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Prostaglandins E2 and F2α levels in human menstrual fluid by online Solid Phase Extraction coupled to Liquid Chromatography tandem Mass Spectrometry (SPE-LC-MS/MS)
- Canzi, Edione F., Lopes, Bianca Rebelo, Robeldo, Thaiane, Borra, Ricardo, Da Silva, Maria Fatima G.F., Oliveira, Regina V., Maia, Beatriz Helena N.S., Cass, Quezia B.
- Journal of chromatography 2019 v.1109 pp. 60-66
- blood serum, chemical species, guidelines, humans, isotope labeling, lemon juice, liquid chromatography, monitoring, prostaglandins, solid phase extraction, solvents, tandem mass spectrometry, women
- This paper reports an online SPE-LC-MS/MS method for the simultaneous quantification of prostaglandins (PGE2 and PGF2α) in menstrual fluid samples. To meet this goal human peripheral serum was used as surrogate matrix. The analytes were trapped on an OASIS HLB cartridge for 3 min, for sample cleanup and enrichment, and then transferred during only 42 s to an HSS T3 C18 analytical column, for separation and analysis. Prostaglandins (PGs) were detected by selected reaction monitoring in negative ion mode, PGE2 (m/z 351 → 315) and PGF2α (m/z 353 → 193) using isotope-labeled internal standard (PGE2-d4, m/z 355 → 319). The concentration linear range was of 10.34–1.034 ng mL−1 and the lower limit of quantification (LLOQ) was 10.34 ng mL−1 for both PGs. Validation parameters were successfully assessed according to the European Medicines Agency guideline (EMA), also comprising the FDA normative. The method showed no matrix effect and process efficiency around 100%, in addition to only 15 min of analysis time with lower solvent consumption. The method application was carried out using two menstrual fluid sample groups: control (n = 15) and treatment group (n = 7; samples from women that used Tahiti lemon juice). The PGF2α levels were found to be higher in treated group than in control group (p ≤ 0.05), denoting an effect of the intake of Tahiti lemon juice on the menstrual inflammatory process. The on-line method herein reported could be useful for the analysis of PGs from large research studies.