de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Datenschutzhinweis Impressum Kontakt
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Acid-base-driven matrix-assisted mass spectrometry for targeted metabolomics

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons4177

Shroff,  Rohit
Research Group Mass Spectrometry, MPI for Chemical Ecology, Max Planck Society;
IMPRS on Ecological Interactions, MPI for Chemical Ecology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons3856

Doubský,  Jan
Research Group Mass Spectrometry, MPI for Chemical Ecology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons4203

Svatoš,  Aleš
Research Group Mass Spectrometry, MPI for Chemical Ecology, Max Planck Society;

Externe Ressourcen
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Zitation

Shroff, R., Rulíšek, L., Doubský, J., & Svatoš, A. (2009). Acid-base-driven matrix-assisted mass spectrometry for targeted metabolomics. Proceedings of the National Academy of Sciences of the United States of America, 106(25), 10092-10096. doi:10.1073/pnas.0900914106.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0012-B473-F
Zusammenfassung
The ability to charge huge biomolecules without breaking them apart has made matrix-assisted laser desorption/ionization (MALDI) mass spectrometry an indispensable tool for biomolecular analysis. Conventional, empirically selected matrices produce abundant matrix ion clusters in the low-mass region (<500 Da), hampering the application of MALDI-MS to metabolomics. An ionization mode of MAILD, a rational protocol for matrix selection based on Brønsted–Lowry acid–base theory and its application to metabolomics, biological screening/profiling/imaging, and clinical diagnostics is illustrated. Numerous metabolites, covering important metabolic pathways (Krebs' cycle, fatty acid and glucosinolate biosynthesis), were detected in extracts, biofluids, and/or in biological tissues (Arabidopsis thaliana, Drosophila melanogaster, Acyrthosiphon pisum, and human blood). This approach moves matrix selection from “black art” to rational design and sets a paradigm for small-molecule analysis via MALDI-MS.