Newly enhanced features offer fast, confident small molecule structural identification from MSn data with over 99% literature coverage on fragmentation mechanisms and client-server database capabilities for dynamic library searching and storage.
Product Detail
Mass Frontier 6.0 offers sophisticated features for the management, evaluation and interpretation of mass spectra. The software is applicable to small molecule structural elucidation in a wide range of applications, including metabolite identification and impurity analysis in drug discovery and toxicology studies. It complements Thermo Scientific MetWorks metabolite identification software for the study of biotransformations and SIEVE differential analysis software for the study of metabolomics. Providing comprehensive spectral data and fragmentation mechanism knowledge management, the new version of Mass Frontier facilitates structural elucidation by simplifying the interpretation of MSn spectral data.
What does Mass Frontier do for your lab? (Clink on any of the links below to find out more)
Fragmentation predictionand automatic spectral annotation simplify the interpretation of MSn spectra
Over 99% literature coverage by the Fragmentation Library™, eliminates the need for literature searching
The capability to learn new fragmentation mechanisms from user-built libraries enables intelligent, customized knowledge database
Flexible Database Manager allows heterogeneous data (spectrum, spectral tree, structure, fragmentation mechanism, experimental conditions, etc) be stored, transferred and queried in and between libraries
New SQL client-server capability increases productivity by allowing multiple users to easily and efficiently share and manage knowledge
Full-featured graphical editor allows easy drawing/editing of a structure or a fragmentation mechanism
Full compatibility with HRAM data streamlines data processing and increases confidence in analyses results
FISh (Fragment Ion Search) provides fast screening for structurally similar compounds
Expert-annotated spectral libraries from common pharmaceutical compounds and human metabolites establish empirical knowledge database applicable to Pharm/Tox studies
Components Detection and automatic MSn spectral tree deconvolution accelerate data processing in structural elucidation