English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Lipid profiling by multiple precursor and neutral loss scanning driven by the data-dependent acquisition

MPS-Authors
/persons/resource/persons219659

Schwudke,  Dominik
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219137

Entchev,  Eugeni
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219134

Ejsing,  Christer S
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219360

Kurzchalia,  Teymuras
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons218972

Shevchenko,  Andrej
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Schwudke, D., Oegema, J., Burton, L., Entchev, E., Hannich, J. T., Ejsing, C. S., et al. (2006). Lipid profiling by multiple precursor and neutral loss scanning driven by the data-dependent acquisition. Analytical Chemistry (Washington), 78(2), 585-595.


Cite as: https://hdl.handle.net/21.11116/0000-0001-1060-0
Abstract
Data-dependent acquisition of MS/MS spectra from lipid precursors enables to emulate the simultaneous acquisition of an unlimited number of precursor and neutral loss scans in a single analysis. This approach takes full advantage of rich fragment patterns in tandem mass spectra of lipids and enables their profiling by complex (Boolean) scans, in which masses of several fragment ions are considered within a single logical framework. No separation of lipids is required, and the accuracy of identification and quantification is not compromised, compared to conventional precursor and neutral loss scanning.