Methods of the analysis of oxylipins in biological samples

Ivan Liakh , Alicja Pakiet , Tomasz Śledziński , Adriana Mika

Abstract

Oxylipins are derivatives of polyunsaturated fatty acids and due to their important and diverse functions in the body, they have become a popular subject of studies. The main challenge for researchers is their low stability and often very low concentration in samples. Therefore, in recent years there have been developments in the extraction and analysis methods of oxylipins. New approaches in extraction methods were described in our previous review. In turn, the old analysis methods have been replaced by new approaches based on mass spectrometry (MS) coupled with liquid chromatography (LC) and gas chromatography (GC), and the best of these methods allow hundreds of oxylipins to be quantitatively identified. This review presents comparative and comprehensive information on the progress of various methods used by various authors to achieve the best results in the analysis of oxylipins in biological samples.
Author Ivan Liakh
Ivan Liakh,,
-
, Alicja Pakiet (FCh / DEA / LChER)
Alicja Pakiet,,
- Laboratory of Chemical Environmental Risks
, Tomasz Śledziński
Tomasz Śledziński,,
-
, Adriana Mika (FCh / DEA / LChER)
Adriana Mika,,
- Laboratory of Chemical Environmental Risks
Journal seriesMolecules, ISSN 1420-3049, (N/A 100 pkt)
Issue year2020
Vol25
No2
Pages1-33
Publication size in sheets1.6
Article number349
Keywords in Englishoxylipins, biological samples, HPLC, UHPLC, GC-MS, LC-MS
ASJC Classification1605 Organic Chemistry
DOIDOI:10.3390/molecules25020349
URL https://www.mdpi.com/1420-3049/25/2/349
Languageen angielski
LicenseRepository; published final; Uznanie Autorstwa (CC-BY); with publication
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Liakh_Ivan_Methods_of_the_analysis_2020.pdf 901.46 KB
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 06-03-2020, ArticleFromJournal
Publication indicators WoS Citations = 3; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.146; WoS Impact Factor: 2018 = 3.06 (2) - 2018=3.38 (5)
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LicencjaUtwór jest udostępniany na licencji Creative Commons Uznanie autorstwa 4.0 Międzynarodowe (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/d
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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