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  • 标题:A simplified and efficient method for the analysis of fatty acid methyl esters suitable for large clinical studies
  • 本地全文:下载
  • 作者:Masood, Athar ; Stark, Ken D. ; Salem, Norman, Jr.
  • 期刊名称:JLR Papers In Press
  • 印刷版ISSN:0022-2275
  • 电子版ISSN:1539-7262
  • 出版年度:2005
  • 卷号:46
  • 期号:10
  • 页码:2299-2305
  • DOI:10.1194/jlr.D500022-JLR200
  • 出版社:American Society for Biochemistry and Molecular Biology
  • 摘要:Conventional sample preparation for fatty acid analysis is a complicated, multiple-step process, and gas chromatography (GC) analysis alone can require >1 h per sample to resolve fatty acid methyl esters (FAMEs). Fast GC analysis was adapted to human plasma FAME analysis using a modified polyethylene glycol column with smaller internal diameters, thinner stationary phase films, increased carrier gas linear velocity, and faster temperature ramping. Our results indicated that fast GC analyses were comparable to conventional GC in peak resolution. A conventional transesterification method based on Lepage and Roy was simplified to a one-step method with the elimination of the neutralization and centrifugation steps. A robotics-amenable method was also developed, with lower methylation temperatures and in an open-tube format using multiple reagent additions. The simplified methods produced results that were quantitatively similar and with similar coefficients of variation as compared with the original Lepage and Roy method. The present streamlined methodology is suitable for the direct fatty acid analysis of human plasma, is appropriate for research studies, and will facilitate large clinical trials and make possible population studies. Abbreviations: BHT, butylated hydroxytoluene; DHA, docosahexaenoic acid; EPA, eicosapentaenoic acid; FAME, fatty acid methyl ester; FID, flame ionization detector; GC, gas chromatography; HUFA, highly unsaturated fatty acid; RRF, relative response factor Supplementary key words fatty acid analysis • plasma • transesterification method • robotic chemistry • fast gas chromatographic analysis
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