Compound Discoverer small-molecule identification software addresses the challenges of turning large and complex biological data sets into usable knowledge. Combined with powerful visualization tools, this software enables you to quickly find and identify the differences that matter.
Metabolite identification is by far the most challenging step in metabolomics research. Thermo Scientific mzCloud is a state of the art online mass spectral database. It features a freely searchable collection of HRAM spectra using a new third generation spectra correlation algorithm.