Literature DB >> 30412686

Quantification of eicosanoids and their metabolites in biological matrices: a review.

Yashpal S Chhonker1, Veenu Bala2, Daryl J Murry1.   

Abstract

The quantification of eicosanoids and their metabolites in biological samples remain an analytical challenge, even though a number of methodologies/techniques have been developed. The major difficulties encountered are related to the oxidation of eicosanoids and their low quantities in biological matrices. Among the known methodologies, liquid chromatography-mass spectrometry (LC-MS/MS) is the standard method for eicosanoid quantification in biological samples. Recently advances have improved the ability to identify and simultaneous quantitate eicosanoids in biological matrices. The present article reviews the quantitative analysis of eicosanoids in different biological matrices by LC and ultra performance liquid chromatography (UPLC)-MS/MS and discusses important aspects to be considered during the collection, sample preparation and the generation of calibration curves required for eicosanoid analysis.

Entities:  

Keywords:  LC and UPLC–MS/MS; biomarker; biomatrices; calibration; eicosanoids

Mesh:

Substances:

Year:  2018        PMID: 30412686      PMCID: PMC6562698          DOI: 10.4155/bio-2018-0173

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  4 in total

1.  Localized Cell-Surface Sampling of a Secreted Factor Using Cell-Targeting Beads.

Authors:  Tammi L van Neel; Samuel B Berry; Erwin Berthier; Ashleigh B Theberge
Journal:  Anal Chem       Date:  2020-10-02       Impact factor: 6.986

2.  Investigation of stationary phases performance for eicosanoids profiling in RP-HPLC.

Authors:  Kodjo Nouwade; Sana Tfaili; Pierre Chaminade
Journal:  Anal Bioanal Chem       Date:  2021-09-02       Impact factor: 4.142

3.  Phase separation liquid-liquid extraction for the quantification of 8-iso-Prostaglandin F2 Alpha in human plasma by LC-MS/MS.

Authors:  Desislav G Tomov; Georgeta Bocheva; Vidka Divarova; Lilia Kasabova; Dobrin Svinarov
Journal:  J Med Biochem       Date:  2021-01-26       Impact factor: 3.402

4.  High Glucose Shifts the Oxylipin Profiles in the Astrocytes towards Pro-Inflammatory States.

Authors:  Dmitry V Chistyakov; Sergei V Goriainov; Alina A Astakhova; Marina G Sergeeva
Journal:  Metabolites       Date:  2021-05-13
  4 in total

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