Analytical Chemistry · 2009 · 1.5K citations · 37 references
Life SciencesBiochemistryChemistryAnalytical ChemistryMass Spectrometric AnalysisMetabolomicsMass SpectrometryMass Spectrometry-based MetabolomicsMetabolite AnnotationMetabolite IdentificationMetabolite ProfilingMetabolomics Data AnalysisCompound IdentificationGas Chromatography-mass SpectrometryMetabolic Pathway DatabasesMetabolite LibrariesPathway Database ConstructionPrimary MetabolitesRetention IndexTime-of-flight Mass Spectrometry
Metabolomics requires at least two independent parameters for compound identification. The authors compiled 2,212 electron‑impact mass spectra and retention indices for over 1,000 primary metabolites (≤550 Da) across diverse chemical classes, using methoximation and trimethylsilylation, sourced from multiple metabolic pathway databases. The resulting FiehnLib libraries contain 68 % more compounds and twice as many spectra with greater diversity than the Golm database, include unique compounds absent from NIST05, and enable identification in GC/MS software and the BinBase metabolomic database.
At least two independent parameters are necessary for compound identification in metabolomics. We have compiled 2 212 electron impact mass spectra and retention indices for quadrupole and time-of-flight gas chromatography/mass spectrometry (GC/MS) for over 1000 primary metabolites below 550 Da, covering lipids, amino acids, fatty acids, amines, alcohols, sugars, amino-sugars, sugar alcohols, sugar acids, organic phosphates, hydroxyl acids, aromatics, purines, and sterols as methoximated and trimethylsilylated mass spectra under electron impact ionization. Compounds were selected from different metabolic pathway databases. The structural diversity of the libraries was found to be highly overlapping with metabolites represented in the BioMeta/KEGG pathway database using chemical fingerprints and calculations using Instant-JChem. In total, the FiehnLib libraries comprised 68% more compounds and twice as many spectra with higher spectral diversity than the public Golm Metabolite Database. A range of unique compounds are present in the FiehnLib libraries that are not comprised in the 4345 trimethylsilylated spectra of the commercial NIST05 mass spectral database. The libraries can be used in conjunction with GC/MS software but also support compound identification in the public BinBase metabolomic database that currently comprises 5598 unique mass spectra generated from 19,032 samples covering 279 studies of 47 species (plants, animals, and microorganisms).
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Proposed minimum reporting standards for chemical analysis
Lloyd W. Sumner, Alexander Amberg, Michael H. Beale et al. · Metabolomics · 2007 · 5K citations · Full text
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