Skip to main navigation Skip to search Skip to main content

Analysis of oxysterols and vitamin D metabolites in mouse brain and cell line samples by ultra-high-performance liquid chromatography-atmospheric pressure photoionization-mass spectrometry

Linda Ahonen, Florian B.R. Maire, Mari Savolainen, Jaakko Kopra, Rob J. Vreeken, Thomas Hankemeier, Timo Myöhänen, Petri Kylli, Risto Kostiainen

33 Citations (Scopus)

Abstract

We have developed an ultra-high-performance liquid chromatography-atmospheric pressure photoionization-tandem mass spectrometric (UHPLC-APPI-MS/MS) method for the simultaneous quantitative analyses of several oxysterols and vitamin D metabolites in mouse brain and cell line samples. An UHPLC-APPI-high resolution mass spectrometric (UHPLC-APPI-HRMS) method that uses a quadrupole-time of flight mass spectrometer was also developed for confirmatory analysis and for the identification of non-targeted oxysterols. Both methods showed good quantitative performance. Furthermore, APPI provides high ionization efficiency for determining oxysterols and vitamin D related compounds without the time consuming derivatization step needed in the conventionally used electrospray ionization method to achieve acceptable sensitivity. Several oxysterols were quantified in mouse brain and cell line samples. Additionally, 25-hydroxyvitamin D3 was detected in mouse brain samples for the first time.

Original languageEnglish
JournalJournal of chromatography. A
Volume1364
Pages (from-to)214-222
Number of pages9
ISSN0021-9673
DOIs
Publication statusPublished - 17 Oct 2014
Externally publishedYes

Keywords

  • Atmospheric pressure photoionization
  • Cell line samples
  • Liquid chromatography–mass spectrometry
  • Mouse brain samples
  • Oxysterols
  • Vitamin D

Fingerprint

Dive into the research topics of 'Analysis of oxysterols and vitamin D metabolites in mouse brain and cell line samples by ultra-high-performance liquid chromatography-atmospheric pressure photoionization-mass spectrometry'. Together they form a unique fingerprint.

Cite this