Literature DB >> 14650614

Detailed analysis and group-type separation of natural fats and oils using comprehensive two-dimensional gas chromatography.

Luigi Mondello1, Alessandro Casilli, Peter Quinto Tranchida, Paola Dugo, Giovanni Dugo.   

Abstract

Comprehensive gas chromatography (GC x GC) is an adequate methodology for the separation and identification of very complex samples. It is based on the coupling of two capillary columns that each give a different but substantial contribution to the unprecedented resolving power of this technique. The 2D space chromatograms that derive from GC x GC analysis have great potential for identification. This is due to the fact that the contour plot positions, pinpointed by two retention time coordinates, give characteristic patterns for specific families of compounds that can be mathematically translated. This investigation concerned the application of this principle to fatty acid methyl esters that were grouped on an equal double bond number basis. The ester samples were derived from various lipids and all underwent bidimensional analysis on two sets of columns. Peak attribution was supported by mass spectra, linear retention indices and information reported in the literature.

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Year:  2003        PMID: 14650614     DOI: 10.1016/s0021-9673(03)01130-0

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  2 in total

1.  Analysis of fatty acid composition in insulin secreting cells by comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry.

Authors:  Amy L Payeur; Matthew A Lorenz; Robert T Kennedy
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2012-03-07       Impact factor: 3.205

2.  Muscle fatty acid profiles of sea lamprey (Petromyzon marinus L.) indicate the use of fast metabolized energy during ontogenesis.

Authors:  Elói Martins; Pedro R Almeida; Bernardo R Quintella; Marco Gomes da Silva; Maria João Lança
Journal:  Fish Physiol Biochem       Date:  2018-10-27       Impact factor: 2.794

  2 in total

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