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GC-MS Analysis of Medium- and Long-Chain Fatty Acids in Blood Samples.
Hoving, Lisa R; Heijink, Marieke; van Harmelen, Vanessa; van Dijk, Ko Willems; Giera, Martin.
Afiliação
  • Hoving LR; Department of Human Genetics and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center (LUMC), Leiden, The Netherlands.
  • Heijink M; Center for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Leiden, The Netherlands.
  • van Harmelen V; Department of Human Genetics and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center (LUMC), Leiden, The Netherlands.
  • van Dijk KW; Department of Human Genetics and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center (LUMC), Leiden, The Netherlands.
  • Giera M; Division of Endocrinology, Department of Medicine, Leiden University Medical Center (LUMC), Leiden, The Netherlands.
Methods Mol Biol ; 1730: 257-265, 2018.
Article em En | MEDLINE | ID: mdl-29363079
Our body contains a wide variety of fatty acids that differ in chain length, the degree of unsaturation, and location of the double bonds. As the various fatty acids play distinct roles in health and disease, methods that can specifically determine the fatty acid profile are needed for fundamental and clinical studies. Here we describe a method for the separation and quantification of fatty acids ranging from 8 to 24 carbon chain lengths in blood samples using gas chromatography-mass spectrometry following derivatization using pentafluorobenzyl bromide. This method quantitatively monitors fatty acid composition in a manner that satisfies the requirements for comprehensiveness, sensitivity, and accuracy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ácidos Graxos / Metabolômica Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ácidos Graxos / Metabolômica Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article