4.7 Article

Free fatty acid determination in plasma by GC-MS after conversion to Weinreb amides

期刊

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
卷 405, 期 6, 页码 1929-1935

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-012-6658-3

关键词

Free fatty acids; Obesity; Weinreb amides

资金

  1. Swedish Research Council [621-2008-3562, 621-2011-4423, 72X-14019]
  2. EC FP7-project Beta-JUDO [279153]
  3. Uppsala Regional Research Council

向作者/读者索取更多资源

Circulating free fatty acids (FFAs) play important physiological roles as contributing components in cellular structure as well as energy utilization. Elevated levels of circulating FFAs are associated with metabolic aberrations in humans. FFAs differ in chain length and saturation and may be altered in metabolically dysregulated conditions, such as type 2 diabetes mellitus. Potentially, alterations in circulating levels of specific FFAs could also be important in terms of prognostic value. Various methods have been used to analyze FFAs. In this study, a straightforward and accurate method for the determination of FFAs in plasma has been established and evaluated, through conversion of plasma FFAs into acid fluorides followed by conversion to Weinreb amides (dimethylamide). The method is mild, efficient, selective, and quantitative for FFAs, when analyzed with capillary gas chromatography tandem mass spectrometry. Standard curves were linear over the range of 1,000-20,000 ng/mL with a correlation coefficient (r (2)) of 0.998, and coefficient of variation of triplicate analysis was < 10 %. The gas chromatography-mass spectrometry (GC-MS) technique was reproducible and repeatable, and recoveries were above 90 %. From the generated MS spectra, five specific FFAs were identified. An explicit interest was the quantification of palmitate (C16:0) and palmitoleate (C16:1), which have been connected with detrimental and positive effects on the insulin-producing beta cells, respectively. The results demonstrate the suitability of Weinreb amides for efficient and rapid isolation of FFAs in plasma, prior to quantitative GC-MS analysis. We suggest that the method can be used as a routine standardized way of quantifying FFAs.

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