95
Views
18
CrossRef citations to date
0
Altmetric
MASS SPECTROMETRY

Application of Chip-Based Nanoelectrospray Ion Trap Mass Spectrometry to Compositional and Structural Analysis of Gangliosides in Human Fetal Cerebellum

, , , , &
Pages 1036-1049 | Received 11 Feb 2010, Accepted 12 Mar 2010, Published online: 31 Mar 2011
 

Abstract

Two native ganglioside mixtures from normal human fetal cerebellum in the 15th (Cc15) and 40th (Cc40) gestational week were subjected to NanoMate high capacity ion trap (HCT) mass spectrometric (MS) and collision induced dissociation (CID) tandem MS (MS2) analysis under thoroughly optimized experimental conditionns. An total of 56 different species were identified in Cc15 and 54 in Cc40. By employing CID MS2 molecular ions, related GD1 (d18:1/20:0) and GM2 (d18:1/19:0) species were structurally characterized in a high throughput mode. The method provided elevated ionization efficiency, high speed of analysis, almost 100% reproducibility at sample consumption per experiment situated in the femtomole range.

View correction statement:
Corrigendum

Acknowledgments

This work was supported by the Romanian National Authority for Scientific Research through the project PN-II-41001/2007 to A. D. Zamfir and by the Croatian Ministry of Science and Technology under project 108120 to Ž. Vukelić. Permission for experiments with human tissue for scientific purposes was obtained from the Ethical Commission of the Medical Faculty of University of Zagreb, Croatia.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 768.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.