Gas chromatography-mass spectrometry-based analytical strategies for fatty acid analysis in biological samples.

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  • Author(s): Chiu HH;Chiu HH; Kuo CH; Kuo CH; Kuo CH; Kuo CH
  • Source:
    Journal of food and drug analysis [J Food Drug Anal] 2020 Jan; Vol. 28 (1), pp. 60-73. Date of Electronic Publication: 2019 Nov 27.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't; Review
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Food and Drug Administration, Taiwan Country of Publication: China (Republic : 1949- ) NLM ID: 101630927 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2224-6614 (Electronic) NLM ISO Abbreviation: J Food Drug Anal Subsets: MEDLINE
    • Publication Information:
      Publication: [Taipei, Taiwan] : Food and Drug Administration, Taiwan
      Original Publication: [Taipei City, Taiwan, R.O.C.] : Elsevier, 2013-
    • Subject Terms:
      Gas Chromatography-Mass Spectrometry*; Fatty Acids/*analysis; Liquid-Liquid Extraction ; Solid Phase Microextraction
    • Abstract:
      Fatty acids play critical roles in biological systems. Imbalances in fatty acids are related to a variety of diseases, which makes the measurement of fatty acids in biological samples important. Many analytical strategies have been developed to investigate fatty acids in various biological samples. Due to the structural diversity of fatty acids, many factors need to be considered when developing analytical methods including extraction methods, derivatization methods, column selections, and internal standard selections. This review focused on gas chromatography-mass spectrometry (GC-MS)-based methods. We reviewed several commonly used fatty acid extraction approaches, including liquid-liquid extraction and solid-phase microextraction. Moreover, both acid and base derivatization methods and other specially designed methods were comprehensively reviewed, and their strengths and limitations were discussed. Having good separation efficiency is essential to building an accurate and reliable GC-MS platform for fatty acid analysis. We reviewed the separation performance of different columns and discussed the application of multidimensional GC for improving separations. The selection of internal standards was also discussed. In the final section, we introduced several biomedical studies that measured fatty acid levels in different sample matrices and provided hints on the relationships between fatty acid imbalances and diseases.
      (Copyright © 2019. Published by Elsevier Taiwan LLC.)
    • Contributed Indexing:
      Keywords: Biological samples; Fatty acid; Gas chromatography; Mass spectrometry
    • Accession Number:
      0 (Fatty Acids)
    • Publication Date:
      Date Created: 20191230 Date Completed: 20210421 Latest Revision: 20210421
    • Publication Date:
      20240104
    • Accession Number:
      10.1016/j.jfda.2019.10.003
    • Accession Number:
      31883609