Metabolite Identification

Structural Annotation and Elucidation of Conjugated Phenolic Compounds in Black, Green, and White Tea Extracts

Authors: 
Justin J. J. van der Hooft, Moktar Akerm, Fatma Yelda Ünlü, Velitchka Mihaleva, Victoria Gomez Roldan, Raoul J. Bino, Ric C. H. de Vos, and Jacques Vervoort
DOI: 
10.1021/jf300297y

Spectral trees as a robust annotation tool in LC-MS based metabolomics

Authors: 
Van der Hooft, J.J.J., Vervoort, J., Bino, R.J., Beekwilder, J., de Vos, R.C.H.

DOI: 10.1007/s11306-011-0363-7

Elemental Composition determination based on MSn

Authors: 
Miguel-Rojas-Cherto, Piotr T. Kasper, Egon L. Willighagen, Rob Vreeken, Thomas Hankemeier and Theo Reijmers

doi: 10.1093/bioinformatics/btr409

 

Metabolite identification pipeline based on MS fragmentation

Authors: 
M. Rojas Cherto

Structural characterization and identification of components of complex biological mixtures constitutes one of the central aspects of metabolomics. Metabolite identification is a challenging but essential task in studies of biological samples. Mass spectrometry, because of its high sensitivity and specificity, is widely and successfully used in analysis of biological samples.

Multi-Stage Elemental Formula Tool for Metabolite Identification

Authors: 
M. Rojas Cherto

Because of its high sensitivity and specificity, mass spectrometry is widely and successfully applied in metabolomics studies for the analysis of all types of different biological samples. For biological interpretation, the identity of the metabolites have to be known.

An inter-laboratory comparison demonstrates that [H-1]-NMR metabolite fingerprinting is a robust technique for collaborative plant characterization and data collection.

Authors: 
Ward JL, Baker JM, Miller SJ, Deborde C, Maucourt M, Biais B, Rolin D, Moing A, Moco S, Vervoort J, Lommen A, Schafer H, Humpfer E, Beale MH.

DOI: 10.1007/s11306-010-0200-4

Systems toxicology study of doxorubicin on rats using ultra performance liquid chromatography coupled with mass spectrometry based metabolomics

Authors: 
Wang J, Reijmers T, Chen L, Van Der Heijden R, Wang M, Peng, S, Hankemeier T, Xu G, Van Der Greef J.

DOI: 10.1007/s11306-009-0165-3

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