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Group: Bioanalytical chemistry (BACH), Department of Chemistry, University of Oslo, Oslo, Norway

Key members: Steven Ray Wilson, Hanne Røberg-Larsen, Elsa Lundanes

Contact: Hanne Røberg-Larsen,


Research activities: We develop techniques for measuring biosamples. Specialties are analyzing small samples, with a focus on automated/on-line sample preparation. Our analyses are typically performed with liquid chromatography and mass spectrometry. We develop and employ very narrow separation columns for nano-scale separations, which can allow us to detect attogram-amounts of analytes. For automation, we have developed an automated filtration/filter back-flush system (AFFL) for very robust microfluidics (e.g. several thousands of analyses without SPE/column/part replacement). Using these technologies, we measure oxysterols in cells/tissues/exosomes/blood. In addition to oxysterol analyses, we perform targeted/untargeted metabolomics of highly polar compounds, using e.g. HILIC chromatography and NMR spectroscopy. For proteomics, we are developing on-line solutions for rapid analyses, focusing on immobilized enzyme reactors for bottom-up proteomics. We apply our techniques in collaborations related to e.g. cancer, in-born diseases, neuroscience and anti-terror measures.


Key papers related to ENOR:

Mass spectrometric detection of 27-hydroxycholesterol in breast cancer exosomes. Roberg-Larsen H, Lund K, Seterdal KE, Solheim S, Vehus T, Solberg N, Krauss S, Lundanes E, Wilson SR. J Steroid Biochem Mol Biol. 2017, 169:22-28

Highly automated nano-LC/MS-based approach for thousand cell-scale quantification of side chain-hydroxylated oxysterols. Roberg-Larsen H, Lund K, Vehus T, Solberg N, Vesterdal C, Misaghian D, Olsen PA, Krauss S, Wilson SR, Lundanes E. J Lipid Res. 2014, 55(7):1531-6

Versatile, sensitive liquid chromatography mass spectrometry – Implementation of 10 μm OT columns suitable for small molecules, peptides and proteins. T. Vehus,H. Roberg-Larsen, J. Waaler, S. Aslaksen, S. Krauss, S. R. Wilson, and E. Lundanes. Sci. Rep. 2016 6: 37507.

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