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Capillary electrophoresis with UV detection and mass spectrometry in method development for profiling metabolites of steroid hormone metabolism
Technical Research Centre of Finland, VTT, Espoo, Finland; Lappeenranta University of Technology, Lappeenranta, Finland.
Technical Research Centre of Finland, VTT, Espoo, Finland.
Technical Research Centre of Finland, VTT, Espoo, Finland.ORCID iD: 0000-0002-2856-9165
2008 (English)In: Journal of chromatography. B, ISSN 1570-0232, E-ISSN 1873-376X, Vol. 871, no 2, p. 375-382Article in journal (Refereed) Published
Abstract [en]

The aim of this study was to develop a method for comprehensive profiling of metabolites involved in mammalian steroid metabolism. The study was performed using the partial filling micellar electrokinetic chromatography (PF-MEKC) technique for determination of endogenous low-hydrophilic steroids. The detection techniques in capillary electrophoresis were UV absorption and electrospray mass spectrometry (ESI-MS). Thirteen steroids were included in the method development, and the selected were metabolites involved in major pathways of steroid biosynthesis. Although only eight of them could be separated and detected with UV, they could be identified by ESI-MS using selected ion monitoring (SIM) technique. Tandem MS spectra were also collected. UV detection was more sensitive than MS due to better separation of compounds and the selective signal sensitivity. The lowest limits of detection were 10-100 ng/mL for cortisone, corticosterone, hydrocortisone and testosterone. The other steroids could be detected at 500-1000 ng/mL. The identification of cortisone, corticosterone, hydrocortisone, estrogen and testosterone were made in patient urine samples and their concentrations were 1-40 microg/L.

Place, publisher, year, edition, pages
Elsevier, 2008. Vol. 871, no 2, p. 375-382
Keywords [en]
Steroids, partial filling, micellar electrokinetic capillary, electrophoresis, mass spectrometry, urine
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:oru:diva-70921DOI: 10.1016/j.jchromb.2008.06.016ISI: 000259130400028PubMedID: 18585986Scopus ID: 2-s2.0-48749100682OAI: oai:DiVA.org:oru-70921DiVA, id: diva2:1345907
Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-08-28Bibliographically approved

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Oresic, Matej

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