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Algorithm for processing raw mass spectrometric data to identify and quantitate complex lipid molecular species in mixtures by data-dependent scanning and fragment ion database searching

Author
HAOWEI SONG1 ; HSU, Fong-Fu1 ; LADENSON, Jack1 ; TURK, John1
[1] Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, United States
Source

Journal of the American Society for Mass Spectrometry. 2007, Vol 18, Num 10, pp 1848-1858, 11 p ; ref : 37 ref

ISSN
1044-0305
Scientific domain
Biochemistry, molecular biology, biophysics; Analytical chemistry; Organic chemistry
Publisher
Elsevier Science, New York, NY
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Algorithme Analyse qualitative Analyse quantitative Base de données Electrospray Lipide complexe Mélange complexe Méthode analyse Piège ion Spectrométrie masse tandem Spectrométrie masse
Keyword (en)
Algorithm Qualitative analysis Quantitative analysis Database Electrospray Complex lipid Multicomponent mixture Analysis method Ion trap Mass spectrometry MS/MS Mass spectrometry
Keyword (es)
Algoritmo Análisis cualitativo Análisis cuantitativo Base dato Electrospray Lípido complejo Mezcla compleja Método análisis Trampa ión Espectrometría masa en tándem Espectrometría masa
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A02 Analytical, structural and metabolic biochemistry / 002A02F Other biological molecules / 002A02F03 Lipids / 002A02F03D Miscellaneous

Discipline
Analytical, structural and metabolic biochemistry
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
19135613

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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