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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Zeng, Ying-Xu Meier, Sonnich Vadla, Reidun Mjøs, Svein A. Lin, Chen-Chen |
| Description | Country affiliation: Norway Author Affiliation: Zeng YX ( Department of Chemistry, University of Bergen, P.O. Box 7803, N-5020 Bergen, Norway.) |
| Abstract | Liquid chromatography-mass spectrometry represents a powerful tool for the analysis of intact glycerophospholipids (GPLs), but manual data interpretation may be a bottleneck in these analyses. The present paper proposes a least square regression approach for the automated characterization and deconvolution of the main GPLs species, i.e., phosphatidylcholine and phosphatidylethanolamine analyzed by class-specific scanning methods such as precursor ion scanning and neutral loss scanning, respectively. The algorithm is based on least squares resolution of spectra and chromatograms from theoretically calculated mass spectra, and eliminates the need for isotope correction. Results from the application of the methodology on reference compounds and extracts of cod brain and mouse brain are presented. |
| ISSN | 00219673 |
| Volume Number | 1280 |
| e-ISSN | 18733778 |
| Journal | Journal of Chromatography A |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2013-03-08 |
| Publisher Place | Netherlands |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Chromatography, Liquid Methods Glycerophospholipids Analysis Least-squares Analysis Mass Spectrometry Algorithms Animals Brain Chemistry Gadiformes Chemistry Isolation & Purification Mice Reproducibility Of Results Swine Journal Article Discipline Analytical Chemistry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Organic Chemistry Medicine Analytical Chemistry Biochemistry |
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